Design study - Human-reviewed clinical report generation
Helping clinicians review and produce structured wellness reports. Design study.
- Client
- Liquivida
- Year
- Service
- Document intelligence, Healthcare AI, Human review, Reporting
- Engagement
- Design study
The Challenge
Diagnostic information from multiple sources had to be assembled into consistent wellness reports, with physician control over the final output.
The Approach
BeeNex designed a reporting workflow that extracts diagnostic data, maps it to four wellness pillars and generates an editable draft. Physicians retain review, reclassification and approval before the final branded report.
Capabilities
- Bulk diagnostic PDF intake
- Parsing and extraction
- Data normalization
- Four Wellness Pillars
- AI clinical drafts
- Abnormality/trend flags for review
- Physician overrides and reclassification
- Version control
- Branded PDFs
Workflow
- Upload
- Process
- Extract
- Map into pillars
- Generate draft
- Physician edits and approves
- Export report
- Google Cloud (proposed)
- PDF parsing
- AI document processing
- Report generation
Outcome
The design specifies a document-to-report prototype with physician review and a clear evaluation plan. It provides an implementation blueprint for testing usefulness and preparation effort.