From discharge papers to a searchable claim set
A modelled scenario: a hospital discharge summary, bills and lab reports are classified and extracted so one admission can be found, searched and checked as a set.
The manual process
- A hospital stay produces a discharge summary, itemised bills, lab reports and ID or policy copies, often scanned in different qualities.
- Staff re-key patient, admission, diagnosis and amount details into claim forms.
- Matching each bill and report to the right admission is done by eye, and missing pages are found late.
The pipeline
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Upload the bundle
Documents are uploaded together or sent via API and webhooks, and each is classified as a discharge summary, hospital bill, lab report or other type from the health insurance (India) pack.
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Extract fields
Patient, admission and discharge dates, diagnosis, billed amounts and policy details are extracted with confidence scores.
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Review poor scans
Low-quality scans can be routed to a reviewer who checks the recognised text before extraction continues.
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Find the set
Extracted identifiers such as patient name, policy or claim number and admission dates let a reviewer search for every document that belongs to one admission and open them together. Automatic document linking covers workers' compensation document sets today, not these document types.
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Search and ask
The pack can be searched, and questions can be asked of it with answers pointing to the source documents.
The result
- Documents for one admission can be found together by searching their extracted identifiers.
- Extracted values are available to check against the claim form.
- Unclear scans are caught at a review step instead of passing through silently.
What the reviewer sees
A reviewer sees the discharge summary and bills side by side with the extracted fields. Anything the system could not read with confidence is flagged. Approving a stage lets the pack continue.
What this scenario does not claim
This is an illustration, not a customer case study. It names no hospital or insurer and gives no volumes, accuracy or time figures. Medical content is processed as sensitive data, and real deployments should follow the Terms, the data processing agreement and any required agreements. It supports claim preparation and does not decide a claim.