Working to end variance in cancer care

Health Technology, Digital Healthcare

Article | July 14, 2023

A cruelly ironic truth is that nurses and other caregivers assisting injured and ill patients often wind up injured themselves. In fact, the caregiver profession has among the highest rates of injury, with back injuries being the most common and the most debilitating. Every year, more than 10% of caregivers leave the field because of back injuries. More than half of all caregivers will experience chronic back pain. Most back injuries to caregivers happen when lifting patients from beds or wheelchairs. Injuries can occur instantly, but they can develop over time as well, often without the caregiver’s awareness. For example, the caregiver can sustain disc damage gradually and not feel any pain, and by the time he or she does experience pain, there can already be serious damage.

Healthtech Security

Article | November 29, 2023

Government bodies have organized vaccination drives from the days of paper, pen and file folders. Nations across the globe have successfully run vaccination programs on a large scale. In countries such as India, with the second-largest population, a vaccination campaign to eradicate polio was delivered at specified centers and going door-to-door. India was declared officially polio-free in March 2014. All without technology! Routine vaccination administration has always been either by a scheduled or walk-in appointment. Vaccinating populations for polio, smallpox or similar diseases has always been a part of a multi-year plan for governments.

Health Technology, Digital Healthcare

Article | September 7, 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.

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.