Protecting Clinical Value Judgment in the Age of AI

Journal Article

Shefali V. Patil, Christopher G. Myers, Tinglong Dai
npj Digital Medicine, vol. 9, 2026 Mar, p. 269

Cite

APA Click to copy
Patil, S. V., Myers, C. G., & Dai, T. (2026). Protecting Clinical Value Judgment in the Age of AI. Npj Digital Medicine, 9, 269. https://doi.org/10.1038/s41746-026-02561-1

Chicago/Turabian Click to copy
Patil, Shefali V., Christopher G. Myers, and Tinglong Dai. “Protecting Clinical Value Judgment in the Age of AI.” npj Digital Medicine 9 (March 2026): 269.

MLA Click to copy
Patil, Shefali V., et al. “Protecting Clinical Value Judgment in the Age of AI.” Npj Digital Medicine, vol. 9, Mar. 2026, p. 269, doi:10.1038/s41746-026-02561-1.

BibTeX Click to copy

@article{patil2026a,
  title = {Protecting Clinical Value Judgment in the Age of AI},
  year = {2026},
  month = mar,
  journal = {npj Digital Medicine},
  pages = {269},
  volume = {9},
  doi = {10.1038/s41746-026-02561-1},
  author = {Patil, Shefali V. and Myers, Christopher G. and Dai, Tinglong},
  month_numeric = {3}
}

Abstract

Adaptive AI systems embedded in clinical decision-making workflows operationalize hidden value tradeoffs at scale, generating distinct liability pressures and constraining clinicians’ ability to weigh and choose among competing value priorities. To redirect attention from technical model design to procurement and implementation accountability, we propose a collaborative framework: federal mandates for standardized transparency via Model Cards, paired with internal, multidisciplinary institutional reviews to deliberate and document value-laden configurations.