All work
Healthcare AI
ChartGuard
A clinical AI platform that audits every documented visit before it bills, catching compliance risks and under-coded revenue that manual sampling misses.
The problem
Behavioral health providers could only spot-check a fraction of their charts, leaving compliance gaps, under-coded visits and safety-relevant details unexamined.
The approach
ChartGuard reviews clinical documentation against payor policy, regulatory requirements and the organisation's quality standards before a claim goes out. Every flag and coding suggestion includes a traceable reason and supporting documentation.
- Clinical note ingestion and structuring
- Payor and regulatory rules engine
- Under- and over-coding detection
- Compliance quality scorecards
The model finds the gap. The clinician still closes it.
Outcome
Quality management moves from reactive sampling to proactive review before billing.
Built with
- React
- Python (FastAPI)
- PostgreSQL
- pgvector
- OpenAI
- AWS