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An LLM-assisted framework for accelerated and verifiable clinical hypothesis testing from electronic health records

2026-02-12

Abstract excerpt

Acquiring insights from electronic health records (EHRs) is slowed by manual analytical workflows that limit scalability and reproducibility. We present LATCH (LLM-Assisted Testing of Clinical Hypotheses), an agentic framework that converts natural language clinical hypotheses into fully auditable analyses on structured EHR data. LATCH integrates LLM-assisted semantic layers with deterministic execution pipelines...

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Literature Corpus work
aebd328a-9bcf-585a-9c21-0a0e8c8e5324
DOI
10.64898/2026.02.10.26346008
Open publication

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An LLM-assisted framework for accelerated and verifiable clinical hypothesis testing from electronic health recordsDOI 10.64898/2026.02.10.26346008
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