Posts in Category: analytics

Full-scale adoption of AI still a long way away, new study says 

While the use of clinical and business intelligence tools is on the rise in healthcare, the hype surrounding artificial intelligence is unlikely to lead to full-scale adoption for quite some time, according to a new study by the Healthcare Information and Management Systems Society (HIMSS).

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How near-real time and even retrospective analytics can improve performance  

Retrospective clinical data is essential in the quest to improve outcomes and contain costs, but even more valuable is integrated, near real-time data analytics that illustrate how you compare to other cardiac care centers nationally.

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Healthcare leaders believe predictive analytics will yield significant savings 

More than half of healthcare executives polled in The Predictive Analytics in Healthcare Trend Forecast by the Society of Actuaries expect the use of predictive analytics to shave a significant amount off their organization’s budget. Fifty-seven percent of study respondents believe predictive analytics will save 15 percent over the next five years, with 26 percent expecting savings of more than 25 percent over the same period.

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Posted by Jana Ballinger 09/18/2017 Categories: analytics healthcare analytics

3 ways to get buy-in for predictive analytics tools  

analytics

Predictive analytics promise better outcomes and lower costs—but they can’t deliver if the tools aren’t being fully embraced.

Getting service line leaders and physicians to use predictive analytics is sometimes more difficult than you’d think, even though the National Academy of Medicine says one-third of the U.S. healthcare system’s resources—$750 billion each year—is spent on unnecessary services and inefficient care. So what’s standing in the way of getting buy-in when it comes to the kind of tools specifically designed to reduce wasteful spending?

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Posted by Jana Ballinger 07/18/2017 Categories: analytics health information technology

Why clinical insights eclipse raw data  

analyticsHealthcare providers are realizing that massive amounts of data don't do anyone any good unless this data is distilled into relevant information that improves quality of care and helps contain or reduce costs.

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Posted by Jana Ballinger 06/21/2017 Categories: analytics

Data accessibility viewed as key to closing the gap between value-based care and health IT 

​Although much progress has been achieved in digitizing the healthcare system, today's health IT infrastructure still struggles to support a transition to "value-based care," according to a new report from the American Medical Informatics Association.

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