AI System for Checking Missing Fields in Discharge Documents

The problem

In daily operations, mandatory fields may remain empty during busy discharge periods. When the discharge form, version checklist, attachments and signature records are spread across different screens, documents or team records, the omission may not be visible in time.

This fragmented data delays preparation of the missing-field report and forces staff to search again for supporting information. Before deciding, the discharge officer and responsible doctor must complete missing fields and verify conflicts one by one.

A common exception is that clinics may use different document versions. If this context is not checked, an incomplete or incorrect workflow could reject a valid document or accept an incomplete one, so its output cannot be applied directly.

What we set out to improve

• Number of missing fields verified before handover
• Rate of outputs corrected or rejected by the discharge officer and responsible doctor
• Time between the source record and the review output

How the system works

1. 01 Define the review scope and the authorised discharge officer and responsible doctor roles
2. 02 Receive the discharge form, version checklist, attachments and signature records
3. 03 Check source identity, date, version and data freshness
4. 04 Determine the document type and version
5. 05 Compare fields, attachments and signatures with the checklist
6. 06 Check the exception that clinics may use different document versions
7. 07 Place low-confidence or conflicting records in a separate human review queue
8. 08 Write the source identity, rule, output and time to the audit trail
9. 09 Have the discharge officer and responsible doctor approve, correct, defer or reject the output

Methods we used

• Version-based document-schema validation
• Source, format, version and mandatory-field checks for discharge forms, version checklists, attachments and signature records
• A missing-data warning instead of inference when inputs are absent or conflicting
• Separate assessment of exceptions and the main rule
• Joint retention of the source identity, rule result, missing-field report and human decision

Where people stay involved

Data and security

Discharge forms, version checklists, attachments and signature records are accessed with the narrowest permissions required for the role. Identity and sensitive fields are masked where possible, and only the necessary section rather than the entire raw file is sent to the model. Access, output and the discharge officer's and responsible doctor's decisions are logged; production use does not begin until the organisation approves data retention and location.

Who this suits

Frequently asked questions