May 20, 2026 – Mayo Clinic and Bayesian Health announced they have co-developed an artificial intelligence (AI) solution to identify hospitalized patients who may benefit from palliative care earlier in their stay.
The solution is designed to support timely consultations, with the objective of improving goal-concordant care for patients with serious illness and reducing non-beneficial readmissions. The companies have built a solution that they say identifies patients with unmet palliative care needs earlier and equips clinicians with the context they need, within their workflow, to navigate the complex conversations and care coordination that follows.
In a randomized clinical trial conducted at Mayo Clinic, validated findings from an earlier version of the program demonstrated that use of the tool was associated with a 44% increase in timely palliative care referrals, a 25% reduction in 60-day readmissions and a 28% reduction in 90-day readmissions, along with improved patient quality of life.
This is the first collaboration of its kind at Mayo Clinic to use AI across the entire care process in a complex hospital setting, helping its care teams spot unmet needs earlier, connecting the patient with the right specialists at the right time, while keeping the patient’s health information coordinated but confidential for an overall improvement in care.