Artificial intelligence, to name just one key use case, can help transform healthcare provider organizations’ value-based care journeys by enhancing quality performance and risk adjustment accuracy – ultimately driving better health and financial outcomes. If…
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The Sequoia Project’s Privacy and Consent Workgroup said it reviewed existing consent models and frameworks and other factors that may help providers achieve a state of computable consent – where computers exchange patient information…
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Clinical documentation requirements can be copious and time-consuming. While concurrent documentation is taught and encouraged, it is a skill that takes time to master – and even when done well can cause a clinician…
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For the 89th episode of the CIO podcast hosted by Healthcare IT Today, we are joined by John Lee, MD, FAAEM, FAMIA, FHIMSS, Founder at HIT Peak Advisors and Former CMIO to talk about…
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In a complex, multimodal imaging environment, with radiology and other images and reports scattered across any number of PACS systems and electronic health records, clinical and technology leaders at Cleveland-based MetroHealth had one “guiding…
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Dr. Dorothy Fink, named acting secretary of the U.S. Department of Health and Human Services this week, issued a five-step memorandum to all HHS heads of operating division and staff divisions to curtail outgoing…
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What You Should Know:
– KLAS, a healthcare IT research firm, recently published its “EHR Implementations 2025″ report, based on interviews with 88 respondents from 74 unique organizations. The report identifies several services firms that…
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As health systems move artificial intelligence deployments to higher stakes use cases, the Trustworthy Responsible AI Network, or TRAIN, was formed to address the need for responsible AI in all aspects of healthcare, from…
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RapidAI is improving clinical workflows by creating AI tools designed with radiologists and clinicians in mind.In this interview with Healthcare IT Today, Amit Phadnis, Chief Innovation & Technology Officer at RapidAI, shares the company’s…
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While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.These were the results of a recent study…
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