The Problem
Healthcare data is a mess.
When you see a new patient, these records are lengthy, unorganized and incomplete.
EHR Data
PDFs/Faxes
HIEs
CCDs
The Solution
How Fourier works
Fourier labels, organizes, and delivers summaries based on your team’s needs.
Input
Unstructured Data
Fourier Engine
Sorting
Intake
Triage
Chart Summary
Output
sFTP
eFAX
Smart on FHIR
Sorted & Labeled Medical Records
Workflows
Use Cases
Fourier is specialty-agnostic and designed to support high-impact moments where unstructured medical records create bottlenecks. Wherever teams are overwhelmed by paperwork—faxes, scanned PDFs, HIEs, or handwritten notes
Fourier surfaces what matters most.
Data Reduction & Signal Extraction
Document Labeling & Triage
Specialist Consult Summaries
Most medical records are noise; Fourier finds the signal. We automatically extract the most relevant clinical data from each chart, minimizing manual review.
The result
A faster path from scattered documents to first visit - without overwhelming providers or staff.
Our Impact with Real Clients
98%+ of raw pages filtered out, returning 2–3 hours of admin and clinical time per patient and boosting visit throughput.
AI-assisted categorization lightens the administrative load. Incoming PDFs, handwritten notes, faxes, and uploads are auto-tagged into client-specified categories.
The result
Cleaner intake processes and faster downstream action across intake, medical records, and referral coordination.
Our Impact with Real Clients
Reduced FTE burden by 50%+ - equivalent to 10+ FTEs - at high-volume sites processing 350–400 patients/day.
From 500 pages to 5 – custom, structured summaries tuned to specialty needs. Every summary includes clinician-in-the-loop QA and links back to sources for instant verification.
The result
Less time prepping and more time treating, with standardized, ready-to-use consult packets.
Our Impact with Real Clients
12–15% increase in physician capacity by eliminating pre-visit administrative prep.
SUMMARY
Burden reduction in real time
400
Total medical records volume
80
Pages containing snippets of pertinent clinical information
50
Relevant findings, identified for treating provider
4
Average pages per Fourier Summary