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Aegle is a graph-based, multi-agent framework that virtualizes multidisciplinary clinical reasoning for outpatient intake. It coordinates an orchestrator, specialist agents, an aggregator, and a standardized patient to conduct evidence-grounded dialogue and generate structured Initial Progress…
The main features of hovchen/aegle are: Clinical Documentation And EHR.
Projects with overlapping indexed features include: j-frei/infherno — Infherno is an end-to-end agent that transforms unstructured clinical notes into structured FHIR (Fast Healthcare… ldi-kyunghee/trustehragent. pku-aicare/ehrflow — EHRFlow is a large language model-driven platform designed to simplify electronic health record (EHR) data analysis… somewordstoolate/rwe-bench — Observational studies can yield clinically actionable evidence at scale, but executing them on real-world databases is…
Infherno is an end-to-end agent that transforms unstructured clinical notes into structured FHIR (Fast Healthcare Interoperability Resources) format. It automates the parsing and mapping of free-text medical documentation into standardized FHIR resources, enabling interoperability across…
EHRFlow is a large language model-driven platform designed to simplify electronic health record (EHR) data analysis for physicians through natural language interactions, eliminating the need for complex coding.
Observational studies can yield clinically actionable evidence at scale, but executing them on real-world databases is open-ended and requires coherent decisions across cohort construction, analysis, and reporting. Prior evaluations of LLM agents emphasize isolated steps or single answers,…