Fourier Health uses generative AI combined with clinician-in-the-loop review to ingest, standardize, and summarize unstructured clinical records (PDFs, scanned documents, faxes, handwritten notes, EHR exports, and HIE feeds). We surface clinically relevant findings, call out pertinent negatives and data collisions, and deliver outputs tailored to specialty-specific workflows so care teams can make faster, safer decisions with less administrative burden.

We transform heterogeneous clinical data into clinically meaningful, validated summaries and structured outputs that integrate directly into existing systems through HL7, API, or Smart on FHIR. Our platform emphasizes trust and transparency by linking findings to source documents and providing clinician QA to avoid AI hallucinations.

Fourier focuses on reducing record volume and clinician workload while improving revenue and care quality. Typical impacts include large reductions in pages reviewed, rapid document sorting, added clinician capacity, improved RAF/HCC visibility when applicable, and measurable E&M revenue opportunities. Fourier has processed over one million pages for partners and deploys modular solutions (fax management, document ingestion and labeling, referral management, triage and pre-visit assessment, and customized summarization) to fit organizational needs.