5 Ways AI is Likely to Benefit Medicine & Improve Patient Care

Health Technology, Digital Healthcare

Article | September 8, 2023

In the ever-evolving healthcare landscape, transparency in pharmacy benefit management (PBM) has emerged as a critical issue. The discussion surrounding driving down prescription drug costs and increasing access to affordable medications has brought attention to the practices of PBMs. However, achieving true transparency requires more than just buzzwords; it necessitates access to real-time data that empowers consumers to make informed decisions about their healthcare. In this piece, we will explore the importance of real-time transparency in PBMs and highlight how Xevant, a leading platform, is revolutionizing the industry. The Current State of PBM Legislation With over 100 bills to reform PBM practices, legislative efforts are intensifying to address the business practices associated with PBMs. However, one common concern is the absence of language surrounding real-time automation in many of these bills. The lack of such provisions threatens to undermine the effectiveness of the proposed reforms. It is crucial to examine the available resources and insights to gain a comprehensive understanding of the issue. The current state of PBM legislation and the efforts to reform PBM practices highlight the pressing need for transparency and accountability in the pharmaceutical industry. PBMs play a critical role in the drug pricing ecosystem. Still, concerns about “traditional” PBM business practices, such as lack of transparency and opaque rebate systems, have raised questions about their impact on drug prices and patient access to affordable medications. Xevant's Groundbreaking Solution Xevant, led by CEO Brandon Newman, stands at the forefront of the drive for transparency in PBM practices. As the only platform capable of providing PBMs and consumers with real-time, automated, and completely transparent data from the entire pharmacy benefits ecosystem, Xevant is poised to revolutionize the industry against the backdrop of the political landscape. The absence of language surrounding transparency and real-time automation in many proposed bills threatens the effectiveness of the reforms. Yet, innovative companies like Xevant are leading the charge for openness in PBM practices. Xevant's real-time data automation and optimization capabilities empower consumers with timely, comprehensive, and transparent information, enabling them to make informed decisions about their healthcare and potentially save money. With the potential passage of these bills, the pharmaceutical industry could see a shift towards greater accountability, fairer pricing practices, and improved access to affordable medications. The reforms could also create a more level playing field for generic drug manufacturers, fostering competition and lowering prices. Real-Time Data Automation and Optimization Newman emphasizes that transparency cannot be achieved without access to real-time data automation and optimization. This real-time, customized data enables individuals to compare prices, explore alternatives, and understand the specific cost components related to their medications. By bringing together various parts of lowering drug costs, such as drug rebates, 340B contracts, sell-side discounts, copay assistance, and employer negotiations, Xevant offers a solution that empowers consumers with the information they need when required. The Implications of Timely Access to Data The scarcity of timely access to data among many traditional PBMs is a significant challenge in achieving transparency in the pharmaceutical industry. These PBMs typically collect data annually, which leaves a substantial margin of error and can result in millions of dollars lost from consumers' pockets. In contrast, Xevant's capabilities offer a game-changing solution. With Xevant's platform, consumers gain immediate access to critical information regarding drug rebates, markups during spread pricing, competitive alternatives, and the vast landscape of the pharmaceutical ecosystem. Having these complete datasets available in real-time allows individuals to make informed decisions about their healthcare and potentially save lives. The significance of timely access to data cannot be overstated, as transparency becomes meaningful only when it happens in the present rather than months, or even a year, later than when the impact has already occurred. Navigating Proposed Legislation and Questionable Business Practices Another critical aspect of the PBM landscape that Xevant addresses is the moral implications associated with cost-sharing, clawbacks, spread pricing, and the pass-through of rebates. These practices have long been criticized for their opacity and their negative consequences on patients' access to affordable medications. Xevant's transparency-focused approach highlights these practices, allowing stakeholders to evaluate their ethical implications and work towards fairer alternatives. Xevant recognizes that proposed legislation may have potential cracks that allow for slip-through and the continuation of questionable business practices. Delayed and inaccurate reporting are loopholes that can hinder the effectiveness of reform efforts. By actively engaging with legislators and industry stakeholders, Xevant aims to identify these potential shortcomings and advocate for comprehensive robust legislation that leaves no room for exlploitation The Future of Healthcare and the Role of Real-Time Automation As the discussion surrounding PBM reform gains momentum, the future of healthcare in America hangs in the balance. Xevant sets a new standard for efficiency and consumer empowerment in healthcare decision-making by employing AI-driven technology. Xevant's visionary approach to real-time data automation and optimization paves the way for greater transparency and cost savings in the pharmaceutical industry. Wrapping Up Transparency in pharmacy benefit management is crucial to addressing the soaring costs of prescription drugs and enhancing access to affordable medications. Without access to real-time data and automation, the pursuit of transparency remains elusive. Xevant's groundbreaking platform solves this pressing challenge, enabling PBMs and consumers to access complete, transparent data in real-time. As legislative efforts progress, the need for real-time transparency becomes increasingly evident, and Xevant emerges as the leading legal solution for PBMs. When harnessing the power of real-time data automation, the vision of affordable healthcare can be transformed into a reality, benefiting individuals and the entire healthcare ecosystem.

Health Technology, Digital Healthcare

Article | August 16, 2023

​As the cost of care continues to rise, many hospitals are looking for long-term solutions to minimize inpatient services. Learn how technology and health care delivery will merge to influence the future of hospital design and the patient experience across the globe in this report developed by Deloitte US. Five use cases for the digital hospital of the future The future of health care delivery may look quite different than the hospital of today. Rapidly evolving technologies, along with demographic and economic changes, are expected to alter hospitals worldwide. A growing number of inpatient health care services are already being pushed to home and outpatient ambulatory facilities. However, many complex andv very ill patients will continue to need acute inpatient services. With aging infrastructure in some countries and increased demand for more beds in others, hospital executives and governments should consider rethinking how to optimize inpatient and outpatient settings and integrate digital technologies into traditional hospital services to truly create a health system without walls. To learn what this future of health care delivery may look like, the Deloitte Center for Health Solutions conducted a crowdsourcing simulation with 33 experts from across the globe. Participants included health care CXOs, physician and nurse leaders, public policy leaders, technologists, and futurists. Their charge was to come up with specific use cases for the design of digital hospitals globally in 10 years (a period that can offer hospital leaders and boards time to prepare). The crowdsourcing simulation developed use cases in five categories Redefined care delivery Emerging features including centralized digital centers to enable decision making (think: air traffic control for hospitals), continuous clinical monitoring, targeted treatments (such as 3D printing for surgeries), and the use of smaller, portable devices will help characterize acute-care hospitals. Digital patient experience Digital and artificial intelligence (AI) technologies can help enable on-demand interaction and seamless processes to improve patient experience. Enhanced talent development Robotic process automation (RPA) and AI can allow caregivers to spend more time providing care and less time documenting it. Operational efficiencies through technology Digital supply chains, automation, robotics, and next-generation interoperability can drive operations management and back-office efficiencies. Healing and well-being designs The well-being of patients and staff members—with an emphasis on the importance of environment and experience in healing—will likely be important in future hospital designs. Many of these use-case concepts are already in play. And hospital executives should be planning how to integrate technology into newly-built facilities and retrofit it into older ones. Technology will likely underlie most aspects of future hospital care. But care delivery—especially for complex patients and procedures—may still require hands-on human expertise. Laying the foundation for the digital hospital of the future ​Building a digital hospital of the future can require investments in people, technology, processes, and premises. Most of these investments will likely be upfront. In the short term, hospital leadership may not see immediate returns on these investments. In the longer term, however—as digital technologies improve care delivery, create operational efficiencies, and enhance patient and staff experience—the return result can be in higher quality care, improved operational efficiencies, and increased patient satisfaction. These six core elements of an enterprise digital strategy can help you get started as you begin to push your hospital into the future Create a culture for digital transformation It is essential that senior management understands the importance of a digital future and drives support for its implementation at all organizational levels. Consider technology that communicates Digital implementation is complex. Connecting disparate applications, devices, and technologies—all highly interdependent—and making certain they talk to each other can be critical to a successful digital implementation. Play the long game Since digital technologies are ever evolving, flexibility and scalability during implementation can be critical. The planning team should confirm that project scope includes adding, modifying, or replacing technology at lower costs. Focus on data While the requirements of data interoperability, scalability, productivity, and flexibility are important, they should be built upon a solid foundation of capturing, storing, securing, and analyzing data. Prepare for Talent 2.0 As hospitals invest in exponential technologies, they should provide employees ample opportunities to develop corresponding digital strategies. Maintain cybersecurity With the proliferation of digital technologies, cyber breaches can be a major threat to hospitals of the future. Executives should understand that cybersecurity is the other half of digital implementation and allocate resources appropriately.

Health Technology, Digital Healthcare

Article | July 14, 2023

The COVID-19 virus (C19) pandemic is turning out to be the event of the century. Even World War seems timid in comparison. We are in the 4th month of the virus (in non-China countries) and have gone past the lockdown in many places. Isn’t it time we re-think the approach? What if there is another wave of C19 coming soon? What if C19 is the first of many such events in the future? Before we get into analysis and solution design, summarizing the C19 quirks: While a large section of the affected population is asymptomatic, for some it can be lethal There isn’t clarity on all the ways C19 spreads It’s known to affect the lungs, heart, and kidneys in patients with weak immunity It has been hard to identify a definitive pattern of the virus. Some observations in managing the C19 situation are: With no vaccine in sight, the end of this epidemic looks months or years away Health care personnel in hospitals need additional protection to treat patients Lockdowns lead to severe economic hardship and its repeated application can be damaging Quarantining people has an economic cost, especially in the weaker sections of society If one takes a step back to re-think about this, we are primarily solving 2 problems: Minimise deaths: Minimise the death of C19 and non-C19 patients in this period Maximise economic growth: The GDP output/growth should equal or higher than pre-C19 levels One needs to achieve the 2 goals in an environment of rising number of C19 cases. Minimise deaths An approach that can be applied to achieve this is: Data driven health care capacity planning Build a health repository of all the citizens with details like pre-existing diseases, comorbidity, health status, etc. The repository needs to be updated quarterly to account for patient data changes This health repository data is combined with the C19 profile (disease susceptibility) and/or other seasonal diseases to determine the healthcare capacity (medicines, doctors, etc.) needed The healthcare capacity deficit/excess needs to be analysed in categories (beds, equipment, medicine, personnel, etc.) and regions (city, state, etc.) and actions taken accordingly Regular capacity management will ensure patients aren’t deprived of timely treatment. In addition, such planning helps in the equitable distribution of healthcare across regions and optimising health care costs. Healthcare sector is better prepared to scale-up/down their operations Based on the analysis citizens can be informed about their probability of needing hospitalisation on contracting C19. Citizens with a higher health risk on C19 infection should be personally trained on prevention and tips to manage the disease on occurrence The diagram below explains the process Mechanism to increase hospital capacity without cost escalation Due to the nature of C19, health personnel are prone to infection and their safety is a big issue. There is also a shortage of hospitable beds available. Even non-C19 patients aren’t getting the required treatment because health personnel seek it as a risk. This resulted in, healthcare costs going up and availability reducing. To mitigate such issues, hospital layouts may need to be altered (as shown in the diagram below). The altered layout improves hospital capacity and availability of health care personnel. It also reduces the need for the arduous C19 protection procedures. Such procedures reduce the patient treatment capacity and puts a toll on hospital management. Over a period, the number of recovered C19 persons are going to increase significantly. We need to start tapping into their services to reduce the burden on the system. The hospitals need to be divided into 3 zones. The hospital zoning illustration shown below explains how this could be done. In the diagram, patients are shown in green and health care personnel are in light red. **Assumption: Infected and recovered C19 patients are immune to the disease. This is not clearly established Better enforcement of social factors The other reason for high number of infections in countries like India is a glaring disregard in following C19 rules in public places and the laxity in enforcement. Enforcement covers 2 parts, tracking incidents of violation and penalising the behaviour. Government should use modern mechanisms like crowd sourcing to track incidents and ride on the growing public fear to ensure penalty enforcement succeeds. The C19 pandemic has exposed governance limitations in not just following C19 rules, but also in other areas of public safety like road travel, sanitation, dietary habits, etc. Maximise economic growth The earlier lockdown has strained the economy. Adequate measures need to be taken to get the economy back on track. Some of the areas that need to be addressed are: One needs to evaluate the development needs of the country in different categories like growth impetus factors (e.g. building roads, electricity capacity increase), social factors (e.g. waste water treatment plants, health care capacity), and environmental factors (e.g. solar energy generation, EV charging stations). Governments need to accelerate funding in such projects so that that large numbers of unemployed people are hired and trained. Besides giving an immediate boost to the ailing economy such projects have a future payback. The governments should not get bogged down by the huge fiscal deficit such measures can create. Such a mechanism to get money out in the economy is far than better measures like QE (Quantitative Easing) or free money transfer into people’s bank accounts Certain items like smartphone, internet, masks, etc. have become critical (for work, education, critical government announcements). It’s essential to subsidise or reduce taxes so that these items are affordable and accessible to everyone without a financial impact The government shouldn’t put too many C19 related controls on service offerings (e.g. shops, schools, restaurants, cabs). Putting many controls increases the cost of the service which neither the seller not buyer is willing or able to pay. Where controls are put, the Govt should bear the costs or reduce taxes or figure out a mechanism so that the cost can be absorbed. An event like the C19 pandemic is a great opportunity to rationalise development imbalances in the country. Government funding should be channelized more to under-developed regions. This drives growth in regions that need it most. It also prevents excess migration that has resulted in uncontrolled and bad urbanisation that has made C19 management hard (guidelines like social distance are impossible to follow) Post-C19 lockdown, the business environment (need for sanitizers, masks, home furniture) has changed. To make people employable in new flourishing businesses there could be a need to re-skill people. Such an initiative can be taken up by the public/private sector The number of C19 infected asymptomatic patients is going to keep increasing. Building an economy around them (existing, recovered C19 patients) may not be a far-fetched idea. E.g. jobs for C19 infected daily wage earners, C19 infected taxi drivers to transport C19 patients, etc. In the last 100 years, mankind has conquered the destructive aspects of many a disease and natural mishap (hurricanes, floods, etc.). Human lives lost in such events has dramatically dropped over the years and our preparedness has never been this good. Nature seems to have caught up with mankind’s big strides in science and technology. C19 has been hard to reign in with no breakthrough yet. The C19 pandemic is here to stay for the near future. The more we accept this reality and change ourselves to live with it amidst us, the faster we can return to a new normal. A quote from Edward Jenner (inventor of Small Pox) seems apt in the situation – “The deviation of man from the state in which he was originally placed by nature seems to have proved to him a prolific source of diseases”.

Article | December 15, 2020

As medical science has improved rapidly, life expectancy around the world also has risen. Still, as longevity increases, healthcare systems are facing a growing demand for advanced services, increased costs, and a struggling workforce to meet various requirements of patients. Demand is driven by many unstoppable forces: a shift in lifestyle choices, shifting patient expectations, population aging, and the never-ending cycle of innovation are a few among others. Challenges Faced by the Healthcare Industry According to Mckinsey, one in four people in North America and Europe will be over the age of 65 by 2050. This shows that, soon, the healthcare industry will have to deal with a larger number of patients with more complex requirements. Catering to these patients is expensive and requires health systems for providing long-term focused and proactive care. To remain sustainable, healthcare systems need major transformational and structural changes. The industry also needs a larger workforce because according to the World Health Organization (WHO), globally there is a shortfall of approximately 9.9 million nurses, physicians, and midwives. Apart from attracting, training, and retaining these healthcare professionals, you also have to ensure that their time and effort add value to patient care. Utilizing the solutions powered by modern technologies, such as Artificial Intelligence (AI) in the healthcare industry, will add perfection and more value to human efforts. AI in the healthcare industry has the potential required to transform and revolutionize healthcare by addressing the challenges in the industry mentioned earlier. AI can better the outcomes, improve efficiency, and augment productivity in healthcare delivery. This article takes an in-depth look at the impact of AI in healthcare. Impact of AI in the Healthcare Industry In the coming years, AI in the healthcare industry will improve the day-to-day life of healthcare practitioners, augment the patient experience, improve care delivery, and can even facilitate life-saving treatments and revolutionize the industry. Additionally, AI will improve population-health management, operations, and strengthen innovations. According to Statista, the global AI healthcare market will increase to more than US$28 billion by 2025. Here is a detailed look into the areas where and how AI in the healthcare industry will be impactful. Chronic Care Management Chronic diseases, such as cancer, diabetes, kidney diseases, are the leading cause of disability and death in the US and the main drivers of the country’s annual health cost. Effectively managing various chronic diseases is an overarching and long-term process. But with the help of the right tool, healthcare providers can meet the needs of these patients without delay. Artificial intelligence tools in the healthcare industry can help healthcare providers overcome the complexities of chronic disease management and make it more effective and provide quality treatment. AI in the healthcare industry is increasingly being leveraged by organizations to improve chronic disease management, enhance patient health, and drive down costs, which will also eventually result in data-driven and personalized care. AI in the healthcare industry is expected to move the industry toward proactive care delivery from a reactive one and lead the industry to provide more individualized treatments. This is just one of the ways AI in the medical industry is going to revolutionize chronic care management in hospitals. Care Delivery Artificial intelligence in the healthcare industry is changing the way care is delivered; it is expected to make healthcare more efficient, accurate, and accessible. Reducing costs and improving health outcomes are the values health systems and hospitals are trying to deliver to patients every day. Hospitals are increasingly incorporating technologies, which are powered by the use of AI in healthcare to meet the challenge. According to the American Hospital Association (AHA), AI in the healthcare industry has unlimited potential to solve most of the vexing challenges in the industry. They identify AI use cases in the healthcare industry in four broad areas, which are administrative, operational, financial, and clinical areas. Administrative Use Cases for AI in the Healthcare Industry • Admission procedures • Appointment scheduling • Customer service responses • Discharge instructions • Hiring and orientation protocols • Licensure verification • Patient check-in procedure • Prior authorizations • Quality measure reporting Operational Use Cases of AI in the Healthcare Industry • Inventory management • Materials management • Supply chain management • Facilities management Financial Use Cases for AI in the Healthcare Industry • Billing and collections • Claims management • Insurance eligibility verification • Revenue cycle management Clinical Use Cases of AI in the Healthcare Industry • Predictive technologies • Interventional technologies By incorporating and utilizing these scopes with AI in the healthcare industry, the industry can be transformed into a next-gen level in no time. It also allows healthcare practitioners to focus more on patients, which would eventually help in raising staff morale and improving retention. Clinical Decision Support Recent advancements in AI in the health industry are capable of enhancing the currently used clinical decision support (CDS) tools to have value-based imaging and to improve patient safety. According to the National Institute of Health (NIH), the synergy between CDS systems and AI in the healthcare industry will be able to: • Reduce friction in radiology workflows • Identify relevant imaging features easily • Generate structured data to develop machine learning algorithms • Enable an evolution toward decision support for a holistic patient perspective • Suggest imaging examinations in complex clinical scenarios • Assist in identifying appropriate imaging opportunities • Suggest appropriate individualized screening • Aid health practitioners to ensure continuity of care AI in the healthcare industry is competent in making CDS a next-gen one, enhancing the experiences of radiologists and providers, and improving patient care. Diagnostics Slowly but surely, AI is improving almost every aspect of human life with innovations and advancements. The latest is that AI in the healthcare industry is impending a revolution in medical diagnostics by providing accurate risk assessments, accelerating disease detection, and boosting hospital productivity. By automatically prioritizing urgent cases and accelerating reading time, image recognition AI enhances the workflow of radiologists. It even helps in the prevention of diseases by the early detection of diseases. In medical images such as x-rays, MRIs, and CT scans, AI-driven software can efficiently be used to accurately spot signs of many diseases, especially in detecting many chronic diseases such as cancer. According to the NIH, AI will be widely applied in the healthcare industry especially for various tasks such as patient engagement and adherence, diagnosis, and treatment recommendations. So, there is no doubt that AI in healthcare will revolutionize the diagnostic process in the approaching years by detecting diseases, classifying diseases, and improving the decision-making process. The application of AI in the healthcare industry will make people live longer. Triage and Diagnosis AI can be effectively used to automatically triage cases. AI algorithms will analyze the cases and forward cases to pathologists after determining the priority based on the probability of cases according to the criteria set by labs. This makes the workflow of pathologists easier and efficient. Through the process the algorithm will be able to: • Verify the digital images attached to the case belong to that case • Validate the tests ordered and match the specimen type • Identify cases marked as stat • Determine the cases, which can be positive or are most likely to be negative Moreover, AI technologies in the healthcare industry also can be effectively used to provide more accurate and faster diagnoses. This speeds up the entire process of triage and diagnosis and is expected to revolutionize the healthcare industry soon. The Future Outlook for AI in the Healthcare Industry Over the next few years, AI in the healthcare industry has the best opportunities in hybrid models to support clinicians in diagnosis, identifying risk factors, and in treatment planning. This scope will result in faster adoption of AI technology in healthcare, which will show measurable improvements in operational efficiency and patient outcomes. With a plethora of issues to overcome, which are driven by documented factors such as growing rates of chronic diseases and the aging population, it is obvious that the healthcare industry needs new innovative solutions. AI-powered solutions in the healthcare industry will achieve a clear impact on the global healthcare industry in a short time. Frequently Asked Questions Which is the best application of AI in the healthcare sector? Cognitive surgical robotics is the best application of AI in the healthcare sector as it helps practitioners collect data from real surgical processes, which would help in improving existing surgical approaches. Why is artificial intelligence important in healthcare? Artificial intelligence in healthcare is vital as it can help make decisions, analyze and manage data, and have conversations. So, AI will drastically change the everyday practices and roles of clinicians. When was AI-first used in healthcare? The term, Artificial intelligence (AI) was first described in 1950, but the limitations of the term prevented its acceptance. In the 2000s, these limitations were overcome and people started to accept the term.