Problem Statement
SELVA's existing AI layer produced outputs that were inconsistent in format, difficult for physicians to review quickly, and inadequate at handling patient documents. In a clinical setting, unpredictable AI behaviour is not just a usability problem — it is a safety risk. The system needed to produce structured, predictable outputs that physicians could trust and act on efficiently.
Proposed Solution & Architecture
- Six independent clinical AI agents: triage, diagnosis assistance, treatment planning, document intelligence, clinical insights, and patient communication
- Central coordination module managing input routing, context passing, output standardisation, and safety enforcement across all agents
- Consistent structured output format across all agents — predictable for physician review and downstream integration
- Safety-first design: every output includes uncertainty indicators, red-flag recognition, and cases requiring physician attention
- Document intelligence agent converting uploaded clinical documents into accurate summaries and structured information
- Patient-friendly communication outputs — explanations written for patients, not just clinicians
AWS Services & Technologies
What We Delivered
- Restructured SELVA's intelligence layer from a monolithic model into a modular, multi-agent framework with independent reasoning components.
- Designed and implemented the central coordination module — handling input routing, context passing, agent sequencing, and output standardisation.
- Built six independent clinical agents with defined workflows, safety guidelines, and structured output schemas.
- Implemented document intelligence agent — clinical documents uploaded to SELVA are converted into structured summaries for physician review.
- Applied safety-first reasoning patterns across all agents: uncertainty acknowledgement, red-flag recognition, and explicit escalation to physician attention.
- Validated system stability under normal clinical workload — consistent response quality and reliable operation throughout.
Outcomes & Success Metrics
- All six clinical agents producing consistent, structured, and predictable outputs across every interaction.
- Physician review significantly faster — standardised formats mean no interpretation of inconsistent AI outputs.
- Clinical documents now accurately parsed and summarised — document intelligence operational.
- Safety requirements met — every high-risk output escalates to physician attention with full context.
- SELVA intelligence layer now fits seamlessly into existing clinical workflows without disruption.