Health Technology, Digital Healthcare
Article | August 16, 2023
The healthcare industry is witnessing an unparalleled phase of expansion and vitality. It is a phase of radical revolution due to the wake of digital transformation. Digital transformation has opened up enormous unique opportunities that were unimaginable until a few years back.
These digital trends are bringing companies and individuals together. Data is the starting point of the digital revolution. These data are then transformed into relationships. Today, including healthcare companies, the success of every company is at stake. In other words, it is how you communicate with customers that matters.
This blog is all about healthcare digital communication, especially healthcare video marketing.
We’ll start by looking at data that demonstrates the power and effectiveness of the video marketing medium. There is nothing equal to the power and efficacy of video marketing in our world today. Then, we’ll look at the video marketing best strategies, healthcare video marketing best practices, and successful examples for healthcare video marketing.
There’s Nothing More Effective than Video Marketing
Here are some numbers that alone demonstrate why video is the most effective marketing medium in the digital age:
More than 5 billion videos are viewed on Youtube every day;
78% of online users watch at least one video every week. And 55% watch one every day;
According to estimates by Cisco, by 2022, 82% of all internet traffic will be generated by video. This percentage was already 72.3% in 2017;
When it comes to video, 55% of people pay more attention than any other type of content;
when viewing a video, the average user retains 95% of the message it contains; this percentage goes down to 10% when we talk about the text;
about 100 million hours of video watched every day on Facebook;
82% of registered Twitter users consume video content constantly;
on Instagram, posts containing video record 38% higher engagement on average than posts containing images;
54% of consumers say they want to see more videos from the brands they follow and support.
Such statistics are compelling for brands, and brands are taking notice. As a result, brands are moving to implement videos as much as possible in their marketing strategies, with excellent results. Two statistics below offer additional proof:
87% of marketing professionals use video in their strategy.
88% of marketers are satisfied with the ROI generated by video marketing campaigns.
This collection of data proves one thing: video is the most effective tool for healthcare digital marketing. And this also applies to the Healthcare sector. It’s even more accurate for this sector, which is intimately involved with consumers as part of their daily lives. Thus, healthcare video marketing is much effective and should be included in your healthcare marketing plan.
Strategies and Best Practices of Healthcare Video Marketing
So, let’s take a closer look at how we can build a video marketing strategy in the Healthcare sector, the fundamental points that must be included, the best practices, and some examples of success.
Start from education
It is often said that we live in the information age. Today, as never before, we have access to all the information we could need in just a few seconds, maybe with just a few taps on our smartphone during a coffee break. Health information is undoubtedly among the most sought-after online. In Italy alone, web searches made on this topic are 4 billion per year, a constantly growing trend.
The downside of all of this is the difficulty of finding your way around this mass of information, which is sometimes complex, misleading, or even untrue. That is why the first task of a company in the Healthcare sector is education. Education is not just a responsibility; and it’s also an opportunity.
In this sense, healthcare videos marketing prove to be the best ally. Healthcare video marketing is a way to provide the consumer with an effortless way to have access to transparent, precise, and authoritative information from your brand. That can be the first step toward establishing a relationship of trust with your brand.
Be clear, but also calm
In this case, let’s start immediately with an exciting and practical example. Targeted toward their younger patients, Miami Children’s Hospital created a healthcare video marketing campaign that explains what happens before, during, and after heart surgery. Understandably, this is a sensitive topic. With this effort of healthcare video marketing, the Miami Children’s Hospital manages to achieve the complex objective of providing clear and authoritative information while at the same time reassuring the viewer.
How?
They make the healthcare video marketing campaign compelling, authoritative, and reassuring by showing the faces of its staff members, demonstrating their professionalism, the environment, the healthcare technologies used, and everything related to the surgery. In this way, the high level of preparation and humanity of the people involved stand out to the viewer.
Learn to be engaging
As we saw above, you have to know how to correctly inform and educate your audience using influential healthcare video marketing trends, all with a calm demeanor. However, it’s also true that success also depends on your ability to excite and involve the viewer for healthcare video marketing in the sector. In short, the keyword is ‘storytelling.
An excellent example is the healthcare video marketing campaign carried out by the dental health department of Bupa UK and addressed to children (but applicable and reachable to adults as well). Through a great use of animations and storytelling, the brand uses the well-known story of the tooth fairy and associates it with childhood memories. This healthcare video marketing campaign has proven to be an excellent vehicle for establishing a truly intimate relationship with the viewer (and, not surprisingly, the video has exceeded 1.3 million views on YouTube).
Another effective way to be direct and engaging is to use influencers in your healthcare video marketing campaigns. An exciting example is the Australian pole vaulter, Amanda Bisk, diagnosed with chronic fatigue syndrome. On her Instagram channel, Bisk talks about her path to fight the disease through fitness, and she has quickly become one of the most famous figures in Healthcare on the platform.
It’s important to note that today, more and more brands target top influencers and micro-influencers. Micro-influencers have a much smaller yet targeted and loyal following of fans. Therefore, their healthcare video marketing messages are perceived by the public as more authentic and personal.
Personalization
94% of marketers believe that personalization is crucial for the future of the business in which it moves. But what do we mean when we talk about personalization?
First of all, it’s not something new: knowing your audience has always been the best way to make a profit, calibrate your communication and your “tone of voice,” and increase engagement and loyalty. But what is the turning point of personalization today?
It is a digital turning point. Today, we all leave traces online at every moment: geolocation, Google searches, preferences on social networks, apps (which in Healthcare are increasingly widespread), and so on. We are talking about a vast amount of data that benefits both companies and consumers from a win-win perspective.
Therefore, it’s a matter of utilizing efficient systems to collect this data, dynamic systems designed with an omnichannel approach in mind. From the collection, the next step is to analyze and interpret this information. Then, you will want to divide your audience into many micro-targets with homogeneous and consistent characteristics to target with tailored communications and offers.
In conclusion, these facts are all the more true in a sector like healthcare that impacts people’s daily lives. The best healthcare video marketing strategy for brands can only be to get closer and closer to customers. That is precisely where specialized companies like us, Media7, come into play. Through compelling B2B healthcare video marketing efforts, we create opportunities for interaction and the possibility to insert custom calls to action.
FREQUENTLY ASKED QUESTIONS
What is a video marketing strategy?
Video marketing strategy is creating, curating, and utilizing videos for marketing products and services of companies to the targeted audience. Marketing teams design the strategy. The idea behind the strategy is to keep the audience engaged with the brand.
Are videos effective for health tech marketing?
Videos are much effective for health tech marketing as people prefer to watch things than reading. Also, people are likely to trust what they see than reading. Videos are the highly impactful medium of marketing for any domain of business, including healthcare.
How to start with healthcare video marketing?
The first step to healthcare video marketing is to define your video marketing strategy. Fix and analyze the target audience to understand the online behavior trends to get an idea about their video engagements and clicks on various social media channels.
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Health Technology, AI
Article | July 18, 2023
The pandemic-fueled technology adoption has enabled the healthcare industry to address the challenges, including cybersecurity, telehealth, invoicing and payment processing, patient experience, effective payment model, and big data. The responses to the unusual COVID-19 pandemic has sped up the adoption of new digital technologies in the industry. It has also fueled advancements in health technology. From the start of 2020, these advancements transformed the healthcare industry into a next-gen one by accelerating digitization of their internal and external operations by two to three years.
This surprising impact of technology in the healthcare industry has brought out unexpected competition between the key players in the B2B healthcare market. Whatever the field, adapting yourself to modern changes is the best strategy to thrive. Get yourself updated according to the changes or get yourself outdated is the new norm in the healthcare industry.
The following trends and advancements in technology in the healthcare industry due to the pandemic in 2020 show that healthcare providers are always searching for new ways to improve their productivity, performance, and efficiency. These were the need of the hour during the pandemic, for them to surge ahead of their competitors.
• Telemedicine
• Artificial Intelligence (AI) in healthcare
• The Internet of Medical Things (IoMT)
• Supply chain management technology
• Privacy issues
• AR/VR/MR in Healthcare
• Blockchain
• Digital marketing trends in healthcare
This article looks into the major innovations, advancements, and trends brought out by the global pandemic in 2020 in the healthcare industry.
Pandemic-fueled Advancements
One of the biggest challenges faced by the healthcare industry in the US today is its digital capacity to effectively engage consumers and make them stay healthy. This can include helping people to prevent getting infected by various diseases such as COVID-19 and effectively managing various other chronic conditions. This is where technology in the healthcare industry has a major role to play.
Due to the latest advancements in technology, the healthcare industry was already evolving but the COVID-19 pandemic accelerated this transformation dramatically. McKinsey reports that US$250 billion was spent on technology in the US healthcare industry to shift the industry into a virtual care model in the wake of the pandemic. Also, a study by FAIR Health, a non-profit group, says the increase in telehealth claims in the US is 4,000% in 2020.
Here’s a detailed look into the above-mentioned advancements, innovations or trends brought out by the pandemic in the industry.
Telemedicine
Had the world ever thought that it would be possible one day for doctors to remotely examine the health of patients via a smartphone or a computer? Telemedicine, a new trend in technology in the healthcare industry, addresses many challenges in the industry. Improved technology in the industry has made telemedicine easier, even for people, who are not computer savvy. Telehealth services are now provided through different telemedicine apps.
In the light of the pandemic, rather than in-person visits, 43.5% of primary medical visits were done using telehealth methods in April 2020 in the US. The major benefit of telemedicine is that it reduces contact between healthcare workers, patients, and other patients. This reduces the chances of the spread of infectious diseases.
Reports say that 71% of Americans considered telemedicine useful at the beginning of the pandemic. This trend is expected to continue in the coming years too. With the pandemic, telemedicine saw an immediate boom compared to previous years. This boom in telehealth is projected to break US$185.6 billion by 2026.
Artificial Intelligence (AI) in healthcare
Artificial intelligence, a new trend and advancement in technology in the healthcare industry, had a critical role in fighting the pandemic. AI played a major role in areas such as pandemic detection, vaccine development, facial recognition with masks, thermal screening, and analyzing CT scans. AI is becoming the new operating technology in the healthcare industry.
Major AI healthcare applications
Healthcare providers will benefit a lot from AI-driven tools as AI technology in the healthcare industry has become a transformational force. Machine learning algorithms and software in AI will revolutionize the use of technology in the healthcare industry and the science of healthcare in the coming years too. AI will unify machines and humans through the brain. Some of the AI technologies in the healthcare industry, which are very relevant, are machine learning, natural language processing (NLP), rule-based expert systems, physical robots, diagnostic and treatment, patient engagement and adherence, and administrative applications.
Benefits of AI in healthcare and statistics
AI addresses many challenges that present technology in the healthcare industry cannot tackle. Better data-driven decisions, increased disease diagnosis efficiency, reduced treatment time, easy integration of information, reduced costs, increased patient satisfaction, fewer errors, and easier payment options are some of the benefits AI-assisted technology in the healthcare industry can provide.
According to an analysis by Accenture, by 2026, clinical AI health applications are expected to create approximately US$150 billion for the US healthcare economy as annual savings. Also, the US AI health market is expected to reach around US$6.6 billion by 2021.
The Internet of Medical Things (IoMT)
Nowadays, medical interactions involve some sort of equipment or device; it can be a glucose monitor, blood pressure monitor, or even an MRI scanner. It may not be a surprise now that, according to a 2020 Deloitte report, the available number of medical technologies are around 50,000. The internet-connected devices, which are known as IoMT tools, are transforming the healthcare and technology in the healthcare industry.
What Is IoMT?
The connected infrastructure of software applications, medical devices, and health systems and services are the IoMT. This has emerged by combining IoT development with telehealth technologies and telemedicine.
Potential of IoMT in healthcare and statistics
Lower costs for care, fewer mistakes, and more accurate diagnosis are the potential capabilities of IoMT. IoMT paired with various smartphone applications allows patients to send information regarding their health to doctors and get treated for diseases. This type of technology-driven healthcare not only improves patient experiences but also reduces the cost. IoMT, the new trend in technology in the healthcare industry, also has a positive effect on drug management.
According to Goldman Sachs, IoMT will save US$300 billion annually in the healthcare industry. AllTheResearch expects that the global IoMT market value will reach US$254.2 billion from US$44.5 billion in 2018.
Supply chain management technology in the healthcare industry
Utilizing advanced supply chain management technology in the healthcare industry enables healthcare providers to reach the right patients with the right product at the right time. Digitalized supply chain management also makes healthcare organizations improve provider-patient connectedness, data flow and analytics, regulatory compliance, and asset tracking.
A range of challenges faced by healthcare providers prompts you to digitalize supply chain networks, using the latest technologies in the healthcare industry. Advanced supply chain management technology will help you optimize costs, reduce unnecessary variation due to error and variability, enhance patient care, engagement, and delivery, and address new value-creation priorities.
According to reports from market researchers, global healthcare supply chain management technology is expected to reach US$3.3 billion in 2025 from US$2.2 billion in 2020.
Privacy issues
Privacy is a serious concern in technology in the healthcare industry, especially because of HIPAA compliance in 2020. Although data and information of patients can be efficiently stored and retrieved through cloud computing, complying with the strict electronic Protected Health Information (ePHI) is difficult.
While electronic health records and sensor networks, and advancements in other technologies in the healthcare industry will surely improve the quality of healthcare by reducing medical errors and costs, associated security and privacy are challenges to be addressed. Journal of the American Medical Informatics Association estimated that stolen or lost PHI may cost the US healthcare industry approximately US$7 billion annually.
To solve these issues, hospitals, and other healthcare providers have to stop using outdated technology and adopt state-of-the-art technologies without violating HIPAA. Encryption technology in the healthcare industry is the best option and healthcare providers should start using it to ensure the privacy of patients.
AR, VR, and MR in Healthcare
Virtual (VR) and augmented reality (AR) are important technologies in the healthcare industry to enhance and ensure the quality of telemedicine, especially during the period of the pandemic. The pandemic has made these technologies more popular and the trend is expected to continue in the future too. Both of these technologies in the healthcare industry are used to enhance patient and provider visits and even to educate medical students.
AR and VR also have the potential to help stroke victims overcome deficiencies, assist in robotic surgeries, educate patients before surgeries, facilitate easy surgical planning, help patients with PTSD, and reduce anxiety in children during a painful procedure or blood tests. Mixed reality (MR) is the mixed use of both VR and MR in a patient’s healthcare process and is also gaining popularity.
Blockchain
Blockchain is a trend which is expected to revolutionize technology in the healthcare industry. Using blockchain or digital ledgers will enable you to securely distribute transaction records to patients with improved data security. Along with other trends such as cloud computing and IoMT, blockchain also offers portability, accessibility, and high security. One of the greatest benefits of blockchain technology in the healthcare industry is interoperability.
As blockchain provides full visibility through a digital ledger, it improves integrity and transparency. Blockchain technology in the healthcare industry is beneficial to handle clinical study information, patient wearable data, and patient records.
Scope of blockchain technology in the healthcare industry
Various statistics on blockchain technology in the healthcare industry expect a wide scope for this technology. The global blockchain technology market in the healthcare industry is projected to cross US500 million by 2022.
Digital marketing trends in healthcare
Digital marketing technology in the healthcare industry has been revolutionized as new trends were set by the pandemic in 2020. As the world shrunk to online mode during the pandemic period, the following healthcare digital marketing trends emerged.
Content marketing
The smartest way to attract new patients to your service is content marketing and educational content. 2020 is the time where the content truly emerged as king. Educational content is vital in the healthcare space because everyone always tries to learn new things. It can be a trick or tips about the latest technological advancements, general industry news, or new diagnostic options.
Mobile responsive websites
Another important digital marketing technology in the healthcare industry is making an attractive website, which also must be mobile responsive. In this modern world of technology, everyone wants to access every facility at their fingertips. So, if your website is not mobile responsive, you won’t get traffic to your website easily.
Along with these two trending digital marketing technologies in the healthcare industry, some of the other trends are:
• Video marketing
• Multichannel initiatives and customer touchpoints
• Online reputation
• Powerful presence on social media channels
• Location-based SEO
The essential trends and advancements in technology in the healthcare industry depicting the future of healthcare are machine learning, artificial intelligence, and data science along with a focus on effective healthcare digital marketing technology and strategy. The pandemic fueled B2B healthcare technology will make the industry evolve every year and go on resolving new challenges that arise.
Frequently Asked Questions
Why is technology important to the healthcare industry?
Integrating technology with healthcare industry will improve quality of life. Also, the use of digital technology in the healthcare industry will increase efficiency, quality, and patient experience.
What is new technology in healthcare?
Due to the COVID-19 pandemic, many trending technologies are used in healthcare. The new technologies in the healthcare industries are AI, blockchain, chatbots, voice search, and virtual reality.
What are the negative impacts of medical technology?
Medical technology can have some negative impacts on patients such as impersonal or minimized care, negative health effects, increased patient costs, inappropriate use, and invasion of privacy.
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Health Technology, Digital Healthcare
Article | August 21, 2023
Yes, empathy has become a fad.
Connecting to another human is actually something cool kids do now. If a brand doesn’t have an impact model that includes a practical social issue, consumers tend to not take that brand seriously. In this case, empathy needs to be revisited beyond the trend itself for these strategies to have real, lasting impact.
Practical strategies around compassion meanwhile have similarly become an intrinsic part of social impact organisations. They have become so commonplace that prosocial behaviour has strayed into a kind of tokenism. It is common for instance for consumers to donate their hard-earned money to companies who focus their energies on trying to alleviate real-world issues.
The question then is whether this proxy for compassion isn’t in fact watering down human connections, as well as our positive impact on the issues business and organisations seek to solve with our help.
Postmodern behavioral science
If it is, then we must understand why and how to change that. This is where postmodern behavioral science provides a possible better alternative to social impact strategies. Postmodern behavioral science suggests that the current approach to understanding human behaviour lacks even a rudimentary understanding of empathy, defined in the area of social impact as a discursive strategy that allows us to feel what the group we are trying to help is feeling.
Of course, compassion has very close ties with empathy. Empathy is an innate ability we all have, one that we can learn to develop and fine-tune over time. It is our emotional connection to another human, though one that lies beyond our own ego. It takes the perspective of the person who is struggling and seeks to understand their life, their struggle, and their worldview. It also resolves to value and validate their perspective and experience — something that donating money to a social impact cause does not.
In its broader definition, empathy is a shared interpersonal experience which is implicated in many aspects of social cognition, notably prosocial behavior, morality, and the regulation of aggression.
Empathy has a host of positive after-effects when applied as an interpersonal experience. If a social impact organisation is preoccupied with raising capital, then it is likely to disregard the practical worth of empathy for those who truly want to achieve its mission.
Immersive empathy
One way that behavioral science can contribute is to utilise tools that can help augment the experience of those in need for those needing to understand those needs. Both AR and VR can help people visualise and follow the stories of those who require compassion. These create virtual environments for partners, governments, and consumers to experience with the people they seek to help.
But of course, much of human behaviour is geared toward seeking pleasant experiences and avoiding unnecessary pain. Our in-built hedonic valuation systems guide decisions towards and away from experiences according to our survival instincts.
This is precisely why business owners who want to encourage empathy in their customers go the easy route, but should seek a more participatory frameworks to inspire and provide experiences for those on board with a social mission.
Then there are issues like financial literacy in underserved populations, access to clean water, education for women and girls, and environmental conservation, to name a few of the problems that social impact companies are attempting to tackle.
If a company is trying to tackle an issue such as access to clean water, then rather than start there, it should first ask exactly how this issue arose and developed. It should question the beliefs that underpin this chronic social inequality, those that inform policies, practices, cultural taboos, and beliefs about water and people’s access to it.
To simply respond to an issue in its developed form is to leave it unfixed. We must be willing to reverse engineer the origins of that issue that got us to where we are. In other words, human behaviour is not the only component to consider in this.
The main behavioral framework public servants should take with them is to develop a nudge unit solely based on the relationship between behavioural science and technology.
This is mainly because technology is an inevitable part of how we now relate to one another. Immersive Compassion meanwhile should embrace tools like AR/VR that seek to create empathetic environments and valuable impact longevity.
To fully embrace empathy as an organisation is to create relevant and rigorous responses that go as far as to alter the infrastructure of its target goals. Optimising social impact comes down to optimising human experience.
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Article | September 4, 2020
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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