08/01/26

“Check Symptoms & Get Care”: Mount Sinai’s AI triage solution.

Naved, Bilal A; Tran, Minh; Slott, Quintan M; Francaviglia, Paul; Amygdalidis, Michael; Crandall, Phyllis; Nadkarni, Girish; Freeman, Robert; Luo, Yuan; Gavin, Nicholas. NEJM Catal Innov Care Deliv.

Summary

Inappropriate resource use, such as emergency room for primary care needs, can contribute to fragmentation and diagnostic delays. This case study describes a single-center Epic-integrated AI triage tool implementation in New York which combines AI with an "expert authored rules engine." The effort completed 22,000 sessions with 88%–96% concordance with blinded physician review and reportedly zero safety adverse events.—demonstrating safe, usable, clinically reliable navigation. The authors provide implementation recommendations based on their experience.
Naved BA, Tran M, Slott QM, et al. “Check symptoms & get care”: Mount Sinai’s AI triage solution. NEJM Catal Innov Care Deliv. 2026;7(8):CAT250394.