Lab reports arrive from hundreds of laboratories, each with its own layout. YIRA MedSense reads them, extracts each test with its value, unit and the report's own reference range, and flags values outside that range, so reviewers see what matters first.
Medically reviewed by Dr. N. S. Santosh Varma, MBBS, FIIM, FIDM, FICCM · Medical Officer, YIRA MedSense · Updated 19 October 2026

The same report, two ways of handling it.
| Step | Manual handling | With YIRA MedSense |
|---|---|---|
| Finding the tests | Reviewer scans each lab's layout | Tests detected regardless of layout |
| Values and units | Typed by hand | Value, unit and reference range captured per test |
| Out-of-range values | Compared by eye | Flagged against the report's own reference range (for example ALT 52.19 U/L, High) |
| Patient details | Copied manually | Patient demographics extracted for matching |
| Hand-off | Re-keyed into systems | Structured JSON sent by API |
| Interpretation | Clinician | Clinician: flags are prompts for review, not diagnoses |
Example values are illustrative and come from test data. A flag is not a diagnosis.
Structured lab data helps every team that reads lab reports at volume.
Check that lab evidence supports the diagnosis claimed.
Read medical examination reports for new policies.
Turn lab PDFs into trend-ready data for members.
Bring outside lab reports into the record in a standard format.
However the report looks, the output is the same.
Test name, value, unit and reference range.
High and low values marked against the report's own range.
Shown per field for review.
JSON to your claims, EMR or analytics systems.
Lab report data extraction reads a laboratory report, from a scan, PDF or photo, and turns each test into structured data: test name, result, unit and reference range, so systems and reviewers can use it without re-typing.
It compares each result with the reference range printed on the same report and flags values outside it, for example ALT 52.19 U/L marked High. Flags are prompts for clinical review, not diagnoses.
Yes. MedSense is built to read reports from many laboratories with different layouts and return them in one structured format.
Yes. Scanned PDFs, digital PDFs and mobile photos are supported.
MedSense sends structured JSON by API to TPA portals, insurer claims systems, hospital EMRs and analytics databases.
Yes. Client-managed deployment is available, so documents can stay within your environment. Hosting and data residency are agreed per contract.
See MedSense on the documents and fields that matter to your claims team.