ClinAgent: AI-assisted methodology for clinical trial data processing and statistical programming
Jaime Yan · 2026
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Description
Yan presents ClinAgent in twenty twenty-six, an AI layer for clinical trial programming. Statistical programming for a large trial can take one to two years of staff time. AI coding agents reason well but lack tools for clinical data formats and standards. ClinAgent adds those tools through a standard protocol.
Its design splits data access from domain logic. Skills package prompts, rule engines, and decision trees that encode expert knowledge. Tools handle statistical data sets, specification sheets, and log files. Nine skills were tested on artifacts from a real Phase two heart study. All passed functional validation on synthetic data. Deterministic checks found errors and warnings with no false positives. Draft specifications from prompts were strong in simple domains and weaker in complex ones, so expert review is still needed.
Catalog record
| CREATOR | Jaime Yan |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 57 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |