regulation
New rules demand transparency into health AI
The Biden Administration is laying down a new law in health AI. Starting in 2025, electronic health record vendors who supply predictive models to health systems will have to disclose details about how they were developed, tested, and trained.
The new rules from the Office of the National Coordinator for Health Information Technology are designed to put guardrails around a new generation of machine learning tools gaining rapid adoption in hospitals nationwide. Specifically, EHR vendors such as Epic and Oracle-Cerner will have to disclose the contents and sources of training data, explain how their models were tested, and enumerate steps taken to identify and control risks. The rule, in all its glory, is 912 pages. Thankfully, STAT's Casey Ross has written a story to help you make sense of the most important aspects of it.
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digital therapeutics
Bankrupt Pear's addiction treatments sold again
Half a year after selling its assets at a fire sale bankruptcy auction, Pear Therapeutics' most significant digital treatments will find a new life as part of PursueCare, which provides online addiction care and mental health counseling. The company hopes to build a business model around the apps where Pear failed.
CEO Nick Mercadante told me that while PursueCare faces many of the same challenges as Pear, it's got more flexibility because it doesn't need to find a way to make buckets of money on the apps fast. PursueCare didn't spend hundreds of millions of dollars developing the products and has existing lines of care and pharmacy businesses it expects to be profitable soon. Plus, its current businesses can help grease the wheels of adoption and payment where Pear was always reliant on the goodwill of others.
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denied by ai
Humana sued over care denying algorithm
A group of Medicare Advantage patients are suing Humana alleging the insurer illegally used an algorithm to cut off rehabilitation care to seriously ill patients. It is the second class action lawsuit filed following a STAT investigation into the algorithm.
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