Christian Pean

Dr. Christian Péan is faculty in the Department of Orthopaedic Surgery at the Duke University School of Medicine, where he serves as Executive Director of AI & IT Innovation. He also holds a secondary appointment as core faculty at the Duke‑Margolis Institute for Health Policy. An orthopaedic trauma surgeon, Dr. Péan’s clinical expertise spans fracture care and arthroplasty for fracture care, with a focus on shoulder procedures, total hip replacement for fracture and post‑traumatic hip arthritis, and the management of complex traumatic conditions including proximal humerus fractures, humerus nonunion, periprosthetic fracture fixation, and pelvis/acetabulum reconstruction.

Dr. Péan’s research addresses critical issues in orthopaedic surgery and health policy, with over 80 peer‑reviewed publications across artificial intelligence, public health, ethics, and surgical technique in orthopaedic trauma. His work leverages AI, data science, policy design, and clinical care transformation to address population health and value-based care in musculoskeletal care. A central thread of his scholarship integrates machine learning and large language models into risk prediction and care coordination to improve surgical outcomes. He has led system‑level efforts to screen for social drivers of health and coordinate resources for patients facing housing instability, transportation barriers, and food insecurity. He also develops and implements LLM‑based technologies that improve clinician workflow, and enhance patient engagement—core elements of population health focused, value‑based specialty care. Dr. Péan is active in policy advocacy and population health, with interests in specialty care alternative payment models.

A physician‑innovator, Dr. Péan is the Founder and CEO of RevelAi Health, a health technology company advancing the transition to value‑based care in musculoskeletal health with conversational AI. Built by clinicians and policy experts, RevelAi Health is designed to improve patient outcomes while combating clinician burnout through AI‑enabled care coordination.