Healthcare organizations are increasingly turning to data analytics to solve their toughest business challenges. As information becomes less siloed, and technology systems do a better job of both generating and sharing data, organizations are seeing the need to more precisely identify patterns to predict patient needs, anticipate resources and improve processes. There is now as much emphasis on making the data work as there was on collecting data, so it can affect change.
Unfortunately,
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Health IT & Digital Health-Opinion | Op-Eds | Guest Columns | Analysis, Insights - HIT Consultant
Can AI Transform Patient Care from Reactive Craft to Strategic Art?
Personalized Analytics is becoming essential in healthcare, stemming from the movement from fee-for-service to a value-based market. The need to preempt and prevent disease on a more personal level, rather than merely reacting to symptoms, has created a significant opportunity for machine learning-based applications. This “analytics of one” approach (using advanced mathematical models and artificial intelligence techniques) is already impacting several key areas:
1. Medical imaging is utilizing
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Paperless Beyond EMRs: 3 Reasons Why Healthcare Should Switch to Online Forms
Electronic medical records (EMRs) introduced a new era of healthcare management. Should healthcare operators want to venture farther, they may need to consider digitizing their internal operations, as well.Hospitals and clinics present extremely complex environments to manage. There is little wonder that manual and piecemeal approaches to everyday operations are no longer sufficient. Many healthcare operators are therefore turning to modern technologies. They can be optimized to make healthcare
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Analysis: Philips’ Evolution to a Pure-play Healthcare Technology Vendor
The last two-to-three years we have seen Philips complete its transformation into a pure-play healthcare technology vendor. It has reduced its interest in its remaining non-healthcare business Philips Lighting/Signify (now owning only a 16.5% share), made 16 healthcare technology acquisitions since the start of 2017 and organized its internal business units into three core healthcare technology segments, Personal Health, Diagnosis & Treatment and Connected Care. A few weeks ago, several of
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How Can Providers Support Meaningful Price Transparency to Address Consumerism in Healthcare?
The word “consumerism” and its derivatives have been tossed around the broader healthcare industry for the greater part of a decade. How we define consumerism and look at consumer behavior in relation to our institutions, systems, and programs seems key to unlocking the door to better outcomes and higher margins. However, in a landscape with more disruption than ever—greater vertical integration, technology, and regulation—we still lack the answer to these fundamental questions: What do patients
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Healthcare’s Uncertain Future: 3 Data-Driven Approaches for Payers
Nine out of 10 healthcare leaders expect disruptive pressures to increase tremendously in the year ahead, according to a recent survey. However, fewer than half believe their organizations are prepared to withstand these forces.
In an era of transformation—in which traditional business models are continually being revamped in response to pressures such as consumerism, policy changes, and the market entrance of non-traditional healthcare players such as Amazon and Apple—payers face daunting
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Revenue Leakage: 3 Methods to Revive Your Charge Integrity Program
Many consider a strong charge integrity program the cornerstone and heartbeat of the revenue cycle. Without an effective charge integrity program, health care providers run the risk of revenue leakage.
According to the Healthcare Financial Management Association, “one percent of net patient revenue is lost due to charge capture errors,” which can add up to multi-millions of dollars for health care organizations. Most providers have not considered or quantified the potential dollars lost when
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Remote Enablement Adoption: The Key to Reshaping Patient Monitoring
The healthcare industry is facing significant pressures around costs and outcomes as it shifts to a value-based care model. To alleviate these concerns, hospitals are looking to technology to help. Over the years, technology has significantly evolved with more connectivity, advanced algorithms and introduction of machine learning and AI. These advancements have greatly improved efficiencies and outcomes in the healthcare industry, yet, along with these benefits, technology also brings a concern
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Can Artifical Intelligence Solve The Chronic Kidney Disease Epidemic?
Chronic kidney disease (CKD) is a growing epidemic worldwide. Currently, there are 850 million individuals suffering from CKD globally, with 40 million in the United States alone. Of these individuals, 96 percent are not aware of having CKD, as kidney disease often exhibits no symptoms until it has progressed to a late stage.
As this epidemic continues to grow, healthcare providers and organizations are working to determine how artificial intelligence (AI) can be used to analyze electronic
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Improving Patient/Member Satisfaction through Nurse Triage Services
Not long ago, viewed members as captive audiences (more or less). Most members obtained their health insurance through their employers or another group and were unlikely to go outside of that option no matter how they actually felt about the health payer. Providers had to be a little more careful since it was easier to change hospitals or doctors, but even then most patients were willing to unquestioningly accept a low level of service as part of the package of obtaining quality healthcare.
Not
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