Leveraging generative AI to enhance Synthea model development
LLMs can serve as valuable assistive tools for synthetic health data model development when used within structured, iterative frameworks, although at the time of this writing (mid-2024) LLMs require continued human expertise and validation rather than fully autonomous operation. In principle, this conclusion is not limited to Synthea and could be applied to other agent-oriented patient journey frameworks.
Authors
- Mark A. Kramer (ORCID: https://orcid.org/0000-0002-8794-2767)
- Aanchal Mathur
- Jason Walonoski (ORCID: https://orcid.org/0000-0002-3897-5853)
- Caroline E Adams
Institutions
- Mitre (United States) (US)
Publication Details
- Journal
- JAMIA Open
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1093/jamiaopen/ooaf123
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00