Healthtech Security
Article | August 31, 2023
Prioritizing health and managing it, has become highly important because our lifestyle is continuously evolving in ways that take a toll on us mentally, physically, and emotionally. However, the major issue for the patients lies in the inaccuracy of treatment due to the lack of complete health records in any hospital. With the recent changes in privacy legislation and data management, patients are even unable to retrieve their own health records.
For example, someone had an accident and was taken to the emergency room. The first thing they will need to do in their condition is to fill the hospital’s form. Then, for the treatment, if the injured person is conscious enough, doctors ask questions like if they are allergic to some medicines or do they suffer from diabetes or any other disease. Besides, what if the individual denies having allergies or diabetes in their half-conscious state? And the previous hospitals where they have already had treatment before have denied sharing the medical details of the person either due to privacy issues or data corruption. Well, it can create a lot of fuzz.
Solely, to improve the health industry without compromising the security of the individuals, blockchain has remained in the discussion. It has the potential to address the operability challenges present in the healthcare industry. But, what is blockchain, what are its underlying fundamentals, why blockchain, and what are its advantages?
Today’s blog will help in understanding every aspect of blockchain and its impact on the healthcare industry. So let’s get started!
What is Blockchain?
Blockchain is a P2P or peer-to-peer distributed or decentralized ledger technology. It stores a chain of data called blocks of information. These blocks are chained together by cryptographic signatures. These signatures are called hash that is stored in the shared ledger and backed by a connected processes network - node. These nodes reserve a copy of the complete chain and get continually updated by synchronization. Though, to include blockchain in the process it’s necessary to hire a developer who has prior experience and knowledge about its architecture and can work with the components efficiently as blockchain is a designed pattern that consists of three major constituents - a distributed network, a shared ledger, and all the digital transactions.
a. Distributed Network
As discussed before, blockchain is built on peer-to-peer networks. While having no central point of storage, it makes the information on the network less vulnerable to being lost or exploited.
Unlike the traditional client-server model that has a centralized storage point or controlling party, all the information in the blockchain network is constantly recorded and transferred to the participants of the network that are also known as nodes or peers. These peers also own several identical copies of the information. That’s why blockchain is seen as a huge improvement to centralized models and is considered the future of data storage and ownership.
b. Shared Ledger
Each authorized participant in the network records the transactions into the shared ledger. If they want to add any transaction, it is important to run algorithms that evaluate and verify the transactions. If the majority of members agree to the transaction’s validity, a new transaction gets added to the shared ledger. The changes done in the shared ledger is reflected in minutes or even seconds in the copies of the blockchain. Once the transaction is added, there’s no way to modify or delete it. Also, as the copy is shared in the form of a ledger to each member, no single member can alter data.
c. Digital Transaction
Transactions are information i.e. data transmission to one block. During the process of data transmission, each node acts as a central point to generate and digitally sign the transaction. As the nodes connect each other in the network, each of them has to verify the transaction independently for its conflicts, validity, and compliance. Only after the transaction passes the verification, the information is added into the shared ledger. The major element that makes digital transactions successful is cryptographic hashing that encrypts the data for security.
Why Blockchain technology in healthcare?
It has happened so often that the patient remains unable to gather all of their previous medical records in one format from one place swiftly or sometimes cannot even collect the required information at all. Unfortunately, in most cases, the information of critical patients remains scattered across several different institutions of healthcare that too in different formats. Besides, the data management systems along with the security regulations also vary in different institutions making it difficult to trace and fix mistakes.
But, what can blockchain do?
A blockchain is a system used for storing and sharing information with security and transparency. Every block in the chain is an independent unit of its own and a dependent link among the collective chain that creates a network controlled by participants rather than a third party.
As blockchains are managed by network nodes instead of central authority, they are decentralized that prevents one entity from having complete control over the network. With the incorporation of blockchain, the need for a central administrator will be removed by cryptography. Healthcare providers will be able to promote data management processes beyond perception. It will help in collecting, analyzing, sharing, and securing medical records. It will provide the access to healthcare workers for retrieving health records with the cryptographic keys provided by patients from anywhere without creating any privacy or security problems.
Advantages of Healthcare Blockchain
Although applications of blockchain in the healthcare industry are inceptive, some early solutions have shown the possibility of reduced healthcare costs, improved access to information among different stakeholders, and streamlining the entire business process. So, keeping aside the buzz, let’s see the real advantages of blockchain in healthcare.
1. Master Patient Indexes
The master patient index helps in the identification of patients across separate administrative systems. It is often created within the EHR or electronic health record system. As these EHRs have different vendors, there are several irregularities of MPIs. In many cases, the data of a patient between these healthcare systems become mismatched. However, with the nature of decentralization in Blockchain, it possesses the ability to solve the issue. In the blockchain-based MPIs, the data will be hashed to the ledger and content will remain unique as only the authorized nodes of the data can make changes to the hashes while all parties with access can only check the related information.
2. Single, elongated patient records
Blockchain technology is potent to transform health care by placing patients at the center of the system while increasing the security and privacy of health records. It provides a new model for health information exchange by forming electronic elongated patient records secured and efficient. Additionally, the fact that the data is copied among all the nodes of the blockchain network creates an atmosphere of clarity and transparency that enables healthcare providers and patients to know how their data is handled by whom, how, and when. It can also help healthcare from potential frauds, data losses, or security attacks.
3. Supply Chain Management
Supply chain management in healthcare is a challenging aspect. With scattered settings for ordering drugs, medical supplies, and critical resources, there’s an inherent risk of compromising the supply chain that might impact patient safety. Indulgence of blockchain technology in the transactions can tap into the complete process of medicine or drug products movement. As all the transactions will be recorded onto the shared ledger with every block recording and maintaining every transaction, it will become easy to verify the vendor, distributor, and origin of the drug within a matter of seconds. It will also enable healthcare physicians and officials to check the authenticity of the supplier’s credentials.
4. Claims Justification
Currently, the insurance claim processes face difficulties like lack of transparency i.e. most customers don’t even know how insurance works; human errors and inefficiencies i.e. insurances are full of confusion along with human errors that create inefficiencies that lead to the increased cost to customers; higher frauds in claims. But, blockchain technology can simplify and enhance recordkeeping, payment processing, claims registration, contract management, and closure with its immutable ledger.
5. Interoperability
Interoperability is the capability of distinct healthcare information technology to interpret, exchange, and use data. Due to the privacy issues, the alphanumeric code to identify a patient has been revoked that caused problems in gathering the required record of the patient. Enforcing measurement standards for industry-wide interoperability is also a challenge in interoperability. With blockchain in healthcare interoperability, data can be shared in real-time on the trusted network and provides access to the patient’s record in a secured manner. Moreover, with the pri
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Healthtech Security
Article | November 29, 2023
Since ChatGPT’s launch in November 2022, artificial intelligence (AI) tools have become disruptive to nearly every industry. While there's been controversy about whether AI would benefit the healthcare industry, it has proven to be just as capable in healthcare as in other sectors.
In the medical field, there is reason to believe AI tools may be an even more reliable and useful resource than other sectors. Medical students have been panicking over AI's threat to their career prospects. But as these systems mature, the experts increasingly believe that AI may serve as a counterpart to human medical expertise rather than a threat.
How AI Tools Are Expected to Aid Medical Professionals?
Again and again, as the debate over modern AI tools rages on, we encounter the analogy of the calculator. No one feels threatened by calculators, not even professional mathematicians. Instead of throwing up their hands, math experts embrace the power of these now archaic computerized devices. If the experts are correct, this may be similar to the future of the alliance between AI and humans.
According to the designers and programmers who understand how these systems work as well as how information technology tends to progress, AI can be expected to help the medical profession in the following ways:
Cosmetic Surgery Consultations
One of the farthest-reaching applications we see develop is in consultations for plastic surgery and similar applications. Perhaps one of the easiest aspects to understand is hair-loss consultations. In our practice, we use a device known as HairMetrix, which uses an AI-driven analytical system to help determine what is causing a patient to lose their hair and which treatment options would be the most effective.
Because it is AI-driven, it is fully based on visual scans and is completely non-invasive. Just like this, AI can be used in an abundance of other ways to minimize the use of exploratory surgery and improve healthcare outcomes.
Improved Diagnostics
Artificial intelligence is already helping medical providers deliver diagnoses more quickly. These tools can identify anomalies that might otherwise take human hours or even weeks to identify. This has improved the rate of cancer detection, among other things, which will predictably improve survival rates.
Developing New Pharmaceuticals
The development of new medicines is notoriously slow. Not only is testing a painstaking process, but even seeking FDA approval can take years. AI is expected to help the development of pharmaceuticals through simulation on the molecular level, allowing researchers to see how the active mechanisms in a drug will work in the body.
Improved Administrative Efficiency
In the medical field, administrative tasks are notoriously slow. It is believed that generative AI will be able to automate many administrative functions and innumerable office chores. It could streamline sorting patient files, accelerate the interpretation of data, and much more.
Patient Access
In an area where information technology is already improving patients' lives, access to medical advice is still a bottleneck in the system. AI tools have the potential to slowly bridge the gap in health disparities. Combined with the power to diagnose, this could dramatically increase the capability of online patient portals.
Of course, this list of anticipated AI capabilities is far from exhaustive. Researchers and medical professionals have high hopes for these tools, and some are already proving to be more than mere speculation.
In a world where AI is reshaping industries at an unprecedented pace, the healthcare sector stands poised to benefit significantly from this technological revolution. From streamlining administrative tasks to revolutionizing diagnostics, the potential of AI in medicine is vast and diverse. As we witness AI-enabled tools like HairMetrix, enhancing the cosmetic surgery consultations and AI algorithms expediting diagnostic accuracy, it's clear that we are only at the beginning of a healthcare transformation that is set to improve patient care, increase survival rates, and revolutionize medical practices.
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Health Technology
Article | September 12, 2023
COVID-19 has sped up the adoption of healthcare technology solutions by healthcare providers. This has unexpectedly brought a peak in opportunity for health tech companies to achieve important business, demonstrating your innovations. However, it is very challenging and competitive as bigger health tech companies pivot and new health tech start-ups keep coming into the healthcare market. This also makes the healthcare technology market an increasingly competitive space.
Thus, all health tech companies need to depend more on effective health tech messaging for their business purpose and credibility. This will help them bring their targeted clients on board for the long-term.
Health tech Messaging Challenges Faced by Marketers
Nowadays, the process of marketing products online is a combat sport. With every passing year, it is becoming more challenging for health tech marketers to beat the algorithms, build the audience, and ultimately win the hearts of the customers through effective health tech messaging.
Digital health leaders are coming up with amazing technology innovations that can revolutionize the healthcare industry. Electronic medical records (EMR) software, medical billing software, medical practice management software, electronic claims software, medical database software, medical research software, medical diagnosis software, medical imaging software, telemedicine software, etc. are some of the examples of amazing technology innovations and latest healthcare technologies. But, things fall apart when it comes to marketing through effective health tech messaging. The following are some of the health tech messaging challenges faced by marketers.
• Communicating the purpose and value of your business and the products effectively to
clients
• Making the clients understand the credibility of the technology products and your business
• Product positioning
• Lack of clear healthcare marketing strategy
• Bad marketing advice
• Lack of effective and compelling marketing content
• Failing to understand the client/buyer persona
• Failing to understand the brand pillars,
• Ignorant of effective use of various messaging channels, and much more
Why Does Effective Health Tech Messaging Matter?
From the introduction part, you might have already understood the power of a good health tech messaging strategy. If you do not have a unified marketing strategy, you will end up merely alienating potential customers; they may end up in confusion about the purpose of your health tech brand. Moreover, without an effective health tech messaging strategy, you may become incoherent to your audience. But the real impact of a cohesive and good health tech messaging strategy will surely go beyond everything we have talked about already and empower your business in all aspects.
Different marketing materials, whether they are social media posts, emails, podcasts, videos, or something else, your health tech messaging strategy will guide you in determining what to focus on and what tone to be used. If you are planning a social media campaign or writing blogs and articles, you will know the attention-grabbing ways of speaking to your customers. This is possible only if you have a defined messaging strategy. Customer service teamwork also becomes more effective and easier, when you have a good health tech messaging strategy. Educating the customer is easier when you speak to them in a tone and language that you know they will understand. Doing it consistently makes you win the customer.
How Health Tech Messaging Can Work for Reaching Healthcare Decision Makers
It is not an easy task to engage healthcare 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.
Here, an effective health tech messaging strategy can help you reach out to decision makers easily. Health tech messaging strategy lays out various health tech marketing techniques, tricks, or tactics. These health tech messaging techniques or methodologies are helpful in the three stages of your health tech client journey: awareness, consideration, and decision making stages. Through all these stages of health tech massaging, you help or influence health tech decision makers to recognise they have a problem, consider a solution, and finally they take the decision to purchase your product.
4 Factors Influencing the Effectiveness of Health Tech Messaging
Performing your brand messaging haphazardly is not going to take you anywhere in reaching out to people, who need your products. Instead, you should slow down yourself a bit and build a compelling health tech messaging strategy. Test it, launch it, and learn from it.
If you are strategic, you are truly going to drive your mission despite the noise that is existing on the internet today. Here are four important factors that will help you make your health tech messaging strategy effective and compelling.
Understanding Your Targeted Audience
You have a better idea of who you are and what you offer. Now you need to know who your audience is, which is equally important in building health tech messaging strategy. Throughout the process of messaging, it is vital to keep your ideal buyer in mind. So, you will only create messages that will resonate with the needs, interests, motivations, and pain points of your potential clients. The things you want to know about your targeted clients are called buyer/client persona.
Buyer Persona
It is better to create a buyer persona that tells who your customer and what their goals are. Buyer persona also will help you align your brand with your customers. According to HubSpot, a buyer persona can be a semi-fictional representation of your potential customers based on real data and market research and about your current customers.
Knowing who your messages are aimed at is important in developing a successful health tech brand messaging strategy. Before you go any further, buyer persona makes you know:
• Who you are marketing to
• What they care about and value
• The sort of language they use and will respond to
• Geographical location
• Educational and income levels
• Psychographics and behavioral patterns, etc.
Focusing on Your Differentiating Factors from Competitors
To figure out your differentiating factors from the competitors is as important as you understand your place in the market. You will have to assess the differences and similarities between the products and services you offer and your competitors’ offerings. Also, compare the targeted audience of you and your competitors.
Understanding your competition, you face from the market, will get you a clear image of your brand and what health tech message you may have to send out to your targeted audience. Just remember that each of the health tech brands can have only one message; it needs to be unique. Due to the competition, messages can be too similar, but it should not make your customers get confused about your business.
Thus, communicating your uniqueness to your audience is a very important factor. In this regard, conducting some competitor analysis may help you a lot.
Making your Value Propositions Obvious
You can influence how people perceive your brand if you could successfully communicate the values of your business. Values are principles or mission that guide all actions of brands. Storytelling can be effectively used to illustrate the values of your brand. Success stories from Salesforce and Microsoft’s Story Labs are examples. These stories can be on things such as empowering small businesses or improving the world through technology. It creates loyalty when you make your clients feel they are part of something that is going to change the world for the better.
It is very helpful to start your health tech messaging process with your value prop because it is the core of what you do and who you are. Your value prop explains both the emotional and functional benefits your service or products provides. This means the value people get out of your products. Communicating the values of your company is considered strong health tech messaging only when it specifies how your brand is going to solve a problem and why should people choose your product.
Using Multiple Technology Channels for Brand Messaging
In general, digital health tech messaging has to be pinpointed. The spray and pray method will not work to bring in inbound leads. However, if you want to reach out to health tech audience with your health tech messaging, you should be there on all the channels they are on. Here are a few examples of channels, which can be used to reach out to people effectively with your health tech messaging process.
Digital Ads
If digital ads are used effectively for health tech messaging, you can reach out to your target audience easily. When digital ads are used correctly, you can pinpoint the audience through audience targeting and keywords. Moreover, through ad channels, you can reach out to people who otherwise would not have ever known about your products. However, if you are not using digital ads effectively, you will lose money without any results.
Social Media
Most people are active on some sort of social media channels. Many of these people use these channels either for networking or educating themselves in their field.
This is the reason why you should concentrate on social media platforms for effective health tech messaging in a way that encourages interaction and feedback. Along with establishing a strong relationship with your prospects, you can also use social media platforms to build brand awareness through health tech messaging process.
Emails
Emails are the fruitful medium for effective health tech messaging. You can build brand awareness through seeding emails regularly. It will work as a bookmark than a selling point. Potential clients will remember the good interaction you had with them through emails when they have a problem in the future.
Along with these channels, other channels such as videos, websites, blogs, articles, podcasts, etc. also can be used for effective health tech messaging. These multiple channels, where most of your potential clients are present, are selling points for your health tech products or helps in lead generation for healthcare technology products.
To sum up, what matters more in health tech messaging and marketing is projecting your values, differentiating factors, knowing A to Z about your targeted audience, and meeting them on the channel, where they are present. Your health tech brand message is something that makes you dwell in the minds of people. Thus, how you are perceived matters a lot. Start building your brand today by sending out effective health tech messages to your potential clients.
Frequently Asked Questions
How does health tech messaging help?
Heathtech messaging helps you to improve your business by making your potential clients understand what you are and what you do. Brand awareness of your products is done through effective health tech messaging.
What is the best health tech messaging method?
The best health tech messaging method is to project your business values in all the marketing campaigns you do. It should specify what your customers can expect from your products and services and what changes it will make in society.
How does technology help in healthcare?
Technology helps healthcare to avail all patients the best treatment available and make them satisfied and engaged. Also, technology helps healthcare industry to innovate treatments and revolutionize the entire practice in the healthcare sector.
Why is technology important in healthcare?
For achieving optimum patient satisfaction and engagement, technology is important in healthcare. Also, technology plays a role in improving the healthcare system and saving the lives of people.
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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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