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.

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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
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article

Leveraging generative AI to enhance Synthea model development

Mark A. Kramer, Aanchal Mathur, Jason Walonoski, Caroline E Adams
JAMIA Open
Artificial Intelligence in Healthcare and Education
article

Leveraging generative AI to enhance Synthea model development

Mark A. Kramer, Aanchal Mathur, Jason Walonoski, Caroline E Adams
article en

Abstract

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.

JAMIA OpenVol. 9(1)
Mitre (United States) (US)
Openalex Percentile: Top 36%
Artificial Intelligence in Healthcare and Education
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