Case study
AI-Powered Clinical Intelligence, Not Just OCR
A governed AI workflow that turns document heavy clinical packets into structured data with alerts and reviewer controls.
Governed AI means
Governed AI means AI with audit logs, review steps, and monitoring.
- Outputs link back to sources when possible
- High-risk steps require human approval
- Quality is measured over time, not assumed
Client context (anonymized)
A regulated healthcare workflow ingesting document heavy clinical packets.
Workflow
Teams receive clinical documents and need accurate structured data quickly, without manual rekeying.
What we built
A clinical intelligence pipeline beyond OCR that:
- Ingests documents uploaded and processed via https://app.sidegem.com
- Extracts structured fields from source documents
- Shows extracted data to users in a reviewer friendly format
- Triggers proactive agent actions when predefined conditions occur
Governance controls shipped
- Traceable extracted fields tied back to the source document
- Review steps for uncertain or high risk extractions
- Monitoring for extraction drift and edge cases
Proactive agent examples
- Alerts when medication changes are detected across new documents
- Flags emergency indicators for immediate attention
- Reduces missed signals caused by manual review fatigue
Impact
- Faster ingestion and turnaround from document arrival to usable structured data
- Reduced human error from manual copy and re-entry
- Earlier alerts on high risk changes and urgent situations
Discuss a similar workflow
We can scope a pilot around real inputs, reviewer steps, and production monitoring.