Health Technology, Digital Healthcare
Article | August 21, 2023
Health technologies range from devices, systems, and procedures to vaccines and medications that help deliver high-quality care, reduce costs for hospitals and patients, and streamline operations. It can be any software or IT tool that improves administrative productivity, eases workflow, and enhances the quality of life.
New technology in healthcare includes supportive, educational, information, organizational, rehabilitative, therapeutic, preventive, and diagnostic solutions that improve patient access and healthcare provider capabilities. Virtual concierge, artificial intelligence, voice search, and virtual and augmented reality are promising emerging technologies for 2021.
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Digital Healthcare
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.
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Health Technology, Digital Healthcare
Article | September 8, 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 $50 co-pays anymore; it’s thousands of dollars per transaction. If necessary, providers can also help the patient plan for the expense, offering financing options, thus reducing unpaid bills. For the patient, it allows more informed decision-making and peace of mind.
Testing the beta version of our Care Cost Estimator with our partners will allow us to receive real-world feedback and collaborate with customers on how to continuously improve the product as we scale it. We expect the ROI for providers, in addition to the payment-cycle improvements, will include greater patient satisfaction and loyalty. For the patient, it provides information necessary to help make proper decisions and plan emotionally and financially; in other words, giving the consumer the same information for vital healthcare transactions that’s available to them for practically any other purchase.
This kind of win-win solution is at the core of Change Healthcare’s mission to improve the healthcare experience for everyone—including my husband and his broken toe!
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Health Technology
Article | August 12, 2022
Introduction
Over the past couple of years, there has been a substantial rise in the burden of chronic conditions and treatment costs, along with the growing elderly population, which is transforming the healthcare sector at a rapid pace. As per a study, healthcare spending across the globe is anticipated to reach an unprecedented value to total US$ 18.3 trillion by 2030. In response to these trends, volume-based payment models are being replaced by outcome- or value-based models.
Predictive analytics helps health organizations to get in line with these new models and improve patient care and outcomes. From predicting critical conditions such as heart failure and septic shock to preventing readmissions, the recent advancements in big data analytics are boosting the adoption of new predictive analytics solutions that aid clinicians improve outcomes and cut costs.
Predictive analytics in healthcare is most helpful with clinical care, administrative tasks, and managing operations. More importantly, the technology is already making a difference in a wide range of healthcare settings, from small private doctor's offices and large academic hospitals to healthcare insurance companies.
How is Growing Healthcare Data Favoring the Penetration of Predictive Analytics?
The growing inclination toward digitalization in the healthcare industry has led to the creation of huge new data sets. These include radiology images, electronic medical record (EMR) systems, lab results, and health claims data. The amount of data is expected to reach new avenues with increasing genomics and cytogenesis research data in the near future.
New data is being generated and collected by the novel medical devices at the edge, such as monitors and patient wearables. In addition, outside the healthcare setting, patients are generating quasi-health data through the use of health monitoring applications, fitness trackers, and personal wearable devices.
By using data from these sources, health care providers can find new ways to use predictive modeling for health risks, predictive analytics for medical diagnosis, and prescriptive analytics for personalized medicine.
Predictive analytics has become a crucial component of any strategy for health analytics. Today, it's an essential tool for measuring, combining, and making sense of biometric, psychosocial, and behavioral data that wasn't available or was very hard to get a hold of until recently. Here are some of the applications of predictive analytics for healthcare
Identifying Patients at Risk
Clinical Predictions
Disease Progression and Comorbidities
Predicting Length of Stay
Speeding Treatment of Critical Conditions
Reducing Readmissions
The Future Story
With the growing prominence of innovative technologies across the healthcare industry, a number of health IT providers are focusing on developing their own analytics software and engines to assist healthcare spaces deliver optimal patient care.
For instance, in 2020, Eversana, a U.S.-based provider of innovative solutions to the life sciences industry, announced the introduction of its ACTICS predictive analytics solution, which enables clinical spaces to combine multiple data sources into a single comprehensive system.
Also, some U.S. companies are partnering with healthcare institutions to develop proprietary algorithms designed to enhance organizational performance, improve clinical care, and increase operational efficiency. Such developments are projected to increase the popularity of predictive analytics solutions in the healthcare sector in the coming years.
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