Artificial Intelligence in Value-Based Health Care.

Journal: HSS journal : the musculoskeletal journal of Hospital for Special Surgery
Published Date: May 28, 2025

Abstract

Artificial intelligence (AI) presents new opportunities to advance value-based healthcare in orthopedic surgery through 3 potential mechanisms: agency, automation, and augmentation. AI may enhance patient agency through improved health literacy and remote monitoring while reducing costs through triage and reduction in specialist visits. In automation, AI optimizes operating room scheduling and streamlines administrative tasks, with documented cost savings and improved efficiency. For augmentation, AI has been shown to be accurate in diagnostic imaging interpretation and surgical planning, while enabling more precise outcome predictions and personalized treatment approaches. However, implementation faces substantial challenges, including resistance from healthcare professionals, technical barriers to data quality and privacy, and significant financial investments required for infrastructure. Success in healthcare AI integration requires careful attention to regulatory frameworks, data privacy, and clinical validation.

Authors

  • Romil Shah
    Department of Orthopedic Surgery, Cedars Sinai Medical Center, Los Angeles, CA, USA.
  • Kevin J Bozic
  • Prakash Jayakumar
    P. Jayakumar, UK Harkness Fellow in Health Care Policy and Practice Innovation, Value Institute for Health and Care/Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA. M. L. G. Moore, Value Based Care Fellow, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA K. J. Bozic, Chair, Department of Surgery and Perioperative Care, Dell Medical School at The University of Texas at Austin, Austin, TX, USA.

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