Mayo Clinic and Bayesian Health Create AI Tool for Early Palliative Care Identification

Mayo Clinic and Bayesian Health announced in a press release that they have co-developed an artificial intelligence solution to identify hospitalized patients who may benefit from palliative care earlier in their stay. The system is designed to support timely consultations and reduce non-beneficial readmissions among patients with serious illness.

The AI tool, built on Bayesian Health's clinical intelligence platform, integrates directly into the electronic health record to provide clinicians with patient-specific insights within their workflow. It helps care teams recognize unmet palliative needs such as pain management or caregiver support and facilitates coordination with specialists.

In a randomized clinical trial at Mayo Clinic, use of the system was associated with a 44 percent increase in timely palliative care referrals, a 25 percent reduction in 60-day readmissions, and a 28 percent reduction in 90-day readmissions. The tool continuously learns from clinician feedback and local patient data to improve accuracy over time.

This collaboration, developed under Mayo Clinic's Practice Transformation Ventures framework, marks the first use of AI across the entire care process in a complex hospital setting at the institution.