Conference
Open access
2026
Intelligent Narrative Summaries and Risk Scoring of Laboratory Panels with Large Language Models
A prompt-driven pipeline that converts FHIR R4 laboratory panels into structured, paragraph-length clinical narratives paired with a calibrated 0-1 risk score, using GPT-4o-mini as the generation engine is described, demonstrating feasibility for abnormality flagging and narrative generation.
Rahul Reddy Hanumanthgari
· EPJ Web of Conferences · 0 citations