Midwest PSHP Reduces Admissions by 63% with Prescriptive AI

Avoidable admissions account for over $33 billion in hospital costs every year.

It’s estimated that 12.9% of all inpatient admissions could be avoided with early preventive care. But directing the right resources to the right patients at the right time can be a challenge, particularly for health systems with hundreds of thousands of patients to manage. Nevertheless, a Midwest health system with 2.4 million patients found success in reducing admissions by using clinical AI to target outreach to patients at risk. By leveraging data on socioeconomic and behavioral risk factors, the AI revealed patients at risk that care teams would otherwise miss. And unlike traditional predictive analytics, Jvion’s prescriptive clinical AI recommended the actions that would most effectively reduce patients’ risk for avoidable admissions.


  • Download the impact story to learn how the Jvion CORE™ helped reduce the rate of admissions by 63% in a matched-control study, saving the provider-sponsored health plan (PSHP) $528 for every successful patient outreach.

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