Years ago, you’d ask your doctor during his house call, “What’s in your black bag?” and you’d get to peek inside.Old Faithful: The Medical “Black Bag”Now that MD has been replaced by a telehealth practitioner who arrives by video. And the “black bag” is virtual, attracting many providers and executives who are beginning to use it. It’s harder to peek in, but a more relevant question is, “How will the new technologies inside drive value-based care for providers and health plan payers alike?”It
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How NLP Is Unlocking Data Driven Insights for Radiologists
This post is sponsored by SyTrue
When healthcare executives gather these days, discussion quickly turns to growing data volumes, ways to extract patient data across the spectrum of care, and tools for gaining insights from data. These familiar issues are driven by new “value-based” (versus “volume-focused”) shifts launched throughout healthcare in the past decade.
For radiology executives, the “value-based” environment also breeds pressures from falling reimbursements. To change
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Why Unstructured Data Holds the Key to Intelligent Healthcare Systems
This post is sponsored by SyTrue
As the brawn of big data continues to swell, the quandary of actually realizing value from it rises with the tide; part of the problem is that most data remains largely untapped because most data remains largely unstructured. For try as technology vendors might—the subtleties of clinical data are innately complex—and natively human.
Cross-industry consensus illustrates that approximately 80 percent of all data remains unstructured. In healthcare,
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