About Fourier Health
Fourier Health is the first AI platform built to fully automate medical record intake and transform unstructured healthcare data into actionable clinical intelligence. The company serves as the critical structuring layer between raw healthcare records and AI models, processing every inbound record—faxes, PDFs, HL7 feeds, scanned notes—and converting them into schema-aligned, clinician-verified data. The platform operates across three core product lines: Medical Record Intake & Data Extraction automatically ingests, classifies, and structures all inbound records with 80% reduction in manual entry; Clinical Deliverables provides specialty-specific summaries embedded natively in Epic, Cerner, Athena, and other EHRs; and AI-Ready Data delivers clean, structured clinical intelligence via API with over 10 million labeled data points. Fourier's approach combines advanced AI extraction with clinicians-in-the-loop verification, ensuring every output is auditable and cited to source. The platform uses standard medical coding systems including ICD-10, RxNorm, LOINC, SNOMED, CPT, and FHIR resources. With an F1 score of 0.82+—up to 30x higher than leading LLMs—and 4.4 million pages of medical records processed, Fourier has demonstrated significant operational impact including 83.9% reduction in records reviewed per patient and 52 minutes saved per patient in clinical workflows. The company serves health systems and academic medical centers building clinical AI initiatives, specialty networks and MSOs requiring pre-visit intelligence, and AI and research partners needing reliable structured data for model training. Fourier is model-agnostic and designed to be the foundational data layer beneath any healthcare organization's AI roadmap, not a replacement for it.
Mission & Story
Mission
The AI and data infrastructure for healthcare transformation. Deployed everywhere clinicians work.
Clinical Focus
Medical conditions and clinical areas addressed by Fourier Health.
Who It Serves
Milestones & Awards
Recent Milestones
Processed 4.4 million pages of medical records, captured 19 million clinical annotator events, generated thousands of summaries daily across specialties, built 10M+ clinician-approved labeled data points
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