Top 5 Ways for Strengthening Healthcare Supply Chain

Health Technology, Digital Healthcare

Article | July 14, 2023

Explore the evolution of healthcare by diving deep into these EHR trends, as they pave the way for the future of EHR. Embrace cutting-edge solutions to enhance patient care and optimize operations. 1. Introduction 2. Significance of EHR Trends 3. Top 10 EHR Trends Shaping the Healthcare Industry 3.1 EHR Interoperability 3.2 Patient-reported Outcome 3.3 Patient Portals 3.4 Generative AI 3.5 Cloud-based EHR 3.6 Voice-enabled EHRs 3.7 Predictive Analytics 3.8 Robotic Process Automation 3.9 Telehealth-EHR Integration 3.10 Blockchain for EHR Data Integrity 4. Future Scope 1. Introduction Electronic health records (EHRs) have transformed the medical industry by revolutionizing how medical information is recorded, accessed, and utilized. This article focuses on the EHR trends and innovations that have reshaped the healthcare field, paving the way for a more efficient and patient-centric future.From enhanced interoperability to cutting-edge technologies, professionals can unravel the key trends propelling future of EHR toward a new era of healthcare delivery. 2. Significance of EHR Trends The importance of EHR software technology trends is highlighted by their transformative influence on the healthcare sector. This transformation was further expedited by the impact of the COVID-19 pandemic, which played a critical role in the increased adoption of telehealth services. As the pandemic necessitated alternatives to in-person visits, the demand for efficient and remote medical services surged, propelling telehealth to the forefront. Yet, looking beyond pandemic responses, the ongoing adoption of EHR trends in healthcare can significantly reshape how healthcare functions. Embracing these EHR trends enhances efficiency, facilitates personalized care, improves data exchange, drives data-driven insights, and empowers patient engagement. Irrespective of global events, it remains essential for healthcare facilities to stay abreast of these trends to remain adaptable and deliver optimized care, ultimately benefiting both providers and patients. 3. Top 10 EHR Trends Shaping the Healthcare Industry Recognizing significant industry trends becomes crucial in a field that is constantly subject to technological advancement and global change. From adopting advanced technologies to prioritizing sustainability and customer-centric approaches, these EHR trends hold the power to bring about significant transformations across the healthcare sector. 3.1 EHR Interoperability EMRs face a notable limitation in their ability to integrate with other systems, whereas EHRs offer robust interoperability, enabling seamless data exchange among healthcare facilities. As the demand for interoperability grows, the distinction between EMRs and EHRs becomes increasingly blurred, with vendors referring to products as EMRs that closely resemble what was initially known as EHRs. In response to this trend, developers and IT specialists continually update EHR systems to comply with interoperability policies, making EHRs more appealing for organizations seeking comprehensive and connected healthcare records. 3.2 Patient-reported Outcome Patient-reported outcome or PRO EHR integration involves incorporating patient-reported outcome measures into electronic health record systems. PROs gather information directly from patient records about their health status, symptoms, and quality of life. These insights provide valuable subjective data for healthcare providers. For orthopedic patients at the clinic, completing surveys on their smartphones via a mobile link is easy. Clinicians can access patient responses during or after appointments to offer tailored care recommendations based on survey readings. Access to patient-reported outcome data empowers clinicians to deliver patient-centered care, fostering greater patient involvement in their treatment journey. 3.3 Patient Portals Patient portals in EHRs are pivotal in modern healthcare practices as the industry embraces digital transformation. Patient portals within EHR systems are crucial to empowering individuals and facilitating communication between patients and healthcare professionals. These portals enable patients to access their personal health information securely. Patients can schedule appointments, ask questions, and even have virtual consultations, making healthcare more accessible and patient-centered. With improved communication and engagement, patient portals bridge the gap between individuals and healthcare professionals. 3.4 Generative AI Integrating generative AI tools with Electronic Health Record systems holds immense promise for advancing healthcare industry. Generative AI can significantly enhance EHR software precision and overall technology, resulting in streamlined daily workflows and enabling healthcare providers to prioritize patient care. By utilizing patterns and structures from existing data to create new content resembling the training data, generative AI brings valuable improvements to EHR systems. These benefits include efficiently filling in missing data, enhancing clinical decision support, automating documentation and coding processes, and ensuring billing accuracy, thereby alleviating the burden on healthcare providers. 3.5 Cloud-based EHR Cloud computing is gaining traction as medical organizations explore the benefits of outsourcing administrative and clinical services, including medical billing, reporting, lab integration, and more. With the increasing adoption of EHR systems, the advantages of easy access to patient data have become crucial. As the patient population continues to grow, the complexity of data rises, demanding solutions that ensure secure storage and accessibility. Embracing cloud-based infrastructure becomes imperative in this scenario, granting healthcare professionals the flexibility to access data using tablets or smartphones safely. This integration empowers clinicians to enhance their productivity in the clinical environment, laying the groundwork for long-term success by offering mobility solutions that cater to evolving healthcare demands. 3.6 Voice-enabled EHRs Integrating voice recognition technology with EHR systems is a significant advancement for clinicians. By allowing hands-free input of information and patient data, voice recognition technology reduces inaccuracies and speeds up information recording. Additionally, with the support of AI, EHRs equipped with voice recognition can assist doctors in recognizing historical patient trends and making accurate diagnoses. As companies strive to incorporate AI into EHRs through voice-enabled technology, physicians can effortlessly access patient data and inquire about specific health parameters, such as the last recorded iron levels from a blood test. This streamlined approach improves efficiency and enhances the overall healthcare experience and decision-making process. 3.7 Predictive Analytics Predictive analytics applications have become a significant driving force within the healthcare industry, yielding profound impacts on diverse areas, including cancer treatments and emergency staffing optimization. As the field continues to evolve, the adoption of predictive analytics technology is expected to expand further. Specialized healthcare app development services utilize AI-powered analytic methods, such as statistics, data mining, and modeling, in conjunction with AI capabilities to offer clinical outcome predictions based on real-time device data and electronic health records. This integration aims to elevate the patient experience and improve care delivery, equipping healthcare professionals with valuable insights to make more informed and proactive care decisions. 3.8 Robotic Process Automation Robotic Process Automation (RPA) is driving the expansion of the automated data capture market for electronic health records worldwide, owing to its ability to enhance workflows and ensure increased accuracy. By automating data capture through robot-based processes, RPA eliminates the need for manual data entry, leading to improved precision. In the healthcare industry, RPA serves as an effective technique to address EHR flaws without requiring a complete system redesign, permitting the utilization of digital labor to preserve efficient processes while resolving underlying issues. By employing system algorithms and programs, RPAs efficiently automate tasks typically carried out by human resources, accelerating the digitization of medical facilities and promptly addressing imperfections. 3.9 Telehealth-EHR Integration Integrating EHR systems with telehealth platforms revolutionizes healthcare by facilitating remote care and streamlining clinical workflows. This alliance will enable medical organizations to deliver high-quality patient care from a distance while ensuring the swift and secure transfer of patient information between systems and interfaces. The combined power of telehealth and EMR systems enhances virtual care activities, automates data entries, and synchronizes insurance information in a single window, thus optimizing efficiency and productivity for healthcare providers and their staff. Moreover, this integration strengthens patient-physician engagement and fosters seamless collaboration among healthcare teams. 3.10 Blockchain for EHR Data Integrity While blockchain technology gained prominence through its association with cryptocurrency, its application in healthcare is steadily gaining momentum. By utilizing cryptography, blockchain ensures the utmost security and integrity of EHR data, limiting access to authorized individuals only. In healthcare, blockchain brings value, from validating clinical trials and verifying claim results to monitoring medicine distribution, authenticating prescriptions, and combating insurance fraud. Additionally, smart contracts leverage blockchain to automate actions based on predetermined outcomes, reducing the need for extensive human involvement. Although the adoption of blockchain in healthcare technology is still in its early stages, several EHR systems have already incorporated it to enhance security, scalability, and confidentiality measures. 4. Future Scope The convergence of IoT devices and big data technology is set to revolutionize the healthcare experience, offering unprecedented digitization and patient engagement. The disruptions brought on by the COVID-19 pandemic have underscored the need for healthcare institutions to adapt and embrace technological advancements. Careful selection of the right EHR system is crucial for healthcare organizations, and a structured approach that involves key stakeholders, requirements definition, vendor evaluation, and implementation planning is essential for successful EHR implementations. The ultimate goal remains to enhance patient care, streamline workflows, and achieve operational efficiencies. While EHRs have already made significant strides in the industry, the future of electronic health records holds even more excellent benefits and technological impact, with healthcare mobile app developers playing a vital role in the value-based healthcare model and preparing for EHR optimization.

Health Technology, AI

Article | July 18, 2023

The recent COVID-19 pandemic in 2020 has changed the way the healthcare industry has been processing. It has transformed the healthcare sector digitally. Healthcare providers have changed services with the latest healthcare technology trends in digital and virtual platforms. Every healthcare provider is updating services by adopting digital advancements in their practices to increase their capacity to engage the maximum number of patients. Still more advancements and updates are needed to address many challenges in the industry such as cybersecurity, effective payment model, telehealth, patient experience, invoicing and payment processing, and big data. Last year, wearable devices in the healthcare industry were quite popular with the patients. These devices have helped patients be aware of various healthcare metrics. Due to the introduction of the 5G internet, the wearable devices market is expected to have huge scope in 2021. Healthcare technology trends, such as the use of a digital dashboard scheduler or chatbots as a digital assistant, help hospitals and other healthcare organizations to better track appointments, contacts, demography, and make changes more efficiently as these are practical measures for modifying and monitoring patient activities. Telemedicine, using video conferencing, digital monitoring, etc. have also been very helpful in containing the spread of the pandemic. It has made healthcare accessible for everyone, especially in rural areas. For remote patient care systems, telehealth and teleradiology reporting are very important technological upgrades. Healthcare technology trends of 2020, including patient portals, mobile health applications, remote care via telehealth, and wearable devices, played a major role in tackling the global pandemic situation. Artificial intelligence (AI), Machine Learning (ML), and Robotic Process Automation (RPA) also played a vital part in handling the situation. All the above-mentioned are COVID-19 fueled healthcare technology trends in 2020, which are expected to continue in coming years too. Here is a detailed look into the healthcare technology trends, which are expected to address the new challenges and revolutionize the healthcare industry in 2021. Technology Trends that will Revolutionize the Medical Industry in 2021 The digital transformation of the healthcare industry has been fast-forwarded by COVID-19 in 2020. Recognizing the healthcare technology trends, many healthcare providers have readily shifted their operations to the latest trending technologies. Others are also looking forward to setting their operations according to the upcoming trends. It seems like almost all the healthcare providers genuinely wanted to transform their operating system to engage the maximum number of patients, due to the healthcare technology trends set after the hardest crisis in the healthcare industry virtual reality healthcare. So, before planning your healthcare strategy for 2021, don’t miss to include these healthcare technology trends of 2021 to achieve better healthcare outcomes and stand one step ahead of your competitors. Patient Engagement Technology One of the most competitive healthcare technology trends in 2021 will be patient engagement technology. There are countless technologies available in the market for patient engagement, evaluation, and campaigning. Due to high competition in the market, these tools are priced competitively. Many healthcare organizations have started empowering themselves by achieving consistency in patient engagement with the help of available tools in the market. This also helps them achieve increased ROI. The healthcare technology trends, including remote care via telehealth, patient portals, wearable devices, mobile health applications, and many more, empower patients and increase patient engagement. Hospitals and other healthcare organizations need to improve patient experience along with engagement. The entire road to patient satisfaction and experience can be changed with these healthcare technology trends in 2021. Telemedicine As telemedicine revolutionized the entire healthcare technology in 2020 by playing a vital role in containing the COVID-19 pandemic, it is expected to be one of the healthcare technology trends in 2021 too. Using the advancement, it possible for healthcare professionals to diagnose and treat any number of patients remotely through phone calls, mobile apps, emails, and even through video calls. Telemedicine can provide patients with better access to all healthcare services, drive up efficiency and revenue, and lower healthcare costs. Augmented Reality (AR) and Virtual Reality (VR) The arrival of both AR and VR solutions has made way to witness meaningful advancements in the healthcare industry and technology. Advancements that could only be dreamt of a decade back, have become realities and been implemented. These two healthcare technology trends offer some serious promise to the world of healthcare, including educating patients before a treatment procedure. AR offers one of the latest and most spontaneous options in the healthcare industry. AR allows doctors and surgeons to experience 3D effects on real-world scenes. This healthcare technology trend permits the professionals to stay grounded on actual procedures with access to all the data through various other emerging technologies. This makes doctors compare data, in the virtual world, to understand what the patient is experiencing and make a flawless diagnosis and suggest healthcare procedures. Chatbots It is either impossible or expensive for patients to get answers from specialists for their routine queries. But, chatbots make it easier and comfortable for healthcare service providers to answer questions of patients cost-effectively. Though chatbots are currently in the experimental phase to be used in healthcare solutions, they are most likely to have the necessary access to clinical scenarios by the beginning of 2021. It is expected to be one of the progressive healthcare technology trends in 2021. As a digital assistant, chatbots allow healthcare providers to keep a track of contacts and appointments and make changes, when necessary. Chatbots are going to revolutionize the clinical processes and business, providing practical as well as clear measures for modifying and monitoring patient activities. Big Data and 5G 5G is about to sweep the world in the coming months. With the extraordinary intensification in transmission bandwidth of 5G, users will construct a huge amount of data. With 5G, the Internet of Things (IoT) will be used largely to send and receive data. In the next three years, the global wearables market is expected to reach an annual turnover of US$52 billion. This can be attributed to the introduction of 5G wireless technology, one of the healthcare technology trends. Healthcare providers will have the access to a huge amount of accurate data when data from wearable devices and other initiatives are added together. This is going to change the way providers collect data and the way doctors and patients communicate. Thus, while you plan to upgrade your healthcare technology for 2021, don’t forget that you will be receiving a huge amount of data from patients, which can be attributed to one of the important healthcare technology trends of 2021, big data and 5G. Artificial Intelligence Artificial Intelligence (AI), one of the prominent healthcare technology trends of 2021, is developed to mimic human thought processes. GNS Healthcare AI system and IBM Watson are some of the most popular examples for the active use of AI in the healthcare process. This trend is going to rule healthcare processes and revolutionize medical care in 2021. To improve healthcare professionals’ and hospitals’ care delivery to patients, Google’s DeepMind has built mobile apps and AI. The AI healthcare market is expected to reach US$7988.8 million in 2022 from US$667.1 million in 2016. This healthcare technology trend is expected to take the healthcare industry to a new realm by increasing patient engagement and experience in 2021. Cloud Computing Cloud computing is one of the major healthcare technology trends in 2021 that is going to change the industry. Attributed to the recent development of various healthcare technology trends, the cloud computing market is expected to reach US$35 billion in 2022 from US$20.2 billion in 2017. This tremendous growth is attributed to the need of storing a high volume of data for healthcare organizations at a lower cost. In the healthcare domain, the main use of big data is in Electronic Health Record systems (EHR). It allows secure storage of various digital documentation such as demographics, medical history, diagnoses, and laboratory results. Cloud computing, an important healthcare technology trend, is expected to make the healthcare process smooth and flawless in 2021. The biggest trend of 2021 in the healthcare industry is the holistic technological transformation of healthcare firms. Whether AI, ML, RPA, telemedicine, big data, chatbots, or cloud computing, almost everything related to data management and monitoring will peak in 2021. These healthcare technology trends will rule healthcare in 2021. Moreover, targeted and personalized care for critical diseases is expected to be another trend in the coming years. Frequently Asked Questions What are the technology trends in healthcare? Trending healthcare technologies are AI, ML, RPA, cloud computing, big data, chatbots, telemedicine, etc. AI, the life-changing technology is going to completely transform the healthcare industry in the coming years starting from 2021. What are the most important trends in healthcare technology? Augmented and virtual reality, Artificial Intelligence, the Internet of Medical Things, Machine Learning, chatbots, cloud computing, telemedicine, etc. are the most important technology trends in the healthcare industry. What are the current technological trends in healthcare? Artificial Intelligence (AI) and Machine Learning (ML), Internet of Medical Things (IoMT), Augmented Reality (AR) and Virtual Reality (VR), Electronic Health Records (EHR), Blockchain and data security, health-tracking apps, therapeutic apps, and telehealth are the major current technological trends in the healthcare industry.

Health Technology, Medical Devices

Article | May 22, 2023

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.

Article | February 4, 2021

It is not an easy task to engage decision-makers in hospitals, insurance providers, health systems, and private practices. These high-powered directors, managers, and executives are busier than ever. This makes the process of health tech marketing difficult. Apart from overwhelming job responsibilities, these healthcare professionals are also inundated with ads, emails, and phone calls. So rather than sending them messages randomly, it is important to help your prospects when they are free from their daily disruptions and have time. Inbound marketing, a new form of marketing, lays out various effective healthcare marketing techniques, tricks, or tactics. These health tech marketing techniques or methodologies are helpful in the three stages of your health tech client journey: Awareness Stage: This is the stage where they do not know they have a problem, but you make them aware of the fact that they have a problem. Consideration Stage: In this stage, they are aware that they have a problem and consider finding a solution from you or your competitor. Decision Stage: This is the final stage, where prospects make a decision. Here are some effective health tech marketing techniques to engage new health tech marketing prospects online all through these stages. Offer Entertaining and Informative Blog Content Content is king. Roper Public Affairs, in their research report, say that around 80% of B2B decision-makers prefer to gather information from articles and blogs over ads. According to the research done by HubSpot, companies that publish blogs frequently get 4.5x more leads. Engage your health tech prospects with regular content that can address their interests and the problems they face. However, it is a mistake to focus only on your health tech company’s benefits, features, or sales pitches in your blogs. This may make your prospects think you are just after their money. One of the best health tech marketing techniques to engage your prospects online is to provide answers to the challenges they face. You can even ask and encourage your clients to contribute success stories or guest posts. These posts will have more value and the chances of them being shared are high. It is also better to create a strategy to make sure the health tech marketing content you make is valuable and relevant to your potential clients. Encourage Social Media Feedback and Blog Comments Providing great and prospect oriented health tech marketing content is just the beginning. You can solicit reactions from your audience. Asking questions at the end of blogs and social media health tech messages is a great way to collect reactions from the audience. It is good to thank them for responding when they leave a comment. Also, give them a comprehensive answer. This will help build your credibility and make the clients come back. Sometimes, you may get spam comments, which are not connected to your post. Weed them out to make all comments relevant to the post. This health tech marketing technique will make your potential clients stay engaged in what you post online. Host Google Hangouts or Webinars People love being visually engaged. So, webinars or Google Hangouts are powerful tools that allow real-time interaction with your customers. This helps you to establish a personal connection with your potential clients through video or audio. Various visual aspects, including slides, graphics, and live videos, make it easier for you to share your content with customers. Being an interactive health tech marketing technique, at the end of webinar sessions or Google hangout, you can have a Q and A session to clarify any questions from the clients. Compared to merely writing blog posts and articles, this, as a two-way dialogue, and will help you a lot in building a strong relationship with your clients. Create a Group or Community One of the best health tech marketing techniques to engage new customers is to interact in online forums and communities. Your buyers can get added to your members-only group automatically and then these members can socialize with each other and discuss healthcare technology. These forums can be used to share content that is not available to the public. To the members, you can also offer various discounts and special pricing. Your customers, being part of such a group, will feel special and increase the possibility of a repeat purchase. Co-Create with Existing Customers If you are planning to write an e-book, improve your website, or launch a new product, involve your existing customers by getting suggestions from them. For fostering loyalty, depending on the situation, it is very effective to make your customers involved in major decision-making processes. They will feel proud that they participated, at the end of the process. This health tech marketing technique may even allow you to hold a contest to select an idea from your customers for your next design and offer rewards for the one which is selected. Rewards can be a special mention on your website, a discount, or a freebie. Celebrate Together! Another great health-tech marketing technique to build stronger relationships with your customers is to celebrate milestones with them. Any achievement, small or big, can be a milestone. Even, achieving an award for attaining a certain number of followers can be a milestone. Sharing such moments of success with your customers and social media followers may make them feel like they are part of your business and success. It is also a good idea to give them a discount offer. Also, recognizing the success of your clients and featuring them will establish a good relationship with customers. Monitor Social Media The best place to engage your clients in conversations about your products and industry is social media. Selecting a topic that is trending in your industry may be a hot cake for you to have the conversation on your social media platforms. Tracking trending topics related to your industry will always give you an insight for your next blog post and social media posts. By sharing, liking, and providing answers you can also take part in conversations. This will make you an authority and customers will feel good about your credibility. As a health tech marketing technique, monitoring social media will make you gain the trust of the customers and build your brand gradually but successfully. Build a List of Leads and Nurture them Email marketing, as a health tech marketing technique, is a very effective strategy to nurture B2B customer relationships. According to HubSpot, for business communication, 86% of people prefer emails. You will be in the minds of potential customers through your value-packed and attractive emails. They will remember you when they identify a requirement. Through your emails, you can update and educate your potential customers about relevant topics and trends related to the health tech industry. A newsletter in a week will be fair enough to keep them engaged and updated about your brand and industry. Summing up The key to generating more qualified leads and increasing your brand recognition is engaging new prospects tough new and innovative health tech marketing techniques. This will make your sales team’s job easier; they can convert these leads into customers. The above-listed health tech marketing techniques to engage with your prospects can be effectively used with your well-crafted Inbound marketing strategy. Doing all of these alone can be very challenging. We, at Media7, partner with healthcare technology companies and healthcare tech marketers to offer support, strategy, and extending help to implement these activities. Through the collaboration, we help health tech companies to attract more visitors to their websites, generate leads, convert, and make them your happy customers. For more details of our services, visit our website: https://media7.com/ Frequently Asked Questions What is a health tech marketing strategy? Health tech marketing strategy is a part of an inbound marketing process for marketing healthcare tech products. It uses resources that can trace various opportunities through lead generation and branding, and overcome threats of healthcare businesses, which is highly competitive. What is the best health tech marketing technique? The best health tech marketing technique is to generate leads through various content forms. Health tech Content marketing helps create awareness about the product and attract clients to it. Different forms of content can include blogs, articles, press releases, newsletters, and much more. Where to start when creating your healthcare marketing strategy The best way to start when creating your healthcare marketing strategy is to set your goals. This is because the success of your healthcare marketing strategy depends upon the goal you set for yourself when you start the business and the marketing for it.