Leveraging Artificial Intelligence and Digital Health to Address Health-Related Social Needs and Optimize Risk-Based Value in Orthopaedic Surgery.

Abstract

As the health care landscape evolves toward value-based care and emphasizes health-related social needs, the importance of developing health policies and digital health solutions that foster health equity and risk-based reimbursement strategies has grown. Orthopaedic surgery, catering to a diverse patient population but challenged by a lack of workforce diversity, encounters distinct opportunities and obstacles in adopting digital health technologies for delivering equitable, high-value care. The integration of health-related social needs into the emerging value-based care model and risk-based reimbursement policies is important. Furthermore, the potential of incorporating robust artificial intelligence governance and big data analytics to enhance patient outcomes and support orthopaedic surgeons in treating their patient populations should be studied. There are crucial considerations for creating comprehensive digital health platforms tailored for orthopaedic surgery, and the significance of specialty-specific advocacy and collaboration among clinicians, policymakers, and MedTech companies cannot be understated.

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