Research Study: Implementation of Artificial Intelligence-Based Clinical Decision Support to Reduce Hospital Readmissions at a Regional Hospital

Readmission rates are a key benchmark for a hospital’s care quality, and as a result are directly tied to reimbursement in value-based care models. However, hospitals are still struggling to reduce their readmission rates: in 2020, nearly half of America’s hospitals were fined by the Centers for Medicare & Medicaid Services for high readmission rates. Fortunately, research suggests up to 75% of readmissions can be prevented or reduced in severity with the right interventions. Prescriptive clinical AI can give care teams insight into the patients with an avoidable risk for readmission and the patient-centric interventions that can prevent it. 

A recent peer-reviewed study published in Applied Clinical Informatics found that Jvion’s clinical AI CORE™ reduced readmission rates at a regional Wisconsin hospital by 25% over 6 months.

  • Download the full study to learn how clinicians applied Jvion’s AI-powered care recommendations and insights on social determinants of health to prevent readmissions.

  • We respect your privacy.
  • This field is for validation purposes and should be left unchanged.

© Georg Thieme Verlag KG

Get in Touch

  • 470-427-2900, 3965 Johns Creek Court, Suite 100, Suwanee, GA 30024
  • This field is for validation purposes and should be left unchanged.