Limited visibility
Which AI systems are actually in use across your health system?
Healthcare Solutions
From innovation to safe, responsible and trusted care.
Discover every AI system across your health system, understand clinical and operational risk, apply the right controls, generate evidence and continuously monitor AI to keep care safe, compliant and effective.
247AI Systems
Complete AI lifecycle
from discovery to assurance
Aligned to CHAI,
HAIGS and global standards
Built for clinical,
risk and compliance teams
Start with one AI system
and scale
Trusted by forward-thinking health systems
Coalition for Health AIThe Challenge
AI is being adopted across clinical, patient and operational workflows, but many health systems lack visibility, consistent governance and evidence to ensure safe and responsible use.
Which AI systems are actually in use across your health system?
Could the AI output cause harm or lead to unsafe decisions?
How do you meet CHAI, HAIGS, HIPAA and global AI standards?
Do you have the evidence to show your AI is safe, effective and fair?
“AI can improve care, but only if we have the governance, transparency and evidence to ensure it is used safely and responsibly.”
Chief Medical Information OfficerLeading Academic Medical Center
The Solution
CognitiveView connects discovery, risk, governance, evaluation, evidence, assurance and continuous monitoring — so you can make informed decisions about AI across your health system.
Swipe to explore the six-step workflow.
Find AI systems across your health system.
Understand clinical, operational and regulatory risk.
Apply policies, controls and human oversight.
Test for safety, fairness and performance.
Generate evidence and make an assurance decision.
Track changes, detect drift and re-assess.
Healthcare AI Use Cases
Not simply what model it uses.
Healthcare AI Assurance
Operationalize healthcare AI frameworks with use-case specific controls and evidence.
Healthcare AI Control Room
Bring AI systems, assurance status and the risks that matter into one accountable view across your health system.
Who it’s for
Healthcare AI FAQs
Answers to common questions about healthcare AI governance with CognitiveView.
(e.g. CHAI, HAIGS, NIST AI RMF, ISO 42001)
Clinical, privacy, fairness, reliability
Policies, technical and process controls
Testing, validation and human review
Reports, logs, model cards, approvals
A single signal, evidence underneath
Assured, Conditional or Review Required
Healthcare AI System Profile (Example)
Clinical Decision Support
Owned by Clinical Operations, this vendor-supplied ML / Predictive model has high clinical impact and a high risk tier. Fairness exposure is medium; privacy exposure is high.
Its assurance status is Conditional, with a TrustScore of 82 / 100.
Aligned with leading healthcare AI standards.
Coalition for Health AI
Healthcare AI Governance Standard
AI Risk Management Framework
ISO 42001 AI Management
Privacy & Security
Ready to get started?
Start with one AI system. See exactly what governance requires.
Most organizations see results within 4–6 weeks.