Continuous Intelligence in Healthcare

Health Technology, Digital Healthcare

Article | September 8, 2023

Explore latest hospital industry trends driving digital transformation, data analytics, and patient-centric care for improved outcomes and personalized experiences in a dynamic healthcare landscape. Contents 1. Understanding Dynamic Hospital Industry Trends 2. Significance of Keeping Up with Hospital Industry Trends 3. Quick Glance at Latest Hospital Industry Trends 3.1 Cybersecurit 3.2 Virtualization and ML capabilities 3.3 Telehealth and Telemedicine 3.4 Robotics 3.5 Wearables 4. Future Scope 1. Understanding Dynamic Hospital Industry Trends The hospital industry is undergoing dynamic changes driven by digital transformation, data analytics, and patient-centric care. Hospitals are adopting technologies like electronic health records (EHRs) and telemedicine while leveraging data analytics and artificial intelligence for better insights. Patient engagement and personalized healthcare experiences are prioritized. The shift towards value-based care and proactive population health management is evident. Collaboration, interoperability, and preventive care initiatives are also gaining importance. These emerging trends in healthcare technology reflect the industry’s commitment to improving patient outcomes in an evolving landscape. 2. Significance of Keeping Up with Hospital Industry Trends Staying up-to-date with the latest trends in healthcare industry is of utmost importance for professionals and organizations. It enables them to deliver improved patient care by implementing cutting-edge technologies and treatment methodologies. Hospitals can streamline processes, reduce costs, and allocate resources effectively by adopting industry trends focused on operational efficiency. Keeping pace with industry trends also provides a competitive advantage, helping hospitals attract and retain patients, maintain their reputation as innovative institutions, and outperform competitors. Furthermore, staying informed about evolving regulations and compliance standards ensures hospitals remain compliant, avoiding penalties and legal issues. Industry trends also reflect the changing demographics of patient populations, allowing hospitals to adapt their services and offerings accordingly. This knowledge aids in strategic decision-making, enabling administrators to align their strategies with the evolving healthcare landscape. Additionally, staying updated on industry trends facilitates collaboration and partnerships, promoting innovation and improved healthcare delivery. 3. Glance at Latest Hospital Industry Trends The hospital industry is experiencing a wave of the latest trends reshaping the healthcare delivery landscape. From technological advancements to shifting patient needs and evolving care models, these trends drive significant changes in how hospitals operate and provide care. 3.1 Cybersecurity Taking the lead in hospital industry trends is cybersecurity, which plays a vital role in safeguarding the industry against cyber threats and protecting patient information, sensitive data, and critical infrastructure. By implementing a robust hospital cybersecurity policy, patient data confidentiality, integrity, and availability can be ensured, along with mitigating the financial and reputational damages that can arise from cyberattacks. Furthermore, cybersecurity measures enable the continuity of healthcare services and foster patient trust. Prioritizing cybersecurity helps hospitals maintain compliance with data protection laws like HIPAA and strengthen relationships with patients and other stakeholders. 3.2 Virtualization and ML Capabilities Next in line with hospital industry trends is the adoption of virtualization and machine learning (ML) capabilities that are revolutionizing healthcare operations and patient care. Virtualization allows hospitals to optimize infrastructure, reduce costs, and enhance resource utilization by creating virtual instances of hardware and software. Concurrently, ML algorithms analyze vast amounts of healthcare data, such as electronic health records and medical images, enabling accurate diagnoses, personalized treatments, and predictive insights. The integration of virtualization and ML facilitates remote healthcare services, ensures data security and privacy, and drives operational efficiency, ultimately leading to improved patient outcomes and streamlined healthcare delivery. 3.3 Telehealth and Telemedicine The rapid adoption of telehealth and telemedicine, which will transform healthcare delivery, is on the horizon for the hospital industry. These technologies enable convenient access to healthcare services, especially for individuals in remote areas, reducing travel time and costs. Telehealth and telemedicine improve healthcare efficiency by reducing wait times, allowing timely medical advice, prescription refills, and follow-up care. They also facilitate collaboration among healthcare providers and specialists, ensuring access to specialized care. In emergencies, telehealth and telemedicine in the hospital industry enable real-time triage and remote monitoring. Despite challenges related to regulatory compliance and data security, telehealth and telemedicine have transformed healthcare delivery, offering convenience, efficiency, and expanded access to care. 3.4 Robotics The integration of hospital robotics is reshaping the industry, revolutionizing surgical procedures by enabling exceptional precision and significantly reducing recovery times. Surgical robots assist in complex surgeries, improving accuracy and patient outcomes. Additionally, robots streamline tasks like medication dispensing and inventory management, reducing errors and freeing up healthcare professionals. Rehabilitation robots aid patients in regaining mobility, while robotic telepresence enables remote consultations and monitoring. Despite challenges such as implementation costs and regulatory considerations, robotics continues to transform healthcare delivery, enhancing patient care and operational efficiency. 3.5 Wearables The widespread adoption of wearables, emerging prominently in the hospital industry, redefines patient care and monitoring practices. Wearable devices, such as smartwatches, fitness trackers, and remote patient monitoring devices, offer real-time health data and enable continuous monitoring of vital signs, activity levels, and sleep patterns. These devices provide valuable insights into a patient's health and allow for early detection of potential health issues. Wearables promote patient engagement and empowerment by encouraging individuals to manage their health actively. Healthcare professionals can remotely monitor patients' health status, track medication adherence, and intervene promptly if abnormalities are detected. Additionally, wearables offer opportunities for remote patient monitoring, telemedicine consultations, and personalized health interventions. 4. Future Scope The potential of hospital industry trends in the coming years also encompasses genomics and personalized medicine advancements. With an increasing understanding of genetic factors in health and disease, hospitals can offer tailored treatments based on an individual's unique genetic makeup, leading to a revolution in disease prevention, diagnosis, and treatment. Furthermore, integrating blockchain technology in healthcare is expected to enhance data security, interoperability, and patient privacy, enabling seamless sharing of medical records across healthcare providers. Overall, the horizon of the hospital industry holds immense promise for innovative technologies, data-driven insights, and patient-centric care models, all contributing to the development of a more efficient, accessible, and personalized healthcare ecosystem.

Health Technology, AI

Article | July 18, 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.

Health Technology, Digital Healthcare

Article | August 16, 2023

As COVID-19 rages on, warning sirens have sounded of late amid a flurry of headlines surrounding Ultraviolet-C (UVC) light device safety issues. Rightfully so, as the current pandemic has ushered in a veritable “wild west” of UVC gadget deployments with subpar consumer safeguards, instructions or guidance. So important are the concerns amid this rapidly proliferating product sphere, the FDA recently issued a consumer advisory regarding UVC light technology that’s applicable for industrial, business, travel and residential use. Once largely a germicidal method leveraged in hospital, industrial and other commercial settings for its extreme efficacy, today’s breed of UVC technologies are small, portable and inexpensive enough to be making their way into businesses of every type across the globe—and even traverse with individuals while they’re out and about. This, as generalist retailers like Amazon and Walmart have joined the fray in their attempts to divert market share from the more specialized, expert-driven, safety-focused UVC purveyors. While germ-killing UVC technologies do proffer tremendous advantages and results for users—serving as a potent tool for easily and effectively eradicating harmful viruses, bacteria, pathogens and microorganisms—there are a number of considerations a business (or employee) should heed before procuring and using such a powerful device. This includes, but is certainly not limited to, why; when; where; and how it will be used—variables that impact safety and risk concerns related to UVC wavelength, dose and duration of radiation exposure. Shopping in this category can be equally overwhelming. One need only Google “UVC lamps,” which delivers nearly 100,000 results, to realize how bloated this category has become. Amid the chaos, I did happen upon a highly targeted, category-dedicated source wholly dedicated to UVC technologies: CureUV.com. This company draws on over 20-years of expertise in the design, development and provision of technologically advanced UV products and solutions. Today, they are a premier provider of germicidal UVC light solutions for commercial, industrial, portable, residential and even water applications. While its form factor catalog is copious, below are a few of CureUV’s more popular UVC devices starting under $90 that proffer chemical-free disinfection, which can help ensure your spaces remain free of illness-causing microbial contaminants like viruses, bacteria, mold and other fungi: Rechargeable Handheld UV Sanitizer Wand With Digital Timer Here's a highly portable way to eliminate germs and have a cleaner environment no matter where you may be. This powerful UVC illumination system, which retails around $89, eradicates up to 99.9 percent of viruses, bacteria, germs, mold, dust mite eggs and flea eggs on surfaces. This non-chemical option adds an extra layer of safety to you with no hazardous residue. It contains a 6-inch UVC lightbulb allowing for a wider coverage of area as well as accelerating sanitation in the process. A built in timer inside the device allows you to keep track of desired dosage creating precise sanitation sessions-- anywhere from 5 to 60 minutes to indefinite. Its silent operation allows for a noise free solution for sanitation, and sleek and cordless and lightweight design is perfect for travel however near or far--daily around town or those hotel visits. Sanitize how you want in your desired target area or on your personal items keeping them germ free. An internal rechargeable battery saves money on replaceable battery purchases as compared to various other handheld wands on the market. GermAwayUV 18-Watt Handheld UVC Surface Sanitizer This device offers reliable and highly portable sanitizing performance at an entry-level price. Indeed, at under $120, this is an affordable, dual-bulb, handheld UV sanitizer that still maintains power levels similar to more industrial UV surface sanitizers. This lightweight and ergonomically designed 18-watt UVC sanitizer will give you much peace of mind. It has a 6-foot cord adequate for most applications, but the sanitizer will run easily with virtually any simple power extension. Its two 9-watt UVC sanitizer bulbs are guaranteed to produce UV light in the 253.7 nanometer (nm) wavelength, which has been consistently proven to eliminate all illness-causing microorganisms. It's the perfect tool to disinfect high use and traffic areas, as well as locations where bacteria and viruses congregate like bathrooms, door handles, seating areas and cooking/dining spaces. It'll prevent the spread of harmful bacteria and microorganisms, or simply add an extra layer of cleanliness and protection to your cleaning procedures. It comes bundled with protective amber UV safety glasses. Deluxe GermAwayUV 95-Watt UVC Surface Sanitizer with Cage With a 95-watt bulb, this chemical-free, tabletop UV room and surface sanitizer is the strongest of its kind. It will result in effective room sanitation by killing up to 99.9 percent of bacteria, viruses, mold spores, yeasts, C. diff, odors and other harmful microorganisms. With a simple touch of a button you'll be able to leave the room while the entire space is cleaned and disinfected in a matter of minutes. The device has five time settings: 10, 20, 30 and 60 minutes; and hold for indefinite run time. After the selected dosage time has elapsed, the device will automatically shut off. You can use it regularly to ensure a consistently clean room. Heavy Duty Dual Bulb 72-Watt HVAC UV Air Purifier Suitable for use anywhere, including schools, offices, work-floors and medical rooms to sanitize air and environmental surfaces, this device is effective in small and large rooms/buildings alike, up to 2,400 square feet. With a powerful 72-watt bulb and a standard electrical unit, you can insert this premium UVC bulb into any HVAC system as an easy add on to sanitize the air in the system. Typical air purifier units and HVAC systems are definitely useful, designed to filter and ventilate air well. But even the finest filters can’t stop atomic sized bacteria and viruses. This device is therefore a great extra add on because it really does target and stop bacteria and viruses from circulating. It sanitizes and disinfects air passing through the HVAC system. Its 72-watt bulb emits UVC light of 254nm and is the most powerful bulb. Most devices are typically only effective in small rooms, but with this level of wattage you can use this device in large rooms and building types. At its wavelength, the emitted light is able to penetrate and kill the DNA of atomic sized organisms that create problems for humans. UVC emission also acts to eliminate mold spores, yeast and fungi. So, inserting this unit device into your existing HVAC system ensures that not only will the air that moves through your building be ventilated, it will also be irradiated and disinfected as it passes over the bulb. Instead of just filtered air in your system, you’ll end up with sanitized, healthy air. Add on (retrofit) features like this one are great because you can just insert them into an already installed and operating HVAC system with minimal additional running costs. This device is easy to install and is capable of DIY application. Other available HVAC retrofit air sanitation and purification solutions include a coil scrubber or 36-watt HVAC UVC air purifier. GermAwayUV High Occupancy Wall Mountable 150-Watt Air Purifier and Sanitizer This is a safe and efficient way to sanitize and disinfect the air in high traffic occupied areas. Simply mount the sanitizer on the wall as you would hang a TV or mount a standalone AC system and let the system do its magic. The air purifier will use its powerful, yet quiet, fan to continually cycle all of the air in the room through the system. Once the air does so, it will be met by a quintuple filtration and sanitation system that culminates in a full 150-watt UVC germicidal irradiation. Put this system in a busy hallway, a crowded restaurant, a veterinary clinic with high traffic, a busy office, etc… and it will eliminate bacteria, viruses and harmful pollutants as quickly as possible without exposing anybody to any UVC rays. It proffers optimum perf

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.