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Article

Human-supervised, large language model-based clinical decision support aligned to national newborn protocols in Kenya: a pragmatic, early-stage evaluation

2026-03-25

Abstract excerpt

<h4>Introduction</h4> Timely, protocol-adherent clinical decisions are crucial for reducing neonatal mortality in low-resource settings. Translating extensive national guidelines into bedside practice remains challenging. <h4>Objective</h4> We developed and evaluated AIFYA, a human-supervised, large language model (LLM)-based clinical decision support system (CDSS) aligned with Kenya’s national newborn care prot...

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Literature Corpus work
ff2be489-9419-511d-a6c6-222679b99b8a
DOI
10.64898/2026.03.22.26348994
Open publication

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Human-supervised, large language model-based clinical decision support aligned to national newborn protocols in Kenya: a pragmatic, early-stage evaluationDOI 10.64898/2026.03.22.26348994
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