Policy Details

IEEE 7003-2022 – Algorithmic Bias Considerations

Summary

Provides processes and methodologies to address bias in the creation and deployment of algorithmic systems, including dataset selection, validation criteria, documentation, and communication of application boundaries.

Healthcare Implications

Directly applicable to clinical algorithm development and deployment (subgroup analysis, drift monitoring, performance reporting). Supports governance requirements in health‑equity and civil‑rights policies (e.g., Office for Civil Rights §1557 clinical algorithms).

Impact Level

Medium

Keywords

Clinical Quality & Efficacy; Equity & Bias