Health Technology, Digital Healthcare
Article | August 16, 2023
Introduction
Healthcare supply chains are highly regulated, high-margin domains with stringent quality criteria, such as the demand for cold-chain storage and shipping. In addition, due to a lack of adequate understanding of the complicated rules governing healthcare products and services, medical aid providers are encountering inefficiencies while outsourcing capabilities to logistics service providers (LSPs).
In today's value-based care paradigm, healthcare leaders are tasked with improving patient outcomes while decreasing costs. With surging globalization, the growing cross-border nature of several medical products, and rising complexities in healthcare logistics, the need for building a robust supply chain is rapidly increasing across the healthcare industry.
Key Ways to Enhance Healthcare Supply Chain
A resilient supply chain plays a vital role in managing supplies, procuring resources, and shipping medical goods, among others, which assists in improving patient outcomes, enhancing service efficiency, and declining costs. Healthcare organizations are aiming to strengthen their supply chain to enjoy these benefits such as increased reimbursement, improved quality control, reduced inventory and overhead costs, and better collaboration with suppliers.
Here are some of the key ways to assist medical aid providers in building a strong healthcare supply chain
Develop effective inventory management
Manufacturers frequently encounter difficulties with timely inventory movement through their supply chains. Revenue is lost, and profit margins are harmed when products expire because they are not used adequately. This is why it is crucial to effectively manage the inventory process.
Hence, healthcare executives should deploy a high-quality equipment management system and increase collaboration between organizations, suppliers, and manufacturers to assist them in controlling inventory levels and effective inventory management.
Use technology and analytics to make operations run smoother
When it comes to supply chain management automation, the healthcare sector continues to lag behind other sectors. This is true for both the enterprise resource planning (ERP) functions and data analytics use for making decisions about forecasting and product choice.
Healthcare executives should make use of efficient technologies, such as solid analytics, in order to successfully improve a supply chain. Implementing data analytics and automation tools can assist in making healthcare supply chain management more efficient and effortless.
Widen and strengthen the supplier base
One of the most effective ways to build a robust healthcare supply chain is by increasing the number of suppliers and enhancing supplier base management.
Manufacturers and purchasers should abandon using single-or limited-source supply chains for raw materials and finished goods. This will assist healthcare companies in expanding their network of raw material suppliers and helps in careful consideration of which suppliers to use for procuring which resources.
Improve order accuracy and order cycle times to lower costs
Healthcare providers sometimes encounter a large number of errors during the ordering process. When incorrect products are ordered, the facilities face losses in revenue and are sometimes unable to deliver specific services due to the unavailability of products they need. Errors in placing orders can also result in medication errors. This can lead to a decrease in patient outcomes and negatively impact the company’s revenue growth.
To reduce the frequency of errors, these providers should deploy a computerized provider entry system. This will help improve order accuracy, increase supply chain efficiencies, and shorten turnaround times in healthcare ordering processes.
Consistently track and calibrate performance
Regardless of the size of the healthcare facility, it is of great importance for medical aid providers to carefully track and calibrate their performance frequently or on a specified timeline. This enables clinically integrated supply chains in healthcare to use key performance indicators (KPIs) to compare outcomes in terms of cost and quality and make decisions about products.
What’s Next?
The rising integration of novel disruptive technologies such as data analytics, the internet of things, artificial intelligence, and blockchain into healthcare supply chain management software is facilitating smooth operations, transparency, growth, and security across the life-science industry.
With a growing need for enhancing supply chains, healthcare providers are focusing on deploying advanced supply chain management solutions, such as healthcare logistics software, to strengthen their supply chains. As the trend continues to grow, the sales of healthcare supply chain management software and services are anticipated to rise from the US$2.2 billion registered in 2020 to US$3.3 billion by 2025.
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Healthtech Security
Article | August 31, 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.
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Health Technology
Article | September 12, 2023
What is Healthcare Digital Marketing
Digital marketing is a new wave in the world of healthcare marketing strategy. Using advanced technologies that use online marketing platforms such as websites, social media channels, and SEO techniques, to reach potential clients with healthcare products and services encompasses healthcare digital marketing.
Digital marketing in the healthcare sector makes it easier to create, communicate, and deliver health information and make interventions regarding protecting and promoting the health of diverse populations.
Strategies for Healthcare Digital Marketing
There are many trending healthcare digital marketing strategies you can use beneficially in healthcare, but here are the top 10 trending strategies that can help you ensure success:
Create a Wholesome Patient Experience on Your Website
As part of effective healthcare digital marketing for your services, crafting a patient-focused website will help to provide a seamless experience for visitors. While it is important to create a website that you can optimize for search engines, it is also crucial to simplify the process for first-time as well as repeat visitors. Use a conversational tone and features that allow easy navigation so that patients don’t feel like they are being bombarded with medical jargon.
Take a look at Mayo Clinic’s homepage. A patient's needs like online scheduling, specialist lookup, and contact information are easily available, while secondary information for those who would like to explore more before they make an appointment is below. This user-friendly healthcare digital marketing strategy will help you a lot in making visitors return to your website, and when they are looking for products and services.
Employ a Responsive Web Design
With more people leaving the confines of PCs to use the web easily and comfortably, ensuring that your website is responsive to various types of devices is paramount. This applies more to mobile devices because Google has introduced mobile-first indexing in September 2020.
Branding Matters
If you want to use healthcare digital marketing campaigns efficiently you have to identify what your organization as a brand can give patients. Even if it is healthcare, where target markets and organizational priorities are almost similar, patients need differentiating factors for each healthcare provider. If you don’t want a patient to be lost in the sea of white coats, figuring out what is special about what you can offer is crucial. Make sure your organizational goals and healthcare digital marketing goals are in sync to avoid unnecessary expenditure. Analyze your competition and let that assist you in shaping the path that your healthcare digital marketing strategy will take. You can often learn a lot from a competitor’s mistakes.
Provide Blog Content That Is Optimized for SEO
Symptom-related searches constitute 1% of all searches, that’s millions, on Google. Use this information to your benefit when planning your editorial calendar for blogs and include it efficiently in your healthcare digital marketing strategy. While you plan around national health observances, you can integrate long-tail keywords, provide links to reputed health sites and articles within your website, and invest in healthcare digital marketing plans. The four to five listings that show at the top of Google’s organic search results page are called the local pack—this part is vital for mobile users because it is all the screen can display before the user scrolls down. If you haven’t already, you should claim your healthcare website on Google My Business and keep it updated. Apart from this, healthcare digital content marketing plans need to be optimized for healthcare-specific SEO keywords.
Supplement Blogs with Video Content
With more algorithms prioritizing video content, you don’t want to be left behind without any good video content. In the healthcare industry, you have the added benefit of adding to your physician’s credibility if you create edutainment videos telling patients about their area of expertise. Healthcare video marketing can help you leverage the physicians in your organization that are authorities in their respective fields of medicine. Long and scary procedures being described by certified physicians is often reassuring for patients. Likewise, patient testimonials can pay this comforting reassurance forward, resulting in building a good reputation for your organization through similar healthcare digital marketing approaches.
Take Advantage of Paid Advertising
After you’ve created all this carefully crafted content that is optimized for SEO, you can’t just let it sit only on your website. Sometimes even if you maintain up-to-date business listings, Google’s local pack is overshadowed by paid ads. You have to promote it on search engines and social media platforms through pay-per-click (PPC), search, targeted, and display ads. Here you need a clear healthcare digital marketing strategy. Call-only campaigns and other ad extensions can be used to promote the services you offer as well.
Leverage Social Media
While organic social media campaigns are great, they can only get you so far. Using it as your only social media strategy can only give you subpar results compared to paid social campaigns. A paid social media plan is more than just clicking on ‘boost’, you have to create a strategy that suits your goals, targets the audience you need, and budgets for a specific ROI. You can create highly personalized campaigns without wasting your budget and reach the patients who are most likely to find your posts useful. It can be quite advantageous if you use healthcare social media marketing to your benefit while being tasteful in what you post. A healthcare care social media platform can be included in your healthcare digital marketing strategy.
Set up an Email Strategy
In healthcare, there are a few types of emails you can take advantage of, like reminders for appointments and annual physicals, seasonal tips for flu season, and announcements about new technology being used in your organization. Letting opportunities like these slip by is lost chances to keep patients engaged with your services and your patients also lose out on information that potentially could have been useful to them. Including a well-planned email marketing strategy as a part of your healthcare digital marketing plan will prevent patients from marking your email as spam and give you good open rates. Setting up free subscription-based newsletters as Johns Hopkins Medicine does allows you to prevent unnecessary unsubscribes as well.
Follow-up with Patient Reviews and Feedback
Word-of-mouth referrals have and always will be a part of marketing and healthcare digital marketing can help you evaluate the quality of the referrals you are getting. Patient success stories often inspire and evoke emotional responses from people, apart from serving as a way to show others the quality of the healthcare services you provide.
Track Your Healthcare Digital Marketing Strategies
After you’ve put all this effort into creating healthcare digital marketing strategies for email, social, and video you have to analyze where your budget is being spent the most, and whether it is reaping you the kind of benefits you are expecting. Understanding and capitalizing on patient micro-moments allows you to position your brand appropriately so that you are right there when they need your services. Measuring and studying your healthcare digital marketing conversion metrics is highly beneficial when it comes to using your resources to serve your needs best.
It doesn’t hurt to track all the mediums you’re using to communicate with patients including calls that are made to your front desk. Analyzing this data can help you understand the blockers that lie in the path between a patient and doctor. A laggy scheduling system, long call-hold times, and patient misinformation are just some of the revelations this analysis can bring to light.
Trends in Healthcare Digital Marketing
Healthcare digital marketing plans were almost non-existent, but they slowly developed to include traditional marketing like print, direct mail, television, and radio. The limitations of these media can now be overcome with healthcare digital marketing.
Doctor reviews, patient discussion forums, and physician certifications and availability are now an online search away for most patients. On-demand healthcare is becoming increasingly popular, and big data is playing a pivotal role in decreasing errors via patient record analyses and creating preventative plans for recurring emergency room patients.
The future even holds possibilities for telesurgeries, telemedicine continues to grow, and virtual patient treatment and other emerging technologies are changing the landscape of healthcare digital marketing. High-risk patients are being aided by heart rate sensors, oximeters, and exercise trackers paving the way for increased investment in medical devices that can be worn. These devices give people a sense of agency when it comes to their health while creating room for gamification and considerable changes in healthcare insurance. Even with all these innovative changes, for healthcare digital marketers, one aspect will remain primary and this is the patient.
Gone are the days when healthcare costs were affordable and patients were not proactive in researching which healthcare provider to choose. The modern patient has to be prudent in selecting the person responsible for improving their health, and it is your responsibility as a marketer to show them why your organization is the best. Stay updated with the latest healthcare digital marketing trends with webinars as the times are changing faster than ever.
Frequently Asked Questions
What is healthcare digital marketing?
Marketing healthcare products and services with the use of advanced digital technologies and techniques are called healthcare digital marketing. These techniques can be Google AdWords campaigns, responsive websites, SEO tactics, mobile apps, unique landing pages, social media campaigns, and email marketing programs, and much more.
Why is digital marketing important in healthcare?
Healthcare providers are facing challenges everywhere, especially in marketing their products and services. So, as technology is evolving, to stay competitive and continue improving the patient experience, the healthcare industry should invest in healthcare digital marketing strategies.
What is a healthcare marketing strategy?
Healthcare marketing strategies support and promote the practices of healthcare providers and telemedicine providers. Healthcare digital marketing strategy includes many channels and forms to target the right patients in the right way at the right time.
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Article | October 26, 2020
Everybody deals with stress and anxiety however our anxieties can sometimes get the best of us. It’s important to know how to cope with your anxieties and fears if they get out of control.
With this in mind, here are some tips that a person can use to help manage their daily stresses and anxieties.
1. Take a break: Sometimes, we get stressed out when everything happens all at once. When this happens, a person should take a deep breath and try to find something to do for a few minutes to get their mind off of the problem. A person could take a walk, listen to some music, read the newspaper, or do an activity that will give them a fresh perspective on things.
2. Carry a small notebook of positive statements with you: Whenever you come across an affirmation that makes you feel good, write it down in a small notebook and carry it around in your pocket. Whenever you feel anxious, open up your small notebook and read those statements.
3: You can’t predict the future: While the consequences of a particular fear may seem real, there are usually other factors that cannot be anticipated and can affect the results of any situation. We may be ninety-nine percent correct in predicting the future, but all it takes is for that one percent to make a world of difference.
4. Challenge your negative thinking with positive statements and realistic thinking: When encountering thoughts that make you fearful or depressed, challenge those thoughts by asking yourself questions that will maintain objectivity and common sense. Focus on the reality of your situation and not on your thoughts.
5. Divide your activities into separate steps: When facing a current or upcoming task that overwhelms you with a lot of anxiety, divide the task into a series of smaller steps and then complete each of the smaller tasks one step at a time. Completing these smaller activities will make the stress more manageable and increases your chances of success.
6. Take advantage of the help that is available around you: If possible, talk to a professional who can help you manage your depression and anxieties. They will be able to provide you with additional advice and insights on how to deal with your current problem.
BIOGRAPHY
Stan Popovich is the author of the popular managing fear book, “A Layman’s Guide To Managing Fear”. For more information about Stan’s book and to get some free mental health advice, please visit Stan’s website at http://www.managingfear.com
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