The fast-growing need for oversight of AI in healthcare

The fast-growing need for oversight of AI in healthcare

An emerging best practice for healthcare boards may be to fill at least one board seat with a person experienced in overseeing AI consumer products, says a Berkeley Research Group expert. With artificial intelligence starting to proliferate in healthcare, and getting a lot of attention thanks to recent developments like ChatGPT, it's becoming critical that healthcare provider organizations understand the risks that come with AI and the subsequent need for oversight. Thomas F. O'Neil III is managing director at Berkeley Research Group and previously Cigna’s chief compliance officer. He is an expert in compliance and AI issues. AI-backed reimbursements are model-enabled reimbursement amounts that leverage large volumes of data to predict the expected payment. An example could be CMS switching Medicare’s fee-for-service methodology to use an algorithm and automate its rate-setting based on historical claims data.

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Including an individual with AI consumer product oversight experience on healthcare boards is becoming an emerging best practice. As AI becomes more prevalent in healthcare, understanding its risks and ensuring proper oversight is critical. Thomas F. O'Neil III, a compliance and AI expert at Berkeley Research Group, notes that AI-backed reimbursements using historical claims data are one example of the technology's impact. This includes automating rate-setting and predicting payment amounts. To maximize benefits and minimize risks, healthcare providers need to engage AI oversight experts and implement robust governance mechanisms.



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