Problem Statement
Multi-site care organisations operate under enormous administrative and clinical pressure. Manual processes for resident monitoring, staffing, compliance documentation, family updates, and maintenance coordination are fragmented, time-intensive, and error-prone. Any automation in this environment must also meet the highest standards of clinical safety.
Proposed Solution & Architecture
- 25 specialised AI agents, each as an independent microservice — covering clinical workflows, resident monitoring, staffing, compliance, family communication, maintenance, and operational governance
- FHIR-based clinical data ingestion pipeline normalising vitals, observations, care history, and incident logs
- IoT telemetry integration for real-time resident monitoring with anomaly detection
- Human-in-the-loop validation enforced for all safety-critical decisions — no AI action commits to clinical records without physician or supervisor approval
- Role-based access control for nurses, supervisors, support staff, family-level readers, and system auditors
- Full explainability for every AI decision — audit artefact generated including model decision, context snapshot, and reasoning reference
AWS Services & Technologies
What We Delivered
- Designed and built the modular CareOS platform architecture — orchestration layer, agent execution layer, and event-based inter-agent communication.
- Implemented FHIR-standard clinical data pipeline ingesting vitals, care history, observations, and incident logs from multiple sources.
- Integrated IoT telemetry normalisation for real-time resident health monitoring with automated anomaly detection and safety alert generation.
- Built 25 specialised AI agents as independent reasoning components — each with defined input contracts, structured output formats, and safety constraints.
- Implemented human-in-the-loop approval workflows for all safety-critical outputs — no clinical record update or operational response triggers without human confirmation.
- Deployed multi-factor authentication, role-based permissions, immutable audit logging, and multi-layer encryption across the full platform.
- Built care dashboards and operational monitoring interfaces for real-time visibility across residents, staff, compliance status, and maintenance.
Outcomes & Success Metrics
- 25 specialised AI agents operational across clinical and operational workflows — each independent, safe, and auditable.
- FHIR-based ingestion, IoT telemetry, and event-driven agent communication validated and live.
- Human-in-the-loop safety framework operational — every high-impact AI output generates an explainable audit trail before any clinical action.
- Role-based access for all user types in place — from nurses to family members — with appropriate data scoping.
- Secure, compliant infrastructure operational across the full care management environment.