What You Should Know
The Crisis: A new Harris Poll/Surescripts survey reveals that 56% of U.S. patients face challenges filling prescriptions, with 25% abandoning medication entirely due to cost.The Gap: Despite high digital literacy, only…
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The RADV expansion isn’t the real story. Neither is V28.
The real story is what happened when both arrived simultaneously—and exposed a truth the industry had been quietly ignoring: the AI that powered risk adjustment…
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What You Should Know
– ProPublica has released Rx Inspector, a first-of-its-kind database that allows Americans to identify the exact facility where their generic prescriptions were manufactured.
– By connecting disparate FDA databases and suing for…
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Mike Levin, General Counsel and Chief Information Security Officer at Solera Health
Healthcare has become a uniquely complex and high-risk digital environment. Most organizations deal with a patchwork of legacy systems, cloud migrations, and evolving third-party…
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As we peer into the healthcare horizon of 2026, a singular theme crystallizes among industry leaders: the transition from aspirational innovation to operational necessity. The executive predictions for the coming year depict a sector…
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I'm a firm believer that that gut feeling, that first instinct that you have, sometimes you might not have all of the data to support it because your brain, just like a machine learning…
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What You Should Know:
– A new market survey from Carta Healthcare reveals that hospital leaders are overwhelmingly rejecting fully autonomous AI in favor of “hybrid intelligence” models that pair technology with clinical expertise.
– With…
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What You Should Know:
– Valinor has launched with $13M in seed funding to tackle one of the pharmaceutical industry’s most expensive challenges: clinical trial failure led by CRV and Harpoon Ventures.
– The company uses…
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Artificial intelligence-enhanced electrocardiogram (AI-ECG) models have shown outstanding performance in diagnostic and prognostic tasks, yet their black-box nature hampers clinical adoption. Meanwhile, a growing demand for explainable AI in medicine underscores the need for…
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Artificial intelligence models analyzing speech show remarkable promise for identifying cognitive decline, achieving performance comparable to clinical assessments. However, their “black box” nature poses significant barriers to clinical adoption, as healthcare professionals require transparent…
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