Use cases › Healthcare
MHK SmartProminence: how the agent works and how to build one like it
Summary: MHK's SmartProminence is a HIPAA-eligible agent orchestrator that cut manual medical review by 90%, per the source.
Source: https://aws.amazon.com/blogs/architecture/how-mhk-built-a-hipaa-eligible-agentic-ai-solution-on-amazon-bedrock/ source read via search extract
Why this use case works
Medical review mixes document reading with policy rules, which suits an orchestrator that routes cases: auto-approve the clear ones, send the unclear ones to clinicians. The 90% figure reflects how much of the volume is routine. (Our analysis.)
Agent pattern: Document-review agent
A document-processing agent: ingestion and OCR, extraction into a schema, rule or model-based review, and a human approval step before anything binding goes out. Audit logs are a requirement, not a nice-to-have.
How a smaller team could replicate it
Health plans and utilization-management vendors should start with a HIPAA-eligible stack, automate evidence gathering and criteria matching, and keep any denial a human decision. (Our analysis, not a claim made by the source.)
Want a rough business case first? Try the AI agent ROI calculator, or ask us to scope it.
Risks and guardrails
Risks: wrongful denials of care and protected health information exposure. Guardrails: only humans issue denials, HIPAA-eligible infrastructure with business associate agreements, and audits of auto-approved cases. (Our analysis.)
What to measure
Share of reviews handled automatically, clinician time per case, overturn rate on appeal, and turnaround time.
Related Healthcare deployments
- Synthpop: Synthpop: turns unstructured referrals into payer-ready orders.
- Deloitte Care Finder: Deloitte Care Finder: finds in-network providers in under 1 minute.
- Quest AI Companion: Quest AI Companion: explains 5 years of patient lab data.
- CVS Health100: CVS Health100: an agentic omnichannel consumer health partner.
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