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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…
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…
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,…
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.
The main features of pku-aicare/ehrflow are: Clinical Documentation And EHR.
Projects with overlapping indexed features include: hovchen/aegle — Aegle is a graph-based, multi-agent framework that virtualizes multidisciplinary clinical reasoning for outpatient… j-frei/infherno — Infherno is an end-to-end agent that transforms unstructured clinical notes into structured FHIR (Fast Healthcare… ldi-kyunghee/trustehragent. somewordstoolate/rwe-bench — Observational studies can yield clinically actionable evidence at scale, but executing them on real-world databases is…