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8 Trends for Healthcare in 2021

Healthcare Trends

Momentum in digital healthcare transformation… it’s massive, and much needed.

As organizations adapt to new modes of care, demands on resources, and consumer expectations, payors and providers are eyeing opportunities to reduce costs, improve care, build awareness, and expand relationships.Here are 8 trends we’re currently tracking into 2021:


TREND 1

The evolution of healthcare will be characterized by a reengineering of clinical care and operations around digital health and pervasive real-time use of data and advanced analytics.​ Gartner

 

TREND 2

The current landscape has underscored the importance of improving workflows, achieving greater clinical efficiencies and better integrating data across organizations through tools like natural language processing, remote process automation, and cloud-based technologies. Becker’s Hospital Review

 

TREND 3

Now more than ever, healthcare organizations must build a multi-channel digital experience portfolio to deliver personalized consumer-centric experiences that drive engagement and reduce costs. Becker’s Hospital Review

 

TREND 4

With increasing emphasis on cross-platform (EHR, CRM, CMS, virtual health, etc.) and cross-organizational data portability, advanced APIs and interoperability should ensure secure and efficient data exchanges between EHR systems, devices, and various channels of care. Forbes

 

TREND 5

COVID-19 has pushed telehealth into the mainstream, and adoption has gained impressive traction. Expect expansions of asynchronous virtual care leveraging integrated wearable technologies. Business Insider Intelligence / Research and Markets

 

TREND 6

With more healthcare data available, artificial intelligence and machine learning technologies will provide greater speed and insights to analyze and predict outcomes that drive change in patient care. Gartner / Forrester

 

TREND 7

Organizations will continue looking to Social Determinant of Health strategies to help understand health disparities – including those highlighted through COVID-19 infections – and alleviate some of the financial strains while delivering high quality care. Fierce Healthcare / Healthify

 

TREND 8

Successfully making the transition to offering greater price transparency will not only put healthcare organizations in compliance, but help satisfy patient demand, increasing patient engagement and even point-of-service payments. Health Leaders Media

 

The strategy imperative

With so much call for transformation, it’s vital to resist the pull of “shiny object” point solutions and to, instead, build a fully-considered digital strategy. Need help getting started? Our healthcare experts help the nation’s largest providers and payers navigate and execute their north star strategy, tackling specific challenges through assessments, best-practice advice, strategy, and roadmaps. Explore our thought leadership and connect with us to learn more today.

Spotlight

Comprehensive Health Services

Founded in 1975, Comprehensive Health Services, Inc. is one of the nation’s largest and most experienced providers of workforce medical services. We partner with Fortune 1000 companies and the U.S. government to solve the highly complex, large-scale health care challenges they face by implementing and managing cost-effective, customized medical programs for large and dispersed workforces. Our technology-driven, flexible health care solutions are capable of providing tailored services to ensure employers can meet the medical needs and compliance issues of their employees anywhere in the world.

OTHER ARTICLES
Future of Healthcare

How to Get Rid of Technology Bias in Health Tech Marketing

Article | October 25, 2021

Health tech marketers tend to have a real bias problem. Everyone wants to believe that they have the best product available in the market, and are quite vocal about it on social platforms. But, are those the things your buyers want to know about your products? The biggest mistake you can ever make in health tech marketing is leading it with a technology bias. It will immediately create a distance between your audience and you. If you are working in technology, you can easily assume that everyone knows what you are talking about all the time. You breathe and live your industry. And as the marketer of your company's products, it's your responsibility to go to prospects with your tech company’s message. In your personal life, too, you may talk to your friends and families about your work and realize they have no interest in what you say as they have no idea what you are talking about. That is because they are not immersed in your company or industry. The same can happen in your health tech marketing process with your prospects and customers. Instead of focusing on their problems, if you lead with your technology solution and features of your products and company, you will lose them. It is vital to step back and see the bias you have in your company’s marketing initiatives. How Technology Bias Affects Health Tech Marketing The effects of technology bias in health tech marketing are strongest when the health tech marketer focuses more on technology, product, or company than the buyer's pain points. Customers do not want to know everything about your product. They probably want to know how your product can solve their issues. When approaching buyers with your product, this health tech marketing technology bias can have many adverse effects on the buying process. Technology bias in health tech marketing will lead to failure to get the customers' trust. They feel you are just trying to sell your product by explaining your product's features rather than solving the customer's issues. Technology bias in health tech marketing also will result in a negative effect on brand performance. As a health tech marketer, you are wrong in assuming you can sell your products by boosting the company or products of the company. It will only result in losing the customer's trust if you are not considering the buyers' problems. If you are going on with the practice, it will eventually affect your brand's performance as buyers view you as not genuine. This unfair practice of technology bias in health tech marketing will make you realize that you are losing the customers, even the existing ones. No buyer wants to hear more about the features or the technologies used in your products. They are focused on their issues and want to know how your product can solve those issues. Thus, as a health tech marketer, you may have to focus more on the customer pain points when approaching buyers; this will help you convert potential customers into clients. How to Get Rid of Technology Bias and Improve Health Tech Sales FPX Digital Transformation Study 2019 says that B2B companies have shifted their focus to customer experience from internal efficiency. Most of the respondents agree that they spend much of their digital transformation funds improving the customer experience. An important way to implement a buyer-centric or customer-centric marketing approach is to remove bias about your product from your health tech marketing efforts. Mainly, this has to be removed from the messages you send out in the early stages of the buyer journey. However, making it practical is difficult as it is ingrained in how you write, speak, and present your company to external and internal audiences. Here are some tips to get out of technology bias in health tech marketing and get closer to your customers. Listen to Customers Clearly Successful marketers excel not only in communicating but also in listening. It is impossible to create a message about your health tech product if you do not know what problem it can really solve. It will help if you take the time to know your prospects and customers. Do not let your mind wander thinking about which benefits and features you have to push in your health tech marketing. Remain fully present in video, phone, and in-person meetings. That will help you find they have different problems, and you can solve them differently. When you give importance to listening, you will not waste time and effort solving a problem that you think exists. Instead, you will start developing buyer-centric health tech marketing messages that align with your business. Don’t Assume Anything You hate being in a room where people are talking about a subject you know nothing about. Your health tech buyers may have the same experience if you assume your customers know what you do and how they fit into your space. That’s why it’s essential not to take a “features-first” approach in your marketing interactions. You understand your product's ins and outs, but your prospects don’t and are likely not ready for that. As an effective health tech marketing technique, before you assume anything, give them the complete picture of who you are. Simplify the Message A product-driven language full of jargon will make your brand unapproachable for your audience. You can apply the old phrase here, “keep it simple stupid.” You have to position your technology as sophisticated and robust, not convoluted and tricky, through an effective health tech marketing process. Your health tech marketing content should make sense to people both outside and inside your industry and company. Visitors of your website should not go for additional research to understand what you do precisely. It should be clear from your content. Thus, simplifying your content is essential. Make Your Customer the Hero The hero of your health tech marketing story is not you but your customer. After all, your customers in your industry work hard to deliver better service and results to their customers. Your messages should position you as a mentor for your customers that provides technology support in the job of your customers to drive success. The “customer hero” approach should have a fundamental change in how you speak to your customers. The approach is not fully taken hold in the B2B health tech marketing space so far. Share Real World Stories One of the most practical ways to eliminate technology bias from your health tech marketing is to talk more about your customers and less about your products and company. You have to show you have the purpose of bringing in a fundamental change in your industry that enhances the day-to-day business lives of people and not just sell great technology. Testimonials and customer case studies help a lot in shaping your brand story. Using them, narratives can be created about your customers' journey after and before using your technology. Rather than detailing the benefits and features of technology, narratives highlight the platform's tangible business value for real people in businesses. Final Word Technology brings a change in companies, and most people do not accept changes so quickly. It is because the change pushes people to do things differently by moving beyond their comfort zones. As part of health tech marketing, your job is not to make this change terrifying, but compelling for your buyers. This will happen only when you take your technology out of your head and start focusing on your clients' requirements, problems they face, and what exactly they need from you. It will then surely make you put your product and technology bias aside. And you will be capable of effectively executing your health tech marketing initiatives. Frequently Asked Questions How does health tech marketing become effective? Effective health tech marketing is essential to reach out to potential clients and grab their attention. Health tech marketing becomes effective only when the marketer focuses on the requirements of the clients rather than on the features of the product or company. What is technology bias in marketing? Technology bias in marketing is focusing much on your product or technology when you market a technology product to your prospects. Getting rid of this bias will make you attract more clients and successful in your marketing. How to get rid of technology bias in health tech marketing? Technology bias in your health tech marketing makes the customers put a distance from you. The best way to get rid of it is to make the customer the hero of your marketing messages by focusing on their issues. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How does health tech marketing become effective?", "acceptedAnswer": { "@type": "Answer", "text": "Effective health tech marketing is essential to reach out to potential clients and grab their attention. Health tech marketing becomes effective only when the marketer focuses on the requirements of the clients rather than on the features of the product or company." } },{ "@type": "Question", "name": "What is technology bias in marketing?", "acceptedAnswer": { "@type": "Answer", "text": "Technology bias in marketing is focusing much on your product or technology when you market a technology product to your prospects. Getting rid of this bias will make you attract more clients and successful in your marketing." } },{ "@type": "Question", "name": "How to get rid of technology bias in health tech marketing?", "acceptedAnswer": { "@type": "Answer", "text": "Technology bias in your health tech marketing makes the customers put a distance from you. The best way to get rid of it is to make the customer the hero of your marketing messages by focusing on their issues." } }] }

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Future of Healthcare

Transforming Digital Healthcare Software through AI-Enhanced UX Testing

Article | December 8, 2020

Embracing the AI Revolution: Transforming Digital Healthcare Software through AI-Enhanced UX Testing The wave of demographic change sweeping the United States presents an urgent call to action for healthcare providers. According to the US Census Bureau, adults over 65 will account for a quarter of the US population by 2060, signaling a drastic shift in healthcare delivery needs. More than half a million of this demographic will be centenarians, accentuating the need for digital experiences tailored to seniors' unique needs. Despite the rapid advancement of digital health technologies, research indicates that many senior citizens struggle to adapt. A recent study reported that 40% of adults over 65 believe their telemedicine visit was inferior to traditional in-person care, with a meager 5% finding it superior. The promise of convenience delivered by digital health is often overshadowed by the frustration associated with technical difficulties. An astounding 75% of senior citizens admit they need assistance when using new electronic devices. Let's consider the patient portal app, a common touchpoint in the digital health journey. Despite its apparent simplicity, seniors find processes like logging in troublesome due to issues like forgotten passwords, technical bugs, or content readability. This scenario underlines the crucial need for comprehensive User Experience (UX) testing to eliminate these barriers and provide a seamless digital health experience. The Complex Landscape of Healthcare UX Testing The complexity of UX testing in healthcare has been exacerbated by the interplay of multiple modules, services, platforms, and vendors. Take Electronic Medical Record (EMR) systems, for instance, which undergo frequent updates, each one potentially impacting the system as a whole. Traditional manual testing methodologies are proving to be time-consuming and costly. Though automation has revolutionized sectors from automotive to finance, the healthcare industry appears to be lagging. A study by the Health Information and Management Systems Society (HIMSS) reveals that a mere 15% of healthcare providers have adopted modern test automation platforms. Meanwhile, a significant 41% still rely on manual testing. As EMR systems grow increasingly complex and customized, this over-reliance on manual testing poses daunting challenges. The gravity of this issue is amplified by a startling revelation from the HIMSS study - only 6% of healthcare executive leaders express confidence in their organizations' testing practices. In an increasingly digitized healthcare environment, such a low level of assurance raises substantial concerns about patient safety. Although 75% of the surveyed providers have invested in software testing to safeguard their bottom lines, nearly two-thirds confess feeling inadequately resourced in terms of time, money, and talent to meet future testing requirements. As the list of testing demands grows, QA teams are frequently stretched thin, leaving many potential user journey scenarios untested. The Power of AI in UX Testing for Better Patient Outcomes AI technologies hold the potential to revolutionize UX testing in healthcare. The modern healthcare application is a labyrinth of potential user journeys - a typical mobile application model can yield over 9 billion separate scenarios. To effectively navigate this colossal testing landscape, test automation tools employing Machine Learning (ML) algorithms are critical. By analyzing historical patterns, prioritized cases, and real-user insights, ML algorithms can auto-generate test cases and meticulously scrutinize each user interaction. This approach ensures an optimal digital experience and robust coverage of potential issues. The HIMSS study also provides a glimmer of hope, revealing that nearly 80% of healthcare providers plan to adopt real-time testing analytics for quality assurance. AI's role becomes pivotal in augmenting the capacity of software testing teams in this scenario. By leveraging historical patterns and prioritizing test cases, ML-powered testing tools can automate crucial tests across various platforms, devices, and operating systems. This symbiosis of human expertise and AI not only bolsters productivity but enables comprehensive testing coverage within tight time constraints. The Future of Healthcare Software UX Testing The path to perfecting a patient’s digital journey is fraught with challenges. Healthcare organizations venturing into automated software testing or contemplating in-house tool replacement must stay abreast of evolving healthcare testing requirements. This understanding is key when evaluating automation vendors against the backdrop of regulatory standards. Opting for a technology-agnostic solution ensures extensive test coverage, boosts efficiency, and guarantees longevity as technologies advance. Introducing your software QA teams to user-friendly, low/no-code test automation tools can simplify the onboarding process and fosters better collaboration with Dev teams and business testers. As we stand at the precipice of this transformative period in healthcare, it's clear that the AI revolution holds the key to unlocking the future of digital healthcare UX testing. By harnessing AI's potential, healthcare providers can ensure a user-friendly, seamless digital experience for the fastest-growing demographic, setting new industry standards in the process.

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Future of Healthcare

Innovation Insight for Healthcare Provider Digital Twins

Article | February 19, 2022

A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is a model that mirrors a unique physical object, process, organization, person or other abstraction. For healthcare providers, digital twins provide an abstraction of the healthcare ecosystem’s component characteristics and behaviors. These are used in combination with other real-time health system (RTHS) capabilities to provide real-time monitoring, process simulation for efficiency improvements, population health and long-term, cross-functional statistical analyses. Digital twins have the potential to transform and accelerate decision making, reduce clinical risk, improve operational efficiencies and lower cost of care, resulting in better competitive advantage for HDOs. However, digital twins will only be as valuable as the quality of the data utilized to create them. The digital twin of a real-world entity is a method to create relevance for descriptive data about its modeled entity. How that digital twin is built and used can lead to better-informed care pathways and organizational decisions, but it can also lead clinicians and executives down a path of frustration if they get the source data wrong. The underlying systems that gather and process data are key to the success for digital twin creation. Get those systems right and digital twins can accelerate care delivery and operational efficiencies. Twins in Healthcare Delivery The fact is that HDOs have been using digital twins for years. Although rudimentary in function, digital representations of patients, workflow processes and hospital operations have already been applied by caregivers and administrators across the HDO. For example, a physician uses a digital medical record to develop a treatment plan for a patient. The information in the medical record (a rudimentary digital twin) along with the physician’s experience, training and education combine to provide a diagnostic or treatment plan. Any gaps in information must be compensated through additional data gathering, trial-and-error treatments, intuitive leaps informed through experience or simply guessing. The CIO’s task now is to remove as many of those gaps as possible using available technology to give the physician the greatest opportunity to return their patients to wellness in the most efficient possible manner. Today, one way to close those gaps is to create the technology-based mechanisms to collect accurate data for the various decision contexts within the HDO. These contexts are numerous and include decisioning perspectives for every functional unit within the enterprise. The more accurate the data collected on a specific topic, the higher the value of the downstream digital twin to each decision maker (see Figure 1). Figure 1: Digital Twins Are Only as Good as Their Data Source HDO CIOs and other leaders that base decisions on poor-quality digital twins increase organizational risk and potential patient care risk. Alternatively, high-quality digital twins will accelerate digital business and patient care effectiveness by providing decision makers the best information in the correct context, in the right moment and at the right place — hallmarks of the RTHS. Benefits and Uses Digital Twin Types in Healthcare Delivery Current practices for digital twins take two basic forms: discrete digital twins and composite digital twins. Discrete digital twins are the type that most people think about when approaching the topic. These digital twins are one-dimensional, created from a single set or source of data. An MRI study of a lung, for example, is used to create a digital representation of a patient that can be used by trained analytics processes to detect the subtle image variations that indicate a cancerous tumor. The model of the patient’s lung is a discrete digital twin. There are numerous other examples of discrete digital twins across healthcare delivery, each example tied to data collection technologies for specific clinical diagnostic purposes. Some of these data sources include vitals monitors, imaging technologies for specific conditions, sensors for electroencephalography (EEG) and electrocardiogram (ECG). All these technologies deliver discrete data describing one (or very few) aspects of a patient’s condition. Situational awareness is at the heart of HDO digital twins. They are the culmination of information gathered from IoT and other sources to create an informed, accurate digital model of the real-world healthcare organization. Situational awareness is the engine behind various “hospital of the future,” “digital hospital” and “smart patient room” initiatives. It is at the core of the RTHS. Digital twins, when applied through the RTHS, positively impact these organizational areas (with associated technology examples — the technologies all use one or more types of digital twins to fulfill their capability): Care delivery: Clinical communication and collaboration Next-generation nurse call Alarms and notifications Crisis/emergency management Patient engagement: Experiential wayfinding Integrated patient room Risks Digital Twin Usability Digital twin risk is tied directly to usability. Digital twin usability is another way of looking at the issue created by poor data quality or low data point counts used to create the twins. Decision making is a process that is reliant on inputs from relevant information sources combined with education, experience, risk assessment, defined requirements, criteria and opportunities to reach a plausible conclusion. There is a boundary or threshold that must be reached for each of these inputs before a person or system can derive a decision. When digital twins are used for one or many of these sources, the ability to cross these decision thresholds to create reasonable and actionable conclusions is tied to the accuracy of the twins (see Figure 2). Figure 2: Digital Twin Usability Thresholds For example, the amount of information about a patient room required to decide if the space is too hot or cold is low (due to a single temperature reading from a wall-mounted thermostat). In addition, the accuracy or quality of that data can be low (that is, a few degrees off) and still be effective for deciding to raise or lower the room temperature. To decide if the chiller on the roof of that patient wing needs to be replaced, the decision maker needs much more information. That data may represent all thermostat readings in the wing over a long period of time with some level of verification on temperature accuracy. The data may also include energy load information over the same period consumed by the associated chiller. If viewed in terms of a digital twin, the complexity level and accuracy level of the source data must pass an accuracy threshold that allows users to form accurate decisions. There are multiple thresholds for each digital twin — based on twin quality — whether that twin is a patient, a revenue cycle workflow or hospital wing. These thresholds create a limit of decision impact; the lower the twin quality the less important the available decision for the real-world entity the twin represents. Trusting Digital Twins for HDOs The concept of a limit of detail required to make certain decisions raises certain questions. First, “how does a decision maker know they have enough detail in their digital twin to take action based on what the model is describing about its real-world counterpart?” The answer lies in measurement and monitoring of specific aspects of a digital twin, whether it be a discrete twin, composite twin or organization twin. Users must understand the inputs required for decisions and where twins will provide one or more of the components of that input. They need to examine the required decision criteria in order to reach the appropriate level of expected outcome from the decision itself. These feed into the measurements that users will have to monitor for each twin. These criteria will be unique to each twin. Composite twins will have unique measurements that may be independent from the underlying discrete twin measurement. The monitoring of these key twin characteristics must be as current as the target twin’s data flow or update process. Digital twins that are updated once can have a single measurement to gauge its appropriateness for decisioning. A twin that is updated every second based on event stream data must be measured continuously. This trap is the same for all digital twins regardless of context. The difference is in the potential impact. A facilities decision that leads to cooler-than-desired temperatures in the hallways pales in comparison to a faulty clinical diagnosis that leads to unnecessary testing or negative patient outcomes. All it takes is a single instance of a digital twin used beyond its means with negative results for trust to disappear — erasing the significant investments in time and effort it took to create the twin. That is why it is imperative that twins be considered a technology product that requires constant process improvement. From the IoT edge where data is collected to the data ingestion and analytics processes that consume and mold the data to the digital twin creation routines, all must be under continuous pressure for improvement. Recommendations Include a Concise Digital Twin Vision Within the HDO Digital Transformation Strategy Digital twins are one of the foundational constructs supporting digital transformation efforts by HDO CIOs. They are digital representations of the real-world entities targeted by organizations that benefit from the advances and efficiencies technologies bring to healthcare delivery. Those technology advances and efficiencies will only be delivered successfully if the underlying data and associated digital twins have the appropriate level of precision to sustain the transformation initiatives. To ensure this attention to digital twin worthiness, it is imperative that HDO CIOs include a digital twin vision as part of their organization’s digital transformation strategy. Binding the two within the strategy will reinforce the important role digital twins play in achieving the desired outcomes with all participating stakeholders. Building new capabilities — APIs, artificial intelligence (AI) and other new technologies enable the connections and automation that the platform provides. Leveraging existing systems — Legacy systems that an HDO already owns can be adapted and connected to form part of its digital platform. Applying the platform to the industry — Digital platforms must support specific use cases, and those use cases will reflect the needs of patients, employees and other consumers. Create a Digital Twin Pilot Program Like other advanced technology ideas, a digital twin program is best started as a simple project that can act as a starting point for maturity over time. Begin this by selecting a simple model of a patient, a department or other entity tied to a specific desired business or clinical outcome. The goal is to understand the challenges your organization will face when implementing digital twins. The target for the digital twin should be discrete and easily managed. For example, a digital twin of a blood bank storage facility is a contained entity with a limited number of measurement points, such as temperature, humidity and door activity. The digital twin could be used to simulate the impact of door open time on temperature and humidity within the storage facility. The idea is to pick a project that allows your team to concentrate on data collection and twin creation processes rather than get tied up in specific details of the modeled object. Begin by analyzing the underlying source data required to compose the digital twin, with the understanding that the usability of the twins is directly correlated to its data’s quality. Understand the full data pathway from the IoT devices through to where that data is stored. Think through the data collection type needed for the twin, is discrete data or real-time data required? How much data is needed to form the twin accurately? How accurate is the data generated by the IoT devices? Create a simulation environment to exercise the digital twin through its paces against known operational variables. The twin’s value is tied to how the underlying data represents the response of the modeled entity against external input. Keep this simple to start with — concentrate on the IT mechanisms that create and execute the twin and the simulation environment. Monitor and measure the performance of the digital twin. Use the virtuous cycle to create a constant improvement process for the sample twin. Experience gained through this simple project will create many lessons learned and best practices to follow for complex digital twins that will follow.

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Health Technology

The Long-Term Care Software: Mapping the Future

Article | July 13, 2022

Long-term care comprises all the health services that help patients with chronic illnesses or disabilities meet their medical and non-medical needs. It caters to those who cannot care for themselves for extended durations. For care providers, it becomes critical to meet the needs of patients on time while delivering top-notch quality, especially at a time when virtual care is more important than ever. To remedy this, many of the tasks and processes within long-term care are supported by digital solutions. These long-term care software applications enable care providers to automate aspects of patient scheduling, inventory control, regulation and compliance, data management, care delivery management, and much more. Some of the end users of long-term care software include home healthcare agencies, nursing homes, and residential hospice care facilities. What is Driving the Growth of Long-Term Care Solutions? Digitalization has swept the healthcare industry, and medical technology now occupies a significant area of medical care delivery. With the demand for a robust healthcare infrastructure aggravated by a shortage of medical professionals, the need for automation is driving the growth of medtech across all areas of healthcare. In addition, fewer medical specialists and medical cost reduction initiatives combined are powering the long-term care software market’s growth. Challenges for the Long-Term Care Software Market Despite the rapid growth in the use of digital solutions to manage administrative and compliance tasks, technological transformations are expensive. The high maintenance costs incurred by care providers are a major hindrance towards a full-fledged adoption. Many care providers are also unwilling to adopt new applications due to the implementation and staff training costs involved in doing so. What the Future Holds? With an increase in remote care and the use of technologies like the Internet of Medical Things to deliver diagnostic services and preventive care, medtech is witnessing a revolution. Long-term care is bound to follow suit thanks to areas like remote patient monitoring and wearable technology. While the long-term care market is slated to grow by leaps and bounds, solution makers must find a way to help care providers warm up to the use of technology and de

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Future of Healthcare

The promising future of Wellness Industry in India

Article | October 25, 2021

Health tech marketers tend to have a real bias problem. Everyone wants to believe that they have the best product available in the market, and are quite vocal about it on social platforms. But, are those the things your buyers want to know about your products? The biggest mistake you can ever make in health tech marketing is leading it with a technology bias. It will immediately create a distance between your audience and you. If you are working in technology, you can easily assume that everyone knows what you are talking about all the time. You breathe and live your industry. And as the marketer of your company's products, it's your responsibility to go to prospects with your tech company’s message. In your personal life, too, you may talk to your friends and families about your work and realize they have no interest in what you say as they have no idea what you are talking about. That is because they are not immersed in your company or industry. The same can happen in your health tech marketing process with your prospects and customers. Instead of focusing on their problems, if you lead with your technology solution and features of your products and company, you will lose them. It is vital to step back and see the bias you have in your company’s marketing initiatives. How Technology Bias Affects Health Tech Marketing The effects of technology bias in health tech marketing are strongest when the health tech marketer focuses more on technology, product, or company than the buyer's pain points. Customers do not want to know everything about your product. They probably want to know how your product can solve their issues. When approaching buyers with your product, this health tech marketing technology bias can have many adverse effects on the buying process. Technology bias in health tech marketing will lead to failure to get the customers' trust. They feel you are just trying to sell your product by explaining your product's features rather than solving the customer's issues. Technology bias in health tech marketing also will result in a negative effect on brand performance. As a health tech marketer, you are wrong in assuming you can sell your products by boosting the company or products of the company. It will only result in losing the customer's trust if you are not considering the buyers' problems. If you are going on with the practice, it will eventually affect your brand's performance as buyers view you as not genuine. This unfair practice of technology bias in health tech marketing will make you realize that you are losing the customers, even the existing ones. No buyer wants to hear more about the features or the technologies used in your products. They are focused on their issues and want to know how your product can solve those issues. Thus, as a health tech marketer, you may have to focus more on the customer pain points when approaching buyers; this will help you convert potential customers into clients. How to Get Rid of Technology Bias and Improve Health Tech Sales FPX Digital Transformation Study 2019 says that B2B companies have shifted their focus to customer experience from internal efficiency. Most of the respondents agree that they spend much of their digital transformation funds improving the customer experience. An important way to implement a buyer-centric or customer-centric marketing approach is to remove bias about your product from your health tech marketing efforts. Mainly, this has to be removed from the messages you send out in the early stages of the buyer journey. However, making it practical is difficult as it is ingrained in how you write, speak, and present your company to external and internal audiences. Here are some tips to get out of technology bias in health tech marketing and get closer to your customers. Listen to Customers Clearly Successful marketers excel not only in communicating but also in listening. It is impossible to create a message about your health tech product if you do not know what problem it can really solve. It will help if you take the time to know your prospects and customers. Do not let your mind wander thinking about which benefits and features you have to push in your health tech marketing. Remain fully present in video, phone, and in-person meetings. That will help you find they have different problems, and you can solve them differently. When you give importance to listening, you will not waste time and effort solving a problem that you think exists. Instead, you will start developing buyer-centric health tech marketing messages that align with your business. Don’t Assume Anything You hate being in a room where people are talking about a subject you know nothing about. Your health tech buyers may have the same experience if you assume your customers know what you do and how they fit into your space. That’s why it’s essential not to take a “features-first” approach in your marketing interactions. You understand your product's ins and outs, but your prospects don’t and are likely not ready for that. As an effective health tech marketing technique, before you assume anything, give them the complete picture of who you are. Simplify the Message A product-driven language full of jargon will make your brand unapproachable for your audience. You can apply the old phrase here, “keep it simple stupid.” You have to position your technology as sophisticated and robust, not convoluted and tricky, through an effective health tech marketing process. Your health tech marketing content should make sense to people both outside and inside your industry and company. Visitors of your website should not go for additional research to understand what you do precisely. It should be clear from your content. Thus, simplifying your content is essential. Make Your Customer the Hero The hero of your health tech marketing story is not you but your customer. After all, your customers in your industry work hard to deliver better service and results to their customers. Your messages should position you as a mentor for your customers that provides technology support in the job of your customers to drive success. The “customer hero” approach should have a fundamental change in how you speak to your customers. The approach is not fully taken hold in the B2B health tech marketing space so far. Share Real World Stories One of the most practical ways to eliminate technology bias from your health tech marketing is to talk more about your customers and less about your products and company. You have to show you have the purpose of bringing in a fundamental change in your industry that enhances the day-to-day business lives of people and not just sell great technology. Testimonials and customer case studies help a lot in shaping your brand story. Using them, narratives can be created about your customers' journey after and before using your technology. Rather than detailing the benefits and features of technology, narratives highlight the platform's tangible business value for real people in businesses. Final Word Technology brings a change in companies, and most people do not accept changes so quickly. It is because the change pushes people to do things differently by moving beyond their comfort zones. As part of health tech marketing, your job is not to make this change terrifying, but compelling for your buyers. This will happen only when you take your technology out of your head and start focusing on your clients' requirements, problems they face, and what exactly they need from you. It will then surely make you put your product and technology bias aside. And you will be capable of effectively executing your health tech marketing initiatives. Frequently Asked Questions How does health tech marketing become effective? Effective health tech marketing is essential to reach out to potential clients and grab their attention. Health tech marketing becomes effective only when the marketer focuses on the requirements of the clients rather than on the features of the product or company. What is technology bias in marketing? Technology bias in marketing is focusing much on your product or technology when you market a technology product to your prospects. Getting rid of this bias will make you attract more clients and successful in your marketing. How to get rid of technology bias in health tech marketing? Technology bias in your health tech marketing makes the customers put a distance from you. The best way to get rid of it is to make the customer the hero of your marketing messages by focusing on their issues. { "@context": "https://schema.org", "@type": "FAQPage", "mainEntity": [{ "@type": "Question", "name": "How does health tech marketing become effective?", "acceptedAnswer": { "@type": "Answer", "text": "Effective health tech marketing is essential to reach out to potential clients and grab their attention. Health tech marketing becomes effective only when the marketer focuses on the requirements of the clients rather than on the features of the product or company." } },{ "@type": "Question", "name": "What is technology bias in marketing?", "acceptedAnswer": { "@type": "Answer", "text": "Technology bias in marketing is focusing much on your product or technology when you market a technology product to your prospects. Getting rid of this bias will make you attract more clients and successful in your marketing." } },{ "@type": "Question", "name": "How to get rid of technology bias in health tech marketing?", "acceptedAnswer": { "@type": "Answer", "text": "Technology bias in your health tech marketing makes the customers put a distance from you. The best way to get rid of it is to make the customer the hero of your marketing messages by focusing on their issues." } }] }

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Future of Healthcare

Hangover Alcohol Syndrome

Article | December 8, 2020

Embracing the AI Revolution: Transforming Digital Healthcare Software through AI-Enhanced UX Testing The wave of demographic change sweeping the United States presents an urgent call to action for healthcare providers. According to the US Census Bureau, adults over 65 will account for a quarter of the US population by 2060, signaling a drastic shift in healthcare delivery needs. More than half a million of this demographic will be centenarians, accentuating the need for digital experiences tailored to seniors' unique needs. Despite the rapid advancement of digital health technologies, research indicates that many senior citizens struggle to adapt. A recent study reported that 40% of adults over 65 believe their telemedicine visit was inferior to traditional in-person care, with a meager 5% finding it superior. The promise of convenience delivered by digital health is often overshadowed by the frustration associated with technical difficulties. An astounding 75% of senior citizens admit they need assistance when using new electronic devices. Let's consider the patient portal app, a common touchpoint in the digital health journey. Despite its apparent simplicity, seniors find processes like logging in troublesome due to issues like forgotten passwords, technical bugs, or content readability. This scenario underlines the crucial need for comprehensive User Experience (UX) testing to eliminate these barriers and provide a seamless digital health experience. The Complex Landscape of Healthcare UX Testing The complexity of UX testing in healthcare has been exacerbated by the interplay of multiple modules, services, platforms, and vendors. Take Electronic Medical Record (EMR) systems, for instance, which undergo frequent updates, each one potentially impacting the system as a whole. Traditional manual testing methodologies are proving to be time-consuming and costly. Though automation has revolutionized sectors from automotive to finance, the healthcare industry appears to be lagging. A study by the Health Information and Management Systems Society (HIMSS) reveals that a mere 15% of healthcare providers have adopted modern test automation platforms. Meanwhile, a significant 41% still rely on manual testing. As EMR systems grow increasingly complex and customized, this over-reliance on manual testing poses daunting challenges. The gravity of this issue is amplified by a startling revelation from the HIMSS study - only 6% of healthcare executive leaders express confidence in their organizations' testing practices. In an increasingly digitized healthcare environment, such a low level of assurance raises substantial concerns about patient safety. Although 75% of the surveyed providers have invested in software testing to safeguard their bottom lines, nearly two-thirds confess feeling inadequately resourced in terms of time, money, and talent to meet future testing requirements. As the list of testing demands grows, QA teams are frequently stretched thin, leaving many potential user journey scenarios untested. The Power of AI in UX Testing for Better Patient Outcomes AI technologies hold the potential to revolutionize UX testing in healthcare. The modern healthcare application is a labyrinth of potential user journeys - a typical mobile application model can yield over 9 billion separate scenarios. To effectively navigate this colossal testing landscape, test automation tools employing Machine Learning (ML) algorithms are critical. By analyzing historical patterns, prioritized cases, and real-user insights, ML algorithms can auto-generate test cases and meticulously scrutinize each user interaction. This approach ensures an optimal digital experience and robust coverage of potential issues. The HIMSS study also provides a glimmer of hope, revealing that nearly 80% of healthcare providers plan to adopt real-time testing analytics for quality assurance. AI's role becomes pivotal in augmenting the capacity of software testing teams in this scenario. By leveraging historical patterns and prioritizing test cases, ML-powered testing tools can automate crucial tests across various platforms, devices, and operating systems. This symbiosis of human expertise and AI not only bolsters productivity but enables comprehensive testing coverage within tight time constraints. The Future of Healthcare Software UX Testing The path to perfecting a patient’s digital journey is fraught with challenges. Healthcare organizations venturing into automated software testing or contemplating in-house tool replacement must stay abreast of evolving healthcare testing requirements. This understanding is key when evaluating automation vendors against the backdrop of regulatory standards. Opting for a technology-agnostic solution ensures extensive test coverage, boosts efficiency, and guarantees longevity as technologies advance. Introducing your software QA teams to user-friendly, low/no-code test automation tools can simplify the onboarding process and fosters better collaboration with Dev teams and business testers. As we stand at the precipice of this transformative period in healthcare, it's clear that the AI revolution holds the key to unlocking the future of digital healthcare UX testing. By harnessing AI's potential, healthcare providers can ensure a user-friendly, seamless digital experience for the fastest-growing demographic, setting new industry standards in the process.

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Future of Healthcare

What’s the Best Post-COVID-19 Anesthesia Business Model -Hospital-Based or ASCs?

Article | February 19, 2022

A digital twin is a digital representation of a real-world entity or system. The implementation of a digital twin is a model that mirrors a unique physical object, process, organization, person or other abstraction. For healthcare providers, digital twins provide an abstraction of the healthcare ecosystem’s component characteristics and behaviors. These are used in combination with other real-time health system (RTHS) capabilities to provide real-time monitoring, process simulation for efficiency improvements, population health and long-term, cross-functional statistical analyses. Digital twins have the potential to transform and accelerate decision making, reduce clinical risk, improve operational efficiencies and lower cost of care, resulting in better competitive advantage for HDOs. However, digital twins will only be as valuable as the quality of the data utilized to create them. The digital twin of a real-world entity is a method to create relevance for descriptive data about its modeled entity. How that digital twin is built and used can lead to better-informed care pathways and organizational decisions, but it can also lead clinicians and executives down a path of frustration if they get the source data wrong. The underlying systems that gather and process data are key to the success for digital twin creation. Get those systems right and digital twins can accelerate care delivery and operational efficiencies. Twins in Healthcare Delivery The fact is that HDOs have been using digital twins for years. Although rudimentary in function, digital representations of patients, workflow processes and hospital operations have already been applied by caregivers and administrators across the HDO. For example, a physician uses a digital medical record to develop a treatment plan for a patient. The information in the medical record (a rudimentary digital twin) along with the physician’s experience, training and education combine to provide a diagnostic or treatment plan. Any gaps in information must be compensated through additional data gathering, trial-and-error treatments, intuitive leaps informed through experience or simply guessing. The CIO’s task now is to remove as many of those gaps as possible using available technology to give the physician the greatest opportunity to return their patients to wellness in the most efficient possible manner. Today, one way to close those gaps is to create the technology-based mechanisms to collect accurate data for the various decision contexts within the HDO. These contexts are numerous and include decisioning perspectives for every functional unit within the enterprise. The more accurate the data collected on a specific topic, the higher the value of the downstream digital twin to each decision maker (see Figure 1). Figure 1: Digital Twins Are Only as Good as Their Data Source HDO CIOs and other leaders that base decisions on poor-quality digital twins increase organizational risk and potential patient care risk. Alternatively, high-quality digital twins will accelerate digital business and patient care effectiveness by providing decision makers the best information in the correct context, in the right moment and at the right place — hallmarks of the RTHS. Benefits and Uses Digital Twin Types in Healthcare Delivery Current practices for digital twins take two basic forms: discrete digital twins and composite digital twins. Discrete digital twins are the type that most people think about when approaching the topic. These digital twins are one-dimensional, created from a single set or source of data. An MRI study of a lung, for example, is used to create a digital representation of a patient that can be used by trained analytics processes to detect the subtle image variations that indicate a cancerous tumor. The model of the patient’s lung is a discrete digital twin. There are numerous other examples of discrete digital twins across healthcare delivery, each example tied to data collection technologies for specific clinical diagnostic purposes. Some of these data sources include vitals monitors, imaging technologies for specific conditions, sensors for electroencephalography (EEG) and electrocardiogram (ECG). All these technologies deliver discrete data describing one (or very few) aspects of a patient’s condition. Situational awareness is at the heart of HDO digital twins. They are the culmination of information gathered from IoT and other sources to create an informed, accurate digital model of the real-world healthcare organization. Situational awareness is the engine behind various “hospital of the future,” “digital hospital” and “smart patient room” initiatives. It is at the core of the RTHS. Digital twins, when applied through the RTHS, positively impact these organizational areas (with associated technology examples — the technologies all use one or more types of digital twins to fulfill their capability): Care delivery: Clinical communication and collaboration Next-generation nurse call Alarms and notifications Crisis/emergency management Patient engagement: Experiential wayfinding Integrated patient room Risks Digital Twin Usability Digital twin risk is tied directly to usability. Digital twin usability is another way of looking at the issue created by poor data quality or low data point counts used to create the twins. Decision making is a process that is reliant on inputs from relevant information sources combined with education, experience, risk assessment, defined requirements, criteria and opportunities to reach a plausible conclusion. There is a boundary or threshold that must be reached for each of these inputs before a person or system can derive a decision. When digital twins are used for one or many of these sources, the ability to cross these decision thresholds to create reasonable and actionable conclusions is tied to the accuracy of the twins (see Figure 2). Figure 2: Digital Twin Usability Thresholds For example, the amount of information about a patient room required to decide if the space is too hot or cold is low (due to a single temperature reading from a wall-mounted thermostat). In addition, the accuracy or quality of that data can be low (that is, a few degrees off) and still be effective for deciding to raise or lower the room temperature. To decide if the chiller on the roof of that patient wing needs to be replaced, the decision maker needs much more information. That data may represent all thermostat readings in the wing over a long period of time with some level of verification on temperature accuracy. The data may also include energy load information over the same period consumed by the associated chiller. If viewed in terms of a digital twin, the complexity level and accuracy level of the source data must pass an accuracy threshold that allows users to form accurate decisions. There are multiple thresholds for each digital twin — based on twin quality — whether that twin is a patient, a revenue cycle workflow or hospital wing. These thresholds create a limit of decision impact; the lower the twin quality the less important the available decision for the real-world entity the twin represents. Trusting Digital Twins for HDOs The concept of a limit of detail required to make certain decisions raises certain questions. First, “how does a decision maker know they have enough detail in their digital twin to take action based on what the model is describing about its real-world counterpart?” The answer lies in measurement and monitoring of specific aspects of a digital twin, whether it be a discrete twin, composite twin or organization twin. Users must understand the inputs required for decisions and where twins will provide one or more of the components of that input. They need to examine the required decision criteria in order to reach the appropriate level of expected outcome from the decision itself. These feed into the measurements that users will have to monitor for each twin. These criteria will be unique to each twin. Composite twins will have unique measurements that may be independent from the underlying discrete twin measurement. The monitoring of these key twin characteristics must be as current as the target twin’s data flow or update process. Digital twins that are updated once can have a single measurement to gauge its appropriateness for decisioning. A twin that is updated every second based on event stream data must be measured continuously. This trap is the same for all digital twins regardless of context. The difference is in the potential impact. A facilities decision that leads to cooler-than-desired temperatures in the hallways pales in comparison to a faulty clinical diagnosis that leads to unnecessary testing or negative patient outcomes. All it takes is a single instance of a digital twin used beyond its means with negative results for trust to disappear — erasing the significant investments in time and effort it took to create the twin. That is why it is imperative that twins be considered a technology product that requires constant process improvement. From the IoT edge where data is collected to the data ingestion and analytics processes that consume and mold the data to the digital twin creation routines, all must be under continuous pressure for improvement. Recommendations Include a Concise Digital Twin Vision Within the HDO Digital Transformation Strategy Digital twins are one of the foundational constructs supporting digital transformation efforts by HDO CIOs. They are digital representations of the real-world entities targeted by organizations that benefit from the advances and efficiencies technologies bring to healthcare delivery. Those technology advances and efficiencies will only be delivered successfully if the underlying data and associated digital twins have the appropriate level of precision to sustain the transformation initiatives. To ensure this attention to digital twin worthiness, it is imperative that HDO CIOs include a digital twin vision as part of their organization’s digital transformation strategy. Binding the two within the strategy will reinforce the important role digital twins play in achieving the desired outcomes with all participating stakeholders. Building new capabilities — APIs, artificial intelligence (AI) and other new technologies enable the connections and automation that the platform provides. Leveraging existing systems — Legacy systems that an HDO already owns can be adapted and connected to form part of its digital platform. Applying the platform to the industry — Digital platforms must support specific use cases, and those use cases will reflect the needs of patients, employees and other consumers. Create a Digital Twin Pilot Program Like other advanced technology ideas, a digital twin program is best started as a simple project that can act as a starting point for maturity over time. Begin this by selecting a simple model of a patient, a department or other entity tied to a specific desired business or clinical outcome. The goal is to understand the challenges your organization will face when implementing digital twins. The target for the digital twin should be discrete and easily managed. For example, a digital twin of a blood bank storage facility is a contained entity with a limited number of measurement points, such as temperature, humidity and door activity. The digital twin could be used to simulate the impact of door open time on temperature and humidity within the storage facility. The idea is to pick a project that allows your team to concentrate on data collection and twin creation processes rather than get tied up in specific details of the modeled object. Begin by analyzing the underlying source data required to compose the digital twin, with the understanding that the usability of the twins is directly correlated to its data’s quality. Understand the full data pathway from the IoT devices through to where that data is stored. Think through the data collection type needed for the twin, is discrete data or real-time data required? How much data is needed to form the twin accurately? How accurate is the data generated by the IoT devices? Create a simulation environment to exercise the digital twin through its paces against known operational variables. The twin’s value is tied to how the underlying data represents the response of the modeled entity against external input. Keep this simple to start with — concentrate on the IT mechanisms that create and execute the twin and the simulation environment. Monitor and measure the performance of the digital twin. Use the virtuous cycle to create a constant improvement process for the sample twin. Experience gained through this simple project will create many lessons learned and best practices to follow for complex digital twins that will follow.

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Health Technology

The Long-Term Care Software: Mapping the Future

Article | July 13, 2022

Long-term care comprises all the health services that help patients with chronic illnesses or disabilities meet their medical and non-medical needs. It caters to those who cannot care for themselves for extended durations. For care providers, it becomes critical to meet the needs of patients on time while delivering top-notch quality, especially at a time when virtual care is more important than ever. To remedy this, many of the tasks and processes within long-term care are supported by digital solutions. These long-term care software applications enable care providers to automate aspects of patient scheduling, inventory control, regulation and compliance, data management, care delivery management, and much more. Some of the end users of long-term care software include home healthcare agencies, nursing homes, and residential hospice care facilities. What is Driving the Growth of Long-Term Care Solutions? Digitalization has swept the healthcare industry, and medical technology now occupies a significant area of medical care delivery. With the demand for a robust healthcare infrastructure aggravated by a shortage of medical professionals, the need for automation is driving the growth of medtech across all areas of healthcare. In addition, fewer medical specialists and medical cost reduction initiatives combined are powering the long-term care software market’s growth. Challenges for the Long-Term Care Software Market Despite the rapid growth in the use of digital solutions to manage administrative and compliance tasks, technological transformations are expensive. The high maintenance costs incurred by care providers are a major hindrance towards a full-fledged adoption. Many care providers are also unwilling to adopt new applications due to the implementation and staff training costs involved in doing so. What the Future Holds? With an increase in remote care and the use of technologies like the Internet of Medical Things to deliver diagnostic services and preventive care, medtech is witnessing a revolution. Long-term care is bound to follow suit thanks to areas like remote patient monitoring and wearable technology. While the long-term care market is slated to grow by leaps and bounds, solution makers must find a way to help care providers warm up to the use of technology and de

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Comprehensive Health Services

Founded in 1975, Comprehensive Health Services, Inc. is one of the nation’s largest and most experienced providers of workforce medical services. We partner with Fortune 1000 companies and the U.S. government to solve the highly complex, large-scale health care challenges they face by implementing and managing cost-effective, customized medical programs for large and dispersed workforces. Our technology-driven, flexible health care solutions are capable of providing tailored services to ensure employers can meet the medical needs and compliance issues of their employees anywhere in the world.

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Healthcare Analytics

Keystone Healthcare Partners Establishes Partnership with Trinity Medical to Expand Emergency Medicine Footprint into Louisiana

Keystone Healthcare Partners | February 05, 2024

Keystone Healthcare Partners a leading provider of emergency medicine, hospital medicine, critical care medicine, and telehealth staffing and management services, as well as revenue cycle management, recently announced that it has formed a partnership with Trinity Medical in Ferriday, Louisiana. Keystone's delivery of emergency medicine services at Trinity Medical will commence on February 1, 2024. This contract represents an exciting expansion of Keystone's regional influence into Louisiana; the company has managed contracts in Mississippi for decades. Glenn Adams, Keystone's CEO & Co-founder, notes, "We are excited to kick off another partnership with a client where we see opportunity for real impact. We've hit the ground running to shore up areas of frustration for the client and bring value-add and innovative solutions, such as Keystone Connect AI technology to the emergency medicine program." While the healthcare landscape has been challenging for rural and critical access hospitals, the two entities share a patient-centered ethos that will be paramount to the partnership. The two entities share a community- and patient-focus that is embodied by Trinity's motto, "People you know, caring for people you love." "We are very excited to start our partnership with Keystone Healthcare," states Keisha Smith, CEO of Trinity. "My goal for Trinity Medical has always been to provide our patients with the best healthcare and customer service possible in the Miss-Lou area. We feel that Keystone shares the same goals that we have and will be a true asset to our hospital. Henry Ford stated, 'Coming together is a beginning, staying together is progress, and working together is success.' We are looking forward to a long lasting, successful partnership with Keystone Healthcare." Trinity Medical, a 23-bed licensed facility, continues to grow and upgrade their services and facilities in addition to recruiting physicians to meet the growing needs of their expanding community. About Keystone Healthcare Keystone Healthcare™ is a leading provider of Emergency Medicine, Hospital Medicine, Critical Care Medicine and Telehealth clinical management services and staffing solutions for hospitals. We efficiently deliver high-quality, patient-centered care through strong physician leadership and involved management that drive our innovative and integrated business model. About Trinity Medical Trinity Medical is operated by Concordia Parish Hospital Service District No. 1. Trinity Medical, formerly Riverland Medical Center, opened in 1964 as Concordia Parish Hospital and has continuously served the residents of the area for more than 55 years. In addition to emergency and acute care, Trinity Medical offers surgical services, diagnostic imaging, infusion center, cardio-respiratory care, gastroenterology, lab services, otolaryngology, urology, and an in-hospital rehabilitation service as well as an extensive range of out-patient services, both diagnostic and for treatment.

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Digital Healthcare

UCI Health Reaches Definitive Agreement to Acquire Four Southern California Hospitals From Tenet Healthcare Corporation

UCI Health | February 02, 2024

The Regents of the University of California, on behalf of the University of California, Irvine, has entered into a definitive agreement with Tenet Healthcare Corporation to acquire Tenet's Pacific Coast Network. The network will become part of UCI Health, the clinical enterprise of UC Irvine. "UC Irvine has deepened its healthcare commitment to the future of Orange County, our region and California," said UC Irvine Chancellor Howard Gillman. "This journey in healthcare is deeply intertwined with the University of California's dedication to bettering our communities, expanding access to premier healthcare, and pioneering the medical innovations of tomorrow, today. Our vision will bridge gaps in regional care and reinforce UCI's place among the nation's leading academic health systems while advancing solutions to challenges facing healthcare." Pending customary regulatory approvals, clearances, and closing conditions, the proposed acquisition would bring four medical centers in Lakewood, Los Alamitos, Fountain Valley and Placentia and associated outpatient locations into the UCI Health system. UCI Health currently delivers care at UCI Medical Center in Orange and a growing network of multispecialty care centers. "At UCI Health, we are excited to add these new care sites to the UCI Health network and extend the benefits of our compassionate, high-level care, clinical innovation, and scientific discovery," said Chad Lefteris, president and chief executive officer of UCI Health. "As Orange County's only academic health system, UCI Health is unique in its ability to offer the highest level of advanced care powered by the research and innovation of a world-class public research institution." UCI Health recognizes a unique opportunity to build on the quality care already being delivered in the communities served by Tenet Healthcare's Pacific Coast Network. "These four hospitals are well-regarded in their communities for providing high-quality, compassionate care," said Saum Sutaria, M.D., chairman and chief executive officer of Tenet Healthcare. "The local communities will benefit from the nationally recognized advancements, medical knowledge, research, and community focus that UCI Health brings as an innovative academic health system. UCI Health recognizes a unique opportunity to build on the quality care already being delivered in the communities served by the Pacific Coast Network." In a region with a population greater than that of two dozen states, UCI Health operates the only Level I trauma center, locally based National Cancer Institute-designated comprehensive cancer center, high-risk perinatal-neonatal service and is the largest regional burn center and leading provider of complex tertiary and quaternary care. The system's clinical excellence has consistently placed UCI Health in the top 10 for quality and safety among the nation's leading comprehensive academic health systems. The acquisition also means more patients will have access to advanced therapies in the region's largest and most diverse portfolio of clinical trials, ranging from cancer to neurosciences, digestive diseases, orthopedics and internal medicine specialties. UCI Health and Tenet Healthcare's Pacific Coast Network patients can continue receiving care at their local facilities as they normally would from the care teams they know and trust. The transaction is expected to be completed in spring 2024, subject to customary regulatory approvals, clearances, and closing conditions. "It is a privilege to provide world-class care to Californians and we are excited to welcome the clinicians and co-workers from these Tenet Healthcare sites to UCI Health as partners in improving the health of local communities," Lefteris said. About UCI Health UCI Health is the clinical enterprise of the University of California, Irvine, and the only academic health system in Orange County. Patients can access UCI Health at primary and specialty care offices across Orange County and at its main campus, UCI Medical Center in Orange, Calif. The 459-bed, acute care hospital, listed among America's Best Hospitals by U.S. News & World Report for 23 consecutive years, provides tertiary and quaternary care, ambulatory and specialty medical clinics, behavioral health and rehabilitation services. UCI Medical Center is home to Orange County's only National Cancer Institute-designated comprehensive cancer center, high-risk perinatal/neonatal program and American College of Surgeons-verified Level I adult and Level II pediatric trauma center, gold level 1 geriatric emergency department and regional burn center. About UC Irvine About the University of California, Irvine: Founded in 1965, UCI is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UCI has more than 37,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide. About Tenet Healthcare Tenet Healthcare Corporation is a diversified healthcare services company headquartered in Dallas. Our care delivery network includes United Surgical Partners International, the largest ambulatory platform in the country, which operates or has ownership interests in more than 480 ambulatory surgery centers and surgical hospitals. We also operate 58 acute care and specialty hospitals, approximately 110 other outpatient facilities, a network of leading employed physicians and a global business center in Manila, Philippines. Our Conifer Health Solutions subsidiary provides revenue cycle management and value-based care services to hospitals, health systems, physician practices, employers, and other clients. Across the Tenet enterprise, we are united by our mission to deliver quality, compassionate care in the communities we serve.

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Health Technology

Beckman Coulter Unveils DxC 500 AU Chemistry Analyzer, Expanding Portfolio with Proven Six Sigma Performance

Beckman Coulter Diagnostics | January 30, 2024

Beckman Coulter Diagnostics, a clinical diagnostics leader, will unveil its new DxC 500 AU Chemistry Analyzer, an automated clinical chemistry analyzer, at Medlab Middle East in Dubai, taking place February 5-8, 2024. The DxC 500 AU Chemistry Analyzer is one of several recent Beckman Coulter solutions designed to address the complete needs of healthcare systems that are looking to complement central hub laboratories by advancing the technology and capabilities of satellite and independent hospital laboratories. "Healthcare systems around the world are strategically adopting hub-and-spoke models for better efficiency and healthcare access," said Kathleen Orland, Senior Vice President, Business Unit, General Manager, Chemistry and Immunoassay for Beckman Coulter Diagnostics. "Hub-and-spoke clinical laboratory models optimize resources to improve access to testing services and enhance overall standardization for quality testing and positive impact on inventory and cost management across a health system. The new DxC 500 AU Chemistry Analyzer advances capabilities of spoked labs with a broad menu of high-quality assays that deliver consistent, commutable results across Beckman Coulter's AU clinical chemistry systems, positively impacting clinical decision-making and patient outcomes." The DxC 500 AU Chemistry Analyzer features advanced automation technology, onboard guided workflows, and standardized reagents for use across healthcare networks. Its menu of more than 120 assays has been independently and objectively verified for high quality Six Sigma performance, supporting confidence in clinical results, reducing QC trouble shooting and lab operational costs. "Our Six Sigma assessment has shown that the DxC 500 AU analyzer easily exceeds the demands of the new, more stringent CLIA 2024 performance specifications," stated Sten Westgard, Director of Client Services and Technology for Westgard QC. The DxC 500 AU Chemistry Analyzer is for in vitro diagnostic use only. It is available throughout North America and the Middle East. Global commercial availability is planned for March 2024. About Beckman Coulter. Inc. A global leader in advanced diagnostics, Beckman Coulter has challenged convention to elevate the diagnostic laboratory's role in improving patient health for more than 80 years. Our mission is to Relentlessly Reimagine Healthcare, One Diagnosis at a Time – and we do this by applying the power of science, technology and the passion and creativity of our teams. Our diagnostic solutions are used in complex clinical testing, and are found in hospitals, reference laboratories and physician office settings around the globe. We exist to deliver smarter, faster diagnostic solutions that move the needle forward from what's now to what's next. We seek to accelerate care with an extensive clinical menu, scalable lab automation technologies, insightful clinical informatics, and optimize lab performance services. Headquartered in Brea, Calif., with more than 11,000 global team members, Beckman Coulter Diagnostics is proud to be part of Danaher. Danaher is a global science and technology leader. Together we combine our capabilities to accelerate the real-life impact of tomorrow's science and technology to improve human health. ©2024 Beckman Coulter. All rights reserved. Beckman Coulter, the stylized logo, and the Beckman Coulter product and service marks mentioned herein are trademarks or registered trademarks of Beckman Coulter, Inc. in the United States and other countries.

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Healthcare Analytics

Keystone Healthcare Partners Establishes Partnership with Trinity Medical to Expand Emergency Medicine Footprint into Louisiana

Keystone Healthcare Partners | February 05, 2024

Keystone Healthcare Partners a leading provider of emergency medicine, hospital medicine, critical care medicine, and telehealth staffing and management services, as well as revenue cycle management, recently announced that it has formed a partnership with Trinity Medical in Ferriday, Louisiana. Keystone's delivery of emergency medicine services at Trinity Medical will commence on February 1, 2024. This contract represents an exciting expansion of Keystone's regional influence into Louisiana; the company has managed contracts in Mississippi for decades. Glenn Adams, Keystone's CEO & Co-founder, notes, "We are excited to kick off another partnership with a client where we see opportunity for real impact. We've hit the ground running to shore up areas of frustration for the client and bring value-add and innovative solutions, such as Keystone Connect AI technology to the emergency medicine program." While the healthcare landscape has been challenging for rural and critical access hospitals, the two entities share a patient-centered ethos that will be paramount to the partnership. The two entities share a community- and patient-focus that is embodied by Trinity's motto, "People you know, caring for people you love." "We are very excited to start our partnership with Keystone Healthcare," states Keisha Smith, CEO of Trinity. "My goal for Trinity Medical has always been to provide our patients with the best healthcare and customer service possible in the Miss-Lou area. We feel that Keystone shares the same goals that we have and will be a true asset to our hospital. Henry Ford stated, 'Coming together is a beginning, staying together is progress, and working together is success.' We are looking forward to a long lasting, successful partnership with Keystone Healthcare." Trinity Medical, a 23-bed licensed facility, continues to grow and upgrade their services and facilities in addition to recruiting physicians to meet the growing needs of their expanding community. About Keystone Healthcare Keystone Healthcare™ is a leading provider of Emergency Medicine, Hospital Medicine, Critical Care Medicine and Telehealth clinical management services and staffing solutions for hospitals. We efficiently deliver high-quality, patient-centered care through strong physician leadership and involved management that drive our innovative and integrated business model. About Trinity Medical Trinity Medical is operated by Concordia Parish Hospital Service District No. 1. Trinity Medical, formerly Riverland Medical Center, opened in 1964 as Concordia Parish Hospital and has continuously served the residents of the area for more than 55 years. In addition to emergency and acute care, Trinity Medical offers surgical services, diagnostic imaging, infusion center, cardio-respiratory care, gastroenterology, lab services, otolaryngology, urology, and an in-hospital rehabilitation service as well as an extensive range of out-patient services, both diagnostic and for treatment.

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Digital Healthcare

UCI Health Reaches Definitive Agreement to Acquire Four Southern California Hospitals From Tenet Healthcare Corporation

UCI Health | February 02, 2024

The Regents of the University of California, on behalf of the University of California, Irvine, has entered into a definitive agreement with Tenet Healthcare Corporation to acquire Tenet's Pacific Coast Network. The network will become part of UCI Health, the clinical enterprise of UC Irvine. "UC Irvine has deepened its healthcare commitment to the future of Orange County, our region and California," said UC Irvine Chancellor Howard Gillman. "This journey in healthcare is deeply intertwined with the University of California's dedication to bettering our communities, expanding access to premier healthcare, and pioneering the medical innovations of tomorrow, today. Our vision will bridge gaps in regional care and reinforce UCI's place among the nation's leading academic health systems while advancing solutions to challenges facing healthcare." Pending customary regulatory approvals, clearances, and closing conditions, the proposed acquisition would bring four medical centers in Lakewood, Los Alamitos, Fountain Valley and Placentia and associated outpatient locations into the UCI Health system. UCI Health currently delivers care at UCI Medical Center in Orange and a growing network of multispecialty care centers. "At UCI Health, we are excited to add these new care sites to the UCI Health network and extend the benefits of our compassionate, high-level care, clinical innovation, and scientific discovery," said Chad Lefteris, president and chief executive officer of UCI Health. "As Orange County's only academic health system, UCI Health is unique in its ability to offer the highest level of advanced care powered by the research and innovation of a world-class public research institution." UCI Health recognizes a unique opportunity to build on the quality care already being delivered in the communities served by Tenet Healthcare's Pacific Coast Network. "These four hospitals are well-regarded in their communities for providing high-quality, compassionate care," said Saum Sutaria, M.D., chairman and chief executive officer of Tenet Healthcare. "The local communities will benefit from the nationally recognized advancements, medical knowledge, research, and community focus that UCI Health brings as an innovative academic health system. UCI Health recognizes a unique opportunity to build on the quality care already being delivered in the communities served by the Pacific Coast Network." In a region with a population greater than that of two dozen states, UCI Health operates the only Level I trauma center, locally based National Cancer Institute-designated comprehensive cancer center, high-risk perinatal-neonatal service and is the largest regional burn center and leading provider of complex tertiary and quaternary care. The system's clinical excellence has consistently placed UCI Health in the top 10 for quality and safety among the nation's leading comprehensive academic health systems. The acquisition also means more patients will have access to advanced therapies in the region's largest and most diverse portfolio of clinical trials, ranging from cancer to neurosciences, digestive diseases, orthopedics and internal medicine specialties. UCI Health and Tenet Healthcare's Pacific Coast Network patients can continue receiving care at their local facilities as they normally would from the care teams they know and trust. The transaction is expected to be completed in spring 2024, subject to customary regulatory approvals, clearances, and closing conditions. "It is a privilege to provide world-class care to Californians and we are excited to welcome the clinicians and co-workers from these Tenet Healthcare sites to UCI Health as partners in improving the health of local communities," Lefteris said. About UCI Health UCI Health is the clinical enterprise of the University of California, Irvine, and the only academic health system in Orange County. Patients can access UCI Health at primary and specialty care offices across Orange County and at its main campus, UCI Medical Center in Orange, Calif. The 459-bed, acute care hospital, listed among America's Best Hospitals by U.S. News & World Report for 23 consecutive years, provides tertiary and quaternary care, ambulatory and specialty medical clinics, behavioral health and rehabilitation services. UCI Medical Center is home to Orange County's only National Cancer Institute-designated comprehensive cancer center, high-risk perinatal/neonatal program and American College of Surgeons-verified Level I adult and Level II pediatric trauma center, gold level 1 geriatric emergency department and regional burn center. About UC Irvine About the University of California, Irvine: Founded in 1965, UCI is a member of the prestigious Association of American Universities and is ranked among the nation's top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UCI has more than 37,000 students and offers 224 degree programs. It's located in one of the world's safest and most economically vibrant communities and is Orange County's second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide. About Tenet Healthcare Tenet Healthcare Corporation is a diversified healthcare services company headquartered in Dallas. Our care delivery network includes United Surgical Partners International, the largest ambulatory platform in the country, which operates or has ownership interests in more than 480 ambulatory surgery centers and surgical hospitals. We also operate 58 acute care and specialty hospitals, approximately 110 other outpatient facilities, a network of leading employed physicians and a global business center in Manila, Philippines. Our Conifer Health Solutions subsidiary provides revenue cycle management and value-based care services to hospitals, health systems, physician practices, employers, and other clients. Across the Tenet enterprise, we are united by our mission to deliver quality, compassionate care in the communities we serve.

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Health Technology

Beckman Coulter Unveils DxC 500 AU Chemistry Analyzer, Expanding Portfolio with Proven Six Sigma Performance

Beckman Coulter Diagnostics | January 30, 2024

Beckman Coulter Diagnostics, a clinical diagnostics leader, will unveil its new DxC 500 AU Chemistry Analyzer, an automated clinical chemistry analyzer, at Medlab Middle East in Dubai, taking place February 5-8, 2024. The DxC 500 AU Chemistry Analyzer is one of several recent Beckman Coulter solutions designed to address the complete needs of healthcare systems that are looking to complement central hub laboratories by advancing the technology and capabilities of satellite and independent hospital laboratories. "Healthcare systems around the world are strategically adopting hub-and-spoke models for better efficiency and healthcare access," said Kathleen Orland, Senior Vice President, Business Unit, General Manager, Chemistry and Immunoassay for Beckman Coulter Diagnostics. "Hub-and-spoke clinical laboratory models optimize resources to improve access to testing services and enhance overall standardization for quality testing and positive impact on inventory and cost management across a health system. The new DxC 500 AU Chemistry Analyzer advances capabilities of spoked labs with a broad menu of high-quality assays that deliver consistent, commutable results across Beckman Coulter's AU clinical chemistry systems, positively impacting clinical decision-making and patient outcomes." The DxC 500 AU Chemistry Analyzer features advanced automation technology, onboard guided workflows, and standardized reagents for use across healthcare networks. Its menu of more than 120 assays has been independently and objectively verified for high quality Six Sigma performance, supporting confidence in clinical results, reducing QC trouble shooting and lab operational costs. "Our Six Sigma assessment has shown that the DxC 500 AU analyzer easily exceeds the demands of the new, more stringent CLIA 2024 performance specifications," stated Sten Westgard, Director of Client Services and Technology for Westgard QC. The DxC 500 AU Chemistry Analyzer is for in vitro diagnostic use only. It is available throughout North America and the Middle East. Global commercial availability is planned for March 2024. About Beckman Coulter. Inc. A global leader in advanced diagnostics, Beckman Coulter has challenged convention to elevate the diagnostic laboratory's role in improving patient health for more than 80 years. Our mission is to Relentlessly Reimagine Healthcare, One Diagnosis at a Time – and we do this by applying the power of science, technology and the passion and creativity of our teams. Our diagnostic solutions are used in complex clinical testing, and are found in hospitals, reference laboratories and physician office settings around the globe. We exist to deliver smarter, faster diagnostic solutions that move the needle forward from what's now to what's next. We seek to accelerate care with an extensive clinical menu, scalable lab automation technologies, insightful clinical informatics, and optimize lab performance services. Headquartered in Brea, Calif., with more than 11,000 global team members, Beckman Coulter Diagnostics is proud to be part of Danaher. Danaher is a global science and technology leader. Together we combine our capabilities to accelerate the real-life impact of tomorrow's science and technology to improve human health. ©2024 Beckman Coulter. All rights reserved. Beckman Coulter, the stylized logo, and the Beckman Coulter product and service marks mentioned herein are trademarks or registered trademarks of Beckman Coulter, Inc. in the United States and other countries.

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