Turn unstructured hospital data into trusted, structured intelligence
Agentic AI that automates clinical data abstraction and reporting workflows with governance, audit logs, and human validation. Built for hospitals that need accurate data, not another chatbot.
Built for Malaysian healthcare. Designed for enterprise deployment.
Clinical Values
- Less repeated form filling
- Less 'please help us extract this info' requests from admin teams
- Better clinical continuity via structured, retrievable facts
- Safer oversight: uncertain fields require your validation
Operational Values
- Faster reporting cycles and fewer manual abstraction teams
- Higher data quality for clinical governance and audits
- Repeatable deployment across departments and sites
- A pathway to standardisation without ripping and replacing the HIS
What It Is
Qmed Agentic AI is a governed agent workflow engine. It ingests messy hospital data (notes, PDFs, reports), normalises it, and uses controlled agents to extract structured fields. It doesn't just 'chat'—it produces audit-ready records for registries, quality reporting, and operational surveillance.
Core Capabilities
Outcomes You Can Measure
Time to abstract one case
Completeness rate for mandatory fields
End-to-end latency from ingestion
Validation workload reduction
Backlog reduction rate
Audit findings reduction
The Plain Truth
Most 'agentic AI' products fail in hospitals because they ignore governance. We build around it. Every field has traceability. Every change has an audit log. Every low-confidence output gets routed to a human. This is an enterprise data production line, not a magic box.