Medical document intelligence for insurers, TPAs and hospitals: AI that reads medical records and hospital tariffs, verifies identity and flags suspicious claims.
Confidence score
16 / 17 fields matched
A four-stage AI pipeline behind every claim.
API, mobile app or bulk scanner portal.
Medical-grade OCR and NLP identify entities.
Formatted for downstream systems.
Straight into the systems you use.
Medical histories, lab reports and tariffs become JSON, clinical fields and rate tables.
Facial recognition compares the ID photo with the hospital image and scored, alongside a comparison of medical reports.
Sample outputs. Confidence scores support reviewers and are not validated accuracy; a record match is a signal for investigation, not a fraud determination.
Rules are contract-specific.
Claims data, identity checks and fraud signals in one platform.
Less retyping. The decision stays with them.
Tariffs and records in a form payers can use.
Agree documents, fields and review criteria.
Tenant, access and API credentials.
Connect outputs to your claims workflow.
Run in parallel, monitor exceptions.
Subject to scope, data access and integration readiness.
Compliance documents shared during evaluation. Client-managed deployment when data must stay with you.
Medical histories (including handwritten), lab reports and hospital tariffs, as scans, PDFs or mobile photos.
No. It surfaces matches, identity scores and inconsistencies for your investigators. Every decision stays with your team.
Structured JSON through APIs, pushed to your TPA portal, insurance system, hospital EMR or analytics database.
Yes, client-managed deployment is available. We agree the set-up during the pilot.
About 4–5 weeks for one workflow, depending on scope, data access and integration readiness.
Book your demo today. We run MedSense on the documents and fields that matter to your claims team, then agree a scoped pilot.
See MedSense on the documents and fields that matter to your claims team.