Who Owns Arthroplasty Data?

Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contemporary procedures generate granular operative metrics that are increasingly linked to longitudinal outcomes, benchmarking systems, predictive analytics, and artificial intelligence algorithm development. Yet governance structures defining analytic access, publication rights, secondary data use, and transparency to patients remain incompletely articulated. Surgeons generate operative data, but vendors frequently warehouse and structure these data sets within proprietary ecosystems, while registry governance and contractual agreements may influence analytic access and dissemination. These challenges extend beyond privacy concerns. Arthroplasty data sets increasingly inform quality measurement, reimbursement models, public reporting, and future algorithm development. Without clear governance standards, control over data stewardship, analytic framing, and scientific dissemination may progressively shift away from practicing surgeons and patients. This Viewpoint article examines emerging governance-related challenges within arthroplasty data ecosystems and proposes a framework centered on transparency to patients, data portability, publication protections, and independent oversight. The goal is not to impede innovation, but to ensure that the expanding digital architecture of arthroplasty evolves within transparent, ethically grounded, and academically independent governance structures.

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Publication Details

Journal
Journal of Bone and Joint Surgery
Published
2026-07-28
DOI
https://doi.org/10.2106/jbjs.26.00333
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Who Owns Arthroplasty Data?

Ahmed Siddiqi, Paul Jacob, Khalid M. Yousuf
Journal of Bone and Joint Surgery
Artificial Intelligence in Healthcare and Education
article

Who Owns Arthroplasty Data?

Ahmed Siddiqi, Paul Jacob, Khalid M. Yousuf
article en

Abstract

Robotic platforms, proprietary registries, and advanced analytics have transformed total joint arthroplasty into a data-intensive subspecialty. Contemporary procedures generate granular operative metrics that are increasingly linked to longitudinal outcomes, benchmarking systems, predictive analytics, and artificial intelligence algorithm development. Yet governance structures defining analytic access, publication rights, secondary data use, and transparency to patients remain incompletely articulated. Surgeons generate operative data, but vendors frequently warehouse and structure these data sets within proprietary ecosystems, while registry governance and contractual agreements may influence analytic access and dissemination. These challenges extend beyond privacy concerns. Arthroplasty data sets increasingly inform quality measurement, reimbursement models, public reporting, and future algorithm development. Without clear governance standards, control over data stewardship, analytic framing, and scientific dissemination may progressively shift away from practicing surgeons and patients. This Viewpoint article examines emerging governance-related challenges within arthroplasty data ecosystems and proposes a framework centered on transparency to patients, data portability, publication protections, and independent oversight. The goal is not to impede innovation, but to ensure that the expanding digital architecture of arthroplasty evolves within transparent, ethically grounded, and academically independent governance structures.

Journal of Bone and Joint Surgery
Colorado Joint Replacement (US), Oklahoma Blood Institute (US), Baylor Scott & White Health (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 12%
Artificial Intelligence in Healthcare and Education
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