Health Technology, AI
Article | July 18, 2023
With consumers’ share of healthcare costs expanding, we need to do a better job making charges more transparent and more predictable
My husband recently stubbed his toe. Badly. Badly enough that I encouraged him to go see a doctor. He was reluctant. While I suspected he’d rather just garner sympathy by complaining to me while limping around the house (just kidding, honey), his stated reason was all too familiar: “I have no idea what we’ll have to pay. They’ll want to do anX-ray,it might need surgery, and I have no idea what it’ll cost.” All true. We have good health insurance; but like most Americans, when we go to the doctor or have a procedure, what we will actuallyhave topay out of pocket remains a mystery.This is something that we can and should change.
As consumers we are shouldering more and more of the cost of healthcare. And the biggest increases are for those of us with employer-sponsored plans. According to an analysis of federal data by the Commonwealth Fund,deductibles in employer plans more than doubled between 2008 and 2017, from $869 to $1,808. Especially troubling, an accompanyingCommonwealth Fund survey revealed that only 62% of adults were very or somewhat confident in their ability to afford healthcare.
This increasing burden is also evident when you look at the crushing levels of medical debt in the United States. According to a new studyby JAMA, medical debt is now the largest contributor to personal debt. And the data for this study was collectedbeforethe COVID-19 pandemic.
Some of this debt is driven by unpredictability—if the heart procedure you needed costs several thousand dollars more out of pocketthan you thought it would, you may not be prepared, emotionally or financially, to pay it. This is a bad outcome, obviously. The risk of nonpayment rises for the provider; and a recuperating patient is burdened with the stress of a large,unexpected bill.
More skin in the game
Soas consumers are paying more out of pocket, some may become reluctant to seek care (like my husband) or seek more information about what they willhaveto pay for the care they receive. Consumers are also armed with incredible levels of price transparency with other products—everything from hotel rooms to clothing to household items. With so much skin in the game, and the internet providing so much information, consumers’ expectations are changing when it comes to healthcare.
State and federal regulators are also beginning to take action, a trend that will likely accelerate. Most hospitals are now required to publicly disclose the prices they charge. This does not, however, solve the issue for consumers. While it provides a measure of visibility into pricing for insurance companies, Medicare, and Medicaid, it doesn’t show what share the patient will ultimately pay.
Making the complicated simple
The complexity of pricing in healthcare is well documented. Niall Brennan, CEO of the Health Care Cost Institute, a nonprofit that analyzes medical costs, suggests that healthcare costs are too high.As a recent Wall Street Journal article reported, a price of a C-section varied from $6,241 to$60,584 at one hospital. This all has to do with the vagaries of the agreements that hospitals sign with multiple insurance companies and government payers. In turn, each insurance company will have its own deductible and out-of-pocket schedules, which providers don’t have access to.
We are seeking to change this at Change Healthcare. We are piloting our Care Cost Estimator with a few innovative providers. With the Care Cost Estimator, weleverage our unique dataset, and the largest eligibility network in the industry, to make the unpredictable, predictable.Because we’ve managed 15 billion healthcare transactions—and our network covers 1 million physicians, 6,000 hospitals, and 2,400 payers—we have an unmatched ability to analyze what real-world patients are paying for practically any procedure, performed at almost any hospital or clinic.
With a cloud-based transaction engine, providers will now be able to tell their patients how much they will have to pay out of pocket for a given procedure.And this analysis takes place in real time.
Removing unpredictability in pricing
This gives providers the opportunity to offer added value for their patients, taking some unpredictability out of whatis often a stressful transaction. In addition, it accelerates patient payment cycles which, as the patient’s share of the cost burden increases, is becoming more and more important. We’re not talking $50 co-pays anymore; it’s thousands of dollars per transaction. If necessary, providers can also help the patient plan for the expense, offering financing options, thus reducing unpaid bills. For the patient, it allows more informed decision-making and peace of mind.
Testing the beta version of our Care Cost Estimator with our partners will allow us to receive real-world feedback and collaborate with customers on how to continuously improve the product as we scale it. We expect the ROI for providers, in addition to the payment-cycle improvements, will include greater patient satisfaction and loyalty. For the patient, it provides information necessary to help make proper decisions and plan emotionally and financially; in other words, giving the consumer the same information for vital healthcare transactions that’s available to them for practically any other purchase.
This kind of win-win solution is at the core of Change Healthcare’s mission to improve the healthcare experience for everyone—including my husband and his broken toe!
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Health Technology, Digital Healthcare
Article | July 14, 2023
Workers in the healthcare industry are among the most burned out demographics following the COVID-19 pandemic. In fact, a report by Medscape on physician burnout and depression in 2022 calculated a five-percentage point increase in burnout overall, from 42% in 2020 to 47% in 2021. Critical care physician burnout was also found to increase from 44% to 51% last year, placing them at the top of Maryville University’s list of physician specialties with the highest cases of burnout. This is closely followed by rheumatology physician burnout, which was 50% in 2021. At the bottom of the list, emergency medicine physician burnout still came in close at a rate of 44%.
Burnout can result in, among other things, exhaustion and a loss of concentration, which can be dangerous in healthcare. With that, advancements in technology have been made to help mitigate stress and reduce the chances of burnout in healthcare.
Maximum Tasks, Minimum Efficiency
Reports show that many technological advancements in the healthcare industry actually aren’t appropriate for managing physician workloads. This is due to the range of tasks physicians need to perform, from creating treatment plans to managing EHRs. Our previous discussion on EHR-Generated Messages highlighted how the misapplication of this algorithm had actually led to these inboxes getting clogged. This has primary care physicians spending more than half their workday interacting with EHRs that only remind physicians to order certain tests, instead of dealing with critical messages from patients or colleagues. This has been counterproductive in terms of efficiency, leading to more burnout symptoms and the tendency to reduce clinical work hours. It is therefore important that technology integrations consistently consider the broader picture of the tasks of physicians.
Tech Developments for Reducing Burnout
Shifts in the industry have thus begun to focus on the quality of efficiency and physician assistance, rather than the quantity of technology available. Here are some notable examples of technology that has become finely integrated within the healthcare industry.
Ambient Technology in Clinical Documentation
Ambient computing streamlines the clinical documentation process by using artificial intelligence to respond to human behavior and needs. This provides front-end speech and computer-assisted documentation, reducing the time needed for physicians to work on admin tasks, and thereby minimizing burnout. Smart hospitals have started leveraging this through sensor-based solutions, and experts from Michigan University believe usage must be made easier and simpler to use for the provider if the healthcare industry is to further leverage ambient computing for CDI. As of 2021, adoption has only started to take off, especially in the revenue cycle.
Computer Modeling in Vaccine Development
The traditional process of designing novel vaccines usually lasts 10 to 15 years and can cost between $200 million and $500 million. However, a feature by News Medical highlights the recent development of COVID-19 vaccines, which uncovered the capabilities of computational modeling systems. This showed an ability to predict which parts of a pathogen may be recognized by the immune system’s B cells and T cells. This allows rapid identification of vaccine targets from a genetic sequence, which reduces the years required for preclinical research. Physicians are thus able to respond faster to vaccine developments, and reduce the overload of health systems during any future pandemics or epidemics in the long term.
Patient Placement Technology
The shortage of physicians is a common setback in the industry, one that staff at the Rice County District Hospital in Lyons, Kansas mitigated using patient placement technology. Patient placement technology coordinated care for patients inside the 25-bed, level 4 hospital, as well as those needing to be transferred to another facility. By integrating local EMS and other transport services with health systems, manual telephone calls were no longer necessary. Hence, physicians were able to quickly and effectively get patients the care they needed while managing time-critical diagnoses. This maximizes the limited resources available without stretching out the workforce. Physicians are able to focus solely on their patients, knowing that the time-consuming logistics are being efficiently handled by technology. The industry needs to continue to look into the practices of reducing burnout among physicians, more so as we continue to recover from the effects of the COVID-19 pandemic. By emphasizing physician wellness and efficient technology, we can continue to assure the health and productivity of healthcare workers into the future.
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Healthtech Security
Article | November 29, 2023
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.
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Health Technology
Article | December 8, 2022
Contents
1. Knowing The Basics
2. Importance Of EHR In A Rural Setting
3. Features That An EHR Must Have In A Rural Area
Today, we will discuss the crucial featuresof electronic health records (EHR) in rural hospitals. However, before listing out the key components, let us first understand what EHR is and how it can help the smooth functioning of medical treatment in a rural setup.
1. Knowing the Basics!
As the name suggests, an electronic health record is a computer file that stores a patient’s medical history, such as diagnosis, treatment, test results, etc. In short, an EHR is a digital version of a patient’s paper health record. It also includes previous appointments, billing details, and other general documentation. The need for an EHR popped up due to its easy and secure availability compared to patients' paper files. In addition, patients and doctors can easily access lab reports through an EHR that is updated in real-time and downloaded on any device with an internet connection.
2. Importance of EHR in a Rural Setting!
Healthcare Information and Management Systems Society (HIMSS) defines EHR usability as “The effectiveness, efficiency, and satisfaction with which specific users can achieve a specific set of tasks in a particular environment.' In essence, a system with good usability is easy to use and effective. It is intuitive, forgiving of mistakes, and allows one to perform necessary tasks quickly, efficiently, and with a minimum of mental effort.”
A patient's electronic health records can be beneficial in an era of digitization. It can improve patient care by minimizing the chances of medical errors, reducing test duplication, and making doctors and patients well-informed by fetching medical records anytime, thereby reducing delays in treatment.
3. Features That an EHR Must Have in a Rural Area
EHRs can prove beneficial in all areas situated far off by accessing the real-time, up-to-date data of patients’ health records and making timely decisions. When the distance between the clinics and specialists is more, an EHR report can easily be sent to look into a patient’s history before delivering treatment.
In a rural setup, EHR helps promote health awareness as patients' data can be monitored without needing to be physically present. Software-as-a-Service (SaaS) Solutions can be easily deployed in places with slow internet and help maintain a lightweight EHR that can support immediate patient care and easy documentation.
Next comes the option of configuration over coding. At the Rural Health Clinic (RHC), an EHR that the local IT team can handle would be of more use than one that may require a specialist’s check or additional coding. An EHR, equipped with the ability to configure and customize as per the clinic’s workflow, will give more control to the RHCs and enable them to function efficiently.
Another significant point of an EHR in a Rural Health Clinic will be the inclusion of applications that support instant communication, like Telehealth and patient portals. These applications enable direct consultation and virtual care of patients and specialists located far off, thereby reducing the dependency of RHCs on city or urban-based facilities.
When we are discussing rural hospitals, we need to look for an application that is both affordable and functional, as rural areas mostly struggle with problems regarding budget and resources. Hence, keeping this in mind, RHCs should install a cloud-based EHR that does not require buying servers or employing IT staff.
RHCs must use an EHR application with innovative analytic tools to access and develop reports for quick patient care decisions. In addition, the system must be able to pull large chunks of data and generate reports daily.
Enjoyed reading this? Want to read more related articles? Click the link for more information!
https://healthcare.report/trending-news/electronic-health-records-ehr-software-market-2019-foreseen-to-grow-exponentially-by-2026
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