Health Technology, AI
Article | July 18, 2023
Virtual reality (VR), the new technological advancement, is set to transform practices in the healthcare industry. According to Statista, it is estimated that, by 2022, the second largest market share of VR will be from the healthcare industry. Virtual reality in healthcare operates in various divisions to offer a greater quality of patient care and performance of medical professionals. For the health and healthcare industry, from the clinical process to the user, VR has a multitude of applications such as tutoring future doctors, generating new life-saving routines, etc.
Virtual reality in healthcare can confront the challenges in the industry, including efficiently handling huge healthcare databases, training and development of medical professionals, patient engagement, disease awareness, medical marketing, patient treatment, etc. Virtual reality in the healthcare market, according to a report from Reports and Data, is expected to reach USD 8.03 billion by 2027 from USD 2.06 billion in 2019.
This article discusses how virtual reality in healthcare is going to transform the industry by applying it in various divisions such as medical training, patient treatment, patient engagement, disease awareness, and medical marketing.
Virtual Reality in Healthcare Training
VR in healthcare can transport you to areas, inside of the human body, that otherwise would be impossible to access and view. Medical students currently use cadavers to learn, but cadavers do not react the same way live patients do. Also, cadavers are very difficult to get hold of. When VR is used in healthcare training, students can view even minute detail of all parts of the body. This view is possible in stunning 360° CGI reconstruction and creates training scenarios, which would replicate real surgical procedures.
Virtual Reality in healthcare can be used to deliver high-quality surgical training. Using virtual reality, 4K 360° video of real-life surgery is filmed from multiple angles. Then it is combined with CGI models of the anatomy, which is being operated. This advanced use of virtual reality in healthcare provides medical students with an interactive and immersive training experience.
Treatment
Patient Education
The ability of virtual reality in healthcare to see inside of the human body is useful for both doctors and patients. With the help of VR, doctors can take patients through their surgical plan. This is made possible by a virtual view of the anatomy and pathology of patients through a patient-specific 360° VR reconstruction. The result of this is an enhanced understanding of the treatment for patients and higher patient satisfaction.
Robotic Surgery
Robotic surgery is a recent innovation. A robotic device, such as a robotic arm, is used in a robotic surgery while being controlled by a human surgeon. This utilization of virtual reality in healthcare makes sure of fewer or no risk of complications in surgeries. This also makes the surgeon finish the surgery procedure faster with greater accuracy. The robotic devices are accurate with reduced blood loss, smaller incisions, and faster recovery.
Mental Health and Psychological Therapy
The unique ability of virtual reality technology to take you anywhere virtually can be utilized to create a powerful virtual reality simulation in healthcare of various scenarios in which psychological issues occur. This eliminates the necessity of a therapist accompanying patients to various scenarios such as a tall building or a crowded shopping center to provide proper counseling. These scenarios can be easily created with virtual reality technology in healthcare. Virtual reality in healthcare market has also been used to help autistic children in the classroom, curb memory loss, and gather data for dementia research.
Pain Management and Physical Therapy
Apart from psychological issues, the healing capabilities of VR are also used in pain management and physical treatment. According to a study by the UW Harborview Burn Centre and the University of Washington Seattle, a full VR immersion acted as a distraction for patients, who were undergoing physical therapy after a skin graft. This distraction subsequently reduced their feeling of pain.
Virtual reality in healthcare is also found to be effective in reducing recovery time in physical therapy. Patients performing their daily exercises in a virtual environment, find the task to be more fun than usual. It also keeps the patients focused and helps them keep their spirits up and recover sooner.
Patient Engagement
With the help of virtual reality in healthcare, patients can experience a virtual tour of the inside of their bodies before surgeries. This is a 360-degree, three-dimensional (3D) tour. This enables patients to know their body, anatomy, and pathology, before the surgical procedures. Virtual Reality Medical Visualization platform is developed for the tour.
These advancements with virtual reality in healthcare engage patients thoroughly, which reduces tension and lead to a speedy recovery.
Medical Marketing
The most popular and initial application of Virtual reality was marketing. Still, it continues to be one of the most effective and powerful marketing tools. The ability to use VR to project the future of healthcare is the most powerful tactic in healthcare marketing. With Virtual reality in healthcare, one of the most powerful tactics that you can have to market in the industry is to show people what changes they can expect when they start or stop exercising, lose or gain weight, the progress they make through cancer treatments, etc.
As the possibilities of virtual reality in healthcare are endless, healthcare professionals and providers can attract more patients, doctors with high caliber, and nursing staff to your facilities. When those are in short supply, virtual reality in healthcare can be used as an excellent healthcare marketing tool to ensure expected results.
Disease Awareness
AbbVie, a pharmaceutical research & development company, created an experience to educate medical professionals and raise awareness among them regarding the daily struggle Parkinson’s disease patients undergo. The experience was demonstrated at a pharmaceutical industry trade show. People put on a headset and experienced how Parkinson’s sufferers navigate a virtual supermarket, meeting with difficult moments when they come in contact with other people.
Such experiences with virtual reality in healthcare help raise awareness for various diseases among professionals and patients. Virtual reality presentations can be conducted to raise awareness of certain diseases.
The Future of Virtual Reality in Healthcare
A lot of applications of virtual reality in healthcare are in their nascent stage. In the coming years, virtual reality will be used more in healthcare, which will improve the effectiveness and accuracy of present procedures. It will also enhance the various human capabilities, for both patients and medical professionals. Virtual reality in healthcare has huge potential, but only limited by the ingenuity and creativity of people who create and apply the technology. VR will surely transform medical training, physical and psychological therapies, rehabilitation, mental health treatments, and patient engagement, among others.
Virtual reality in healthcare holds the power to transform the way doctors are trained and treatment is provided to patients. According to reports from various market research companies, especially research done by Grand View Research, predict that, by 2025, virtual reality in the healthcare market will grow to a whopping US$5.1 billion. The major driving forces behind this growth are Rapid technological advancements in the healthcare industry and driving demand for rehabilitation and simulation training.
Frequently asked questions
How is virtual reality used in healthcare?
In healthcare, virtual reality is used in treatment, training, and to raise awareness among medical professionals and patients regarding various diseases. Patients and doctors are made to view the inside of the human body using virtual reality.
Where is virtual reality used in healthcare?
Virtual reality is used in various sectors of healthcare to deliver high quality patient care. Treatment with the assistance of virtual reality also increases the efficiency of medical professionals. Virtual treating is applied in all aspects of medical treatment.
What are the benefits of virtual reality?
Virtual reality in healthcare saves both, the time and money of healthcare providers. It also makes the work of medical professionals more convenient. It eliminates unnecessary travel for treatments by making appropriate decisions.
How virtual reality is changing healthcare?
Virtual reality is changing the healthcare by providing different advanced ways of treatments, especially for physical and psychological therapy, surgeries, pain management, and stress management and by assisting the rehabilitation process effectively.
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Healthtech Security
Article | November 29, 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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Healthtech Security
Article | August 31, 2023
Introduction
Within the last two years, the healthcare industry saw an influx in patient care as COVID-19 swept through communities across the globe. The widespread shortage of patient care tools, personal protective equipment (PPE), and medical technology amid the pandemic led to an exponential rise in health expenditures and demand for essential supplies.
In response to the medical demand-supply imbalance, the governments of numerous countries increased their medical care expenditures to counter the challenges of patient care equipment shortages. For instance, according to the National Healthcare Expenditure Data, federal government spending on healthcare and medical care grew by 36% in 2020 and is estimated to reach US$ 6.2 trillion by 2028 in the U.S.
Despite the rise in medical budget allocations, medical facilities are still facing difficulties obtaining enough supplies with the growing prevalence of numerous chronic, infectious, and hereditary diseases. As a result, organizations are focusing on deploying innovative solutions, such as healthcare supply chain management software, to keep track of inventory, procurement, logistics, and others and strengthen their supply chain.
Healthcare Supply Chain Management Solutions: Key Types
Healthcare systems, hospitals, and other patient care sites require a broad array of supplies to perform diagnosis and treatment, from masks and gloves to catheters and implants. Inadequate supplies coupled with inflation is making supply chain management a crucial but complex component in providing optimal patient care across the healthcare industry. This has shed more light on the role of supply chain management in saving lives.
Effective supply chains help various regulatory agencies, including medical goods manufacturers and insurance companies, deliver essential supplies, resources, technologies, and other patient care goods to healthcare establishments. Supply chain management solutions are thus garnering massive traction among healthcare organizations for simplifying and automating manual supply chain and logistics operations.
Let’s have a look at the types of supply chain management software that assist healthcare organizations to optimize their supply chain processes
Inventory Management Software
Efficient medical inventory management is critical for the running of healthcare organizations. The software provides real-time inventory tracking, assisting organizations in closely monitoring inventory changes, avoiding shortages of both low-value and high-use patient care items, decreasing the wait time for access to medical supplies, and reducing the chances of late delivery.
Order Management Software
It is crucial for healthcare establishments to have an estimate of the demand and supply of goods to prevent shortages. Order management software enables these organizations to coordinate supply chain demand planning and forecasting. It also assists in streamlining warehouse operations, resulting in faster and more accurate order placement.
Sourcing and Procurement Software
By tapping into the power of sourcing and procurement solutions, healthcare organizations can develop robust sourcing processes and automate, streamline, and optimize their entire procurement processes. The software also assists establishments in improving their supply inventory levels, identifying the best supplier, and reducing their overall purchasing cost.
Shipping and Tracking Software
Shipping and tracking software assist in the planning and execution of the physical movement of goods. These solutions are primarily used by medical equipment manufacturers and suppliers during the delivery or relocation of patient care goods. The integration of these solutions enables organizations to track and manage numerous batches of goods in transit.
The Bottom Line
Growing competition, healthcare regulations, shipping costs, and increased logistics requirements from medical institutions have complicated the supply chain management processes. As a result, life-science companies are investing in cutting-edge supply chain management solutions to reduce numerous errors, improve logistics, and eliminate unnecessary costs spent to fix them.
Thus, several companies are now emphasizing the incorporation of cutting-edge technologies, including artificial intelligence and data analytics, into healthcare supply chain management software to reap benefits such as process automation, streamlined inventory, reduced waste, improved decision-making, and lower labor, supply, and operational costs.
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Health Technology
Article | July 19, 2022
Introduction
The field of smart wearable devices has advanced significantly in recent years as a result of the advent of mobile medicine, the development of new technologies like smart sensing, and the increased penetration of personalized health concepts.
These Internet of Things (IoT)-based smart devices not only help people pursue a healthier lifestyle, but also offer a constant flow of healthcare data, which can be used for disease diagnosis and treatment, by actively recording, tracking, and monitoring metabolic status and physiological parameters. Wearable technologies have the potential to completely change the ways to monitor health behavior and are increasingly finding clinical implementation for patients with various types of diseases.
Wearable Technology: New Ways of Patient Monitoring
While wearable technology has demonstrated value in the fields of entertainment, fitness, and gaming, it is making inroads into the healthcare industry at a rapid pace. Increasing advancements in sensor technology and artificial intelligence (AI) are assisting millions of people in detecting and managing chronic health conditions and avoiding serious illnesses using devices that are as small as a patch the size of a penny or small enough to be worn on the wrist.
According to a study, nearly 320 million consumer health and wellness wearable devices are estimated to be shipped across the globe in 2022, and the number is likely to surpass 440 million units as a number of new devices come out and more healthcare providers start using them.
Most wearable devices, such as smartwatches, now include heart rate monitors, and some have FDA approval for detecting abnormalities such as atrial fibrillation, a major cause of stroke. As these devices become more intelligent, the percentage of patients and consumers who use them to manage chronic health conditions and diagnose symptoms of serious diseases is likely to rise.
This is expected to assist the sales of wearable devices in healthcare to exceed $195 billion by the end of 2027, presenting huge prospects for healthcare equipment providers and associated companies to benefit from the opportunity.
The Future of Wearable Technology in Healthcare
Though wearable technology is experiencing rapid growth, the field is still considered to be in its nascent stage, presenting massive remunerative prospects for the manufacturers of smart devices, especially in the healthcare industry.
Hence, companies of all kinds, from giants to upstarts, are emphasizing on investing and developing new wearable devices with new features and functionalities to meet the surging demand for wearables across healthcare in coming years.
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