Use-case preset
Medical record processing cost calculator
Extract structured data from clinical notes and EHR free text.
Medical record processing extracts structured data from clinical notes and EHR free text — diagnoses, medications, procedures, vitals — where a single patient record can run 20–28k tokens of dense clinical narrative, yielding the 90/10 input/output split and 32k context requirement. Output is a compact structured JSON payload per record.
Best-effort latency is acceptable for overnight batch pipelines, but extraction accuracy is non-negotiable. cachedPromptPercent of 55 captures the stable extraction schema and medical ontology mappings reused across every record. HIPAA compliance requires a signed BAA with your inference provider before processing real patient data — validate this before routing to any public API endpoint. Models with strong biomedical pretraining (Llama-3 70B+ fine-tunes, Mistral-Large) outperform general instruction models on ICD-10 and medication entity extraction. Quantized models should be validated carefully; hallucination rates on medical terminology can increase meaningfully at INT4.