CloudlyCare
Empowering Clinicians with Safe, Explainable AI
Executive Summary
Introducing CloudlyCare Agentic Clinical Assistant — a next-generation clinical AI designed to deliver <0.1% hallucination rate with fully evidence-based recommendations. Built to reduce diagnostic time by up to 67%, it augments clinical workflows while ensuring complete clinician control and final decision
The Challenge
- 12M misdiagnoses annually in US
- 6.4 min average per patient visit
- 67% physician burnout rate
- 2-3 hrs documentation per 1 hr care
Our Solution
- Hierarchical Multi-agent architecture
- Evidence-based recommendations
- Confidence scores on every response
- MCP integration of FHIR R4 EHR
The Impact
- 92.3% diagnostic accuracy
- 89% reduction in Rx errors
- 2-4x faster decision rate
- 92% clinician satisfaction
Clinicians Face Impossible Demands:
Information Overload Leads to Burnout and Errors
Misdiagnoses annually in US
Average time per patient visit
Physicians report burnout
2-3hrs
Documentation per 1 hr of care
CloudlyCare Approach:
Information overload problem can be solved by applying AI agents with proper accuracy climbing, risk handling and confidence scoring => taking AI for healthcare beyond conversational and ambient use cases
CloudlyCare
Your Clinical AI Assistant Not an Uber AI Expert
Hierarchical Multi-Agents
- 7 specialized agents
- 11 medical domains
- Clinical guidelines integration
- Comprehensive differential diagnosis
- Intelligent documentation support
- Fully auditable decision assistance
- 100% compliant in EU and US
Safety-First Design
- <0.1% hallucination rate
- Confidence scores on every output
- Human-in-loop for <80% confidence
- Evidence citations always included
- Risk mitigations are transparent
Seamless Integration
- FHIR R4 EHR compatibility
- Works with Epic, Cerner, others
- Real-time patient data access
- Zero workflow disruption
- Deep device/equipment integration
Built by Clinicians, for Clinicians — Only for Supporting Faster and Smarter Decisions
Validated Across 12 Clinical Scenarios with Industry- Leading Safety Metrics
CloudlyCare doesn’t guess. Every differential is grounded in validated clinical guidelines, cross-referenced evidence, and calibrated confidence — so clinicians know exactly how much to trust each recommendation.
Diagnostic Accuracy
Across 12 clinical scenarios IDSA, AHA, NICE validated
Hallucination Rate
vs. 8–20% for baseline LLMs RAG + multi-layer fact-checking
ECE calibration
Excellent confidence accuracy '90% = right ~90% of the time'
Drug interactions
Critical interactions detected 5-layer drug safety pipeline
| Scenario Type | Accuracy | Confidence | Human Review |
|---|---|---|---|
| High Confidence (UTI, Pharyngitis, Migraine) | >90% | 90–95% | 8% |
| Moderate Confidence (Chest Pain, Mental Health) | 70–89% | 70–89% | 35% |
| Low Confidence (Pediatric, Complex) | <70% | <70% | 92% |