Prevention of Bias and Discrimination in Clinical Practice Algorithms
Abstract
This Viewpoint discusses a proposed DHHS rule to address discrimination in clinical algorithms and the need for additional considerations to ensure the burden of liability for biased algorithms is not disproportionately placed on health care professionals.
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More recent research has highlighted the potential presence of skin pigmentation biases in research-grade and consumer PPG-based wearable devices.
“More recent research has also highlighted the potential presence of these biases in research-grade and consumer PPG-based wearable devices [4,27-29]”
From Impact of skin pigmentation on pulse oximetry blood oxygenation and wearable pulse rate accuracy: systematic review and meta-analysis (2024) · cites this paper as [28]
Cites
Trustworthy Augmented Intelligence in Health Care
Crigger, E., Reinbold, K., Hanson, C., Kao, A., Blake, K., & Irons, M. (2022) · Journal of Medical Systems · doi:10.1007/s10916-021-01790-z · Cited by 132 · see citing works
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AI-Generated Medical Advice—GPT and Beyond
Haupt, C. E., & Marks, M. (2023) · JAMA · doi:10.1001/jama.2023.5321 · Cited by 346 · see citing works
Automation Bias and Assistive AI: Risk of Harm From AI-Driven Clinical Decision Support
Khera, R., Simon, M. A., & Ross, J. S. (2023) · JAMA · doi:10.1001/jama.2023.22557 · Cited by 222 · see citing works
Chen, F., Wang, L., Hong, J., Jiang, J., & Zhou, L. (2024) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocae060 · Cited by 178 · see citing works
“There is an urgent need to thoroughly evaluate possible biases produced by AI models, 47 and assess the fairness of AI meth-ods to reduce healthcare disparities.”
AI and professional liability assessment in healthcare. a revolution in legal medicine?
Terranova, C., Cestonaro, C., Fava, L., & Cinquetti, A. (2024) · Frontiers in Medicine · doi:10.3389/fmed.2023.1337335 · Cited by 73 · see citing works
Algorithmic fairness of machine learning models for Alzheimer disease progression
Yuan, C., Linn, K. A., & Hubbard, R. A. (2023) · JAMA Network Open · doi:10.1001/jamanetworkopen.2023.42203 · Cited by 49 · see citing works
Comeau, D. S., Bitterman, D. S., & Celi, L. A. (2025) · npj Digital Medicine · doi:10.1038/s41746-025-01443-2 · Cited by 44 · see citing works
Singh, S., Bennett, M. R., Chen, C., Shin, S., Ghanbari, H., & Nelson, B. W. (2024) · Journal of Medical Internet Research · doi:10.2196/62769 · Cited by 36 · see citing works
Incorporating Artificial Intelligence into Healthcare Workflows: Models and Insights
Dai, T., & Abràmoff, M. D. (2023) · Tutorials in Operations Research: Advancing the Frontiers of OR/MS: From Methodologies to Applications · doi:10.1287/educ.2023.0257 · Cited by 29 · see citing works
- Authors
- Shachar, C., & Gerke, S.
- Affiliations
- Harvard University (US)
- Pennsylvania State University (US)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2023-01-24
- Volume
- 329
- Issue
- 4
- Pages
- 283
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W4313545847
- Cited by
- 53
- References
- 1
- Citations by year
- 2026: 5 · 2025: 18 · 2024: 10 · 2023: 20
- FWCI
- 13.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- eYLS (Yale Law School) (submittedVersion)
- bepress Legal Repository (submittedVersion)
- Funders
- Novo Nordisk Fonden (NNF17SA0027784)
- National Institute of Biomedical Imaging and Bioengineering (R01EB027650)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Social Sciences › Law › Discrimination and Equality Law
- Keywords
- algorithmic bias, algorithmic fairness, health equity, algorithmic accountability
- MeSH terms
- Algorithms, Delivery of Health Care, Prejudice, Bias, Social Discrimination
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