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Preventing hospital readmissions with the help of artificial intelligence

The University Health System’s data science team is developing predictive models using artificial intelligence, competing in a national challenge to reduce hospital readmissions.

The University Health System’s data science team recently advanced to the next stage of a nationwide competition to apply artificial intelligence to hospital readmissions, a persistent and costly issue. Sponsored by the Centers for Medicare and Medicaid Services, the inaugural Artificial Intelligence Health Outcomes Challenge initially received hundreds of applications. CMS chose only 25 submissions, the University’s among them, to execute their proposed strategies.

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