Validation of <i>International Classification of Diseases</i> Codes for Dermatologic Conditions
This systematic review provides a summary of the most accurate classification approaches to identify various dermatologic conditions in large administrative datasets. These results may inform study designs when using these datasets. In addition, some common conditions lack validated classification approaches, highlighting important areas for future research. As administrative and electronic health record data increasingly support dermatology research, use of rigorously validated algorithms will be essential for generating trustworthy findings.
Authors
- Nicholas Theodosakis (ORCID: https://orcid.org/0000-0003-4388-2288)
- John S. Barbieri (ORCID: https://orcid.org/0000-0002-5467-4102)
- Aurore D. Zhang (ORCID: https://orcid.org/0009-0005-5953-4036)
- Katherine Sanchez (ORCID: https://orcid.org/0000-0002-2249-3024)
- Debby Cheng (ORCID: https://orcid.org/0000-0002-8360-9780)
- Samantha Gregoire
- Arash Mostaghimi (ORCID: https://orcid.org/0000-0002-6084-5617)
- Sherry Ershadi (ORCID: https://orcid.org/0009-0005-9511-6202)
- Ursula Biba
- Nora Bensellam
- Lorena A Acevedo-Fontanez
- Anne Fladger
- Nikki Zangenah
Institutions
- Brigham and Women's Hospital (US)
- Harvard University (US)
- Boston Public Library (US)
- Massachusetts General Hospital (US)
Publication Details
- Journal
- JAMA Dermatology
- Published
- 2026-01-07
- DOI
- https://doi.org/10.1001/jamadermatol.2025.5268
- Primary Topic
- Medical Coding and Health Information
- Type
- article
- Field-Weighted Citation Impact
- 0.00