Evaluating a predictive model of avoidable hospital events for race‐ and sex‐based bias
We implemented a simple bias assessment methodology and found no evidence of meaningful race- or sex-based bias in this model. We encourage the incorporation of bias checks into predictive model development and monitoring processes.
Authors
- Ian Stockwell (ORCID: https://orcid.org/0000-0002-3995-339X)
- Fei Han (ORCID: https://orcid.org/0000-0003-2454-4187)
- Leigh G. Goetschius (ORCID: https://orcid.org/0000-0001-6814-5634)
- Morgan Henderson (ORCID: https://orcid.org/0000-0002-0869-5738)
- Ruichen Sun (ORCID: https://orcid.org/0000-0001-9604-6473)
Institutions
- University of Maryland, Baltimore County (US)
Publication Details
- Journal
- Health Services Research
- Published
- 2024-11-22
- DOI
- https://doi.org/10.1111/1475-6773.14409
- Primary Topic
- Healthcare cost, quality, practices
- Type
- article
- Field-Weighted Citation Impact
- 0.00