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Credentialing management helps organizations maintain compliance with regulatory standards set by accrediting bodies, government agencies, and industry regulators. By ensuring that providers meet rigorous standards, organizations can enhance the quality of care delivered to patients, leading to better healthoutcomes and patient satisfaction.
However, for a novel technology characterized by low trust, high disruption, and broad applicability, producing scripted outcomes in a demo that sources mock data is a meaningless exercise. This exercise will frame initial thoughts about requirements for governance. There is no real test of variability.
So, in 2020, HHS, in conjunction with the Office of National Coordinator for Health Information Technology (ONC), issued the “ Interoperability and Information Blocking Rule.” These disincentives withhold money that a provider might have earned under certain federal government incentive or “bonus” programs.
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It is mandatory that devices built to improve healthoutcomes can do so accurately and safely across all intended populations and use cases. It’s now easier than ever to produce an incredibly impressive demo but just as hard (potentially even harder) to build a trusted gen AI product/platform.
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