Clinical narrative format beats raw JSON for LLMs up to 8B parameters on medication reconciliation but raw JSON wins at 70B scale, with omissions as the main error type.
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Infherno deploys LLM agents with code execution and terminology tools to synthesize FHIR resources from unstructured clinical notes, matching human baseline performance on synthetic and real datasets.
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Serialisation Strategy Matters: How FHIR Data Format Affects LLM Medication Reconciliation
Clinical narrative format beats raw JSON for LLMs up to 8B parameters on medication reconciliation but raw JSON wins at 70B scale, with omissions as the main error type.
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Infherno: End-to-end Agent-based FHIR Resource Synthesis from Free-form Clinical Notes
Infherno deploys LLM agents with code execution and terminology tools to synthesize FHIR resources from unstructured clinical notes, matching human baseline performance on synthetic and real datasets.