Medical document intelligence for insurers, TPAs and hospitals: AI that reads medical records and hospital tariffs, verifies identity and flags suspicious claims.
Medically reviewed by Dr. N. S. Santosh Varma, MBBS, FIIM, FIDM, FICCM · Medical Officer, YIRA MedSense · Updated 13 October 2026
In the news: MedSense has read 1 lakh+ medical documents for health 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.
YIRA MedSense is a medical document intelligence platform for health insurers, TPAs and hospitals. It reads medical histories, lab reports and hospital tariffs, turns them into structured data, checks that the patient in the hospital matches the ID photo, and flags records that match earlier claims so investigators can review them.
Medical histories (including handwritten notes), lab reports, discharge and billing documents and hospital tariffs — as scanned PDFs, digital PDFs or mobile photos. Output is structured JSON with clinical fields, lab values and rate tables.
Yes. Handwritten medical histories are converted into structured question-and-answer fields that a claims team can review and search.
It compares every new document with earlier parsing results and shows which fields match a previous record (for example 16 of 17 fields, with 4 prior matches). These are review signals for your investigators, not a fraud decision.
No. It surfaces matches, identity scores and inconsistencies. Every decision stays with your medical officers and investigators.
MedSense compares the ID photo with the photo taken at the hospital and returns a confidence score in words, so the team can confirm the admitted patient is the insured person.
It turns tariff documents into procedure-level rate tables, applies contract rules by room category, and keeps any missing rate visible as NA instead of guessing.
Through JSON and APIs, into TPA portals, insurance claim systems, hospital EMRs and analytics databases. Client-managed deployment is available.
About 4–5 weeks: sandbox, provisioning, integration and go-live, depending on scope, data access and integration readiness.
Yira is ISO 9001:2015 certified and MedSense is built to SOC 2, HIPAA and GDPR requirements, with human review in the loop for every decision.
See MedSense on the documents and fields that matter to your claims team.