About
Allyson Stone is a physician executive whose work spans clinical informatics, health policy, and AI in medicine. She is a Biodesign AI Fellow and MS candidate in Data Science in Biomedicine at UCLA. Through her firm, Stone Consulting LLC, she partners with health systems in executive informatics roles, most recently serving as Interim Chief Medical Information Office at Care New England, where she led AI governance, deployment of Epic generative AI tools, and implementation of Abridge ambient AI. She also consults directly with Epic on physician build, with a focus on perioperative workflows and outcomes, and has supported implementations at more than 30 health systems, including May Clinic, Memorial Sloan Kettering, and Baylor Scott & White. Allyson trained in general surgery, anesthesiology, and critical care at Dartmouth-Hitchcock Medical Center. After her team took first place in the Surgical Outcomes track at the 2019 MIT Grand Hack, she expanded her work with early-stage health technology companies and currently serves as a Mass Challenge judge and mentor. Her research focuses on error and improving patient outcomes through the responsible use of AI, including machine learning models to predict perioperative hemodynamic instability. She earned her MD from the University of Utah and holds prior MS in Evaluative Clinical Sciences from the Dartmouth Institute of Health Policy & Clinical Practice.