Clinary is an AI-powered patient safety platform that detects hidden risks by analyzing routine IT and service tickets within a hospital's existing technology stack. The system is clinician-informed and has achieved 95%+ accuracy in real-world pilots at major U.S. academic health systems Reward for accurate, actionable risk identification without requiring workflow changes.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals face significant patient safety risks that often go undetected because they are buried within routine IT and service tickets, which are not traditionally used for clinical risk surveillance. Existing risk mitigation workflows fail to surface these warning signs proactively, leaving patients, families, and clinicians vulnerable to preventable harm.
Solution
Clinary provides finely tuned AI that analyzes routine healthcare technology tickets to identify hidden patient safety risks before they escalate. The platform operates natively within existing healthcare technology stacks, augmenting current risk mitigation workflows without requiring disruptive changes. By integrating seamlessly with systems like ServiceNow and Epic, Clinary surfaces actionable insights directly into the workflows clinicians and risk teams already use. The system is fully HIPAA compliant and has been piloted in major U.S. academic health systems, demonstrating practical, measurable improvements in patient safety outcomes.
Target Audience
Primary customers are hospital risk management, patient safety, and clinical quality teams at U.S. health systems, particularly those using ServiceNow or Epic and seeking to strengthen safety surveillance without adding staff burden.
Features
- Clinician-informed AI models fine-tuned to detect patient safety signals from unstructured ticket data
- Native integration with ServiceNow, Epic, and existing IT workflows for frictionless deployment
- Fully HIPAA-compliant architecture designed for responsible handling of sensitive healthcare data
- Demonstrated 95%+ clinician-validated accuracy in identifying actionable risks from routine tickets
- Proven in real-world pilots at major U.S. academic health systems with measurable safety outcomes