Machine learning-enabled decision support helped this program integrate a 12-month mortality risk model into clinical workflows, reducing in-hospital mortality and healthcare costs while increasing palliative care utilization. Outcomes data show an 84% increase in palliative care referrals and a 14% decrease in in-hospital mortality among advanced cancer patients.
