Health AI is advancing fast.
Without rigorous, real-world evaluation frameworks, safe and equitable implementation remains out of reach.
Introducing ViVE’s
Translational Research Framework for the Assessment of Clinical and Experiential AI (TRACE)
Enabling health systems to effectively evaluate Health AI tools
Two approaches empowering teams to answer critical questions:
Tool-Based Approach
The tool-based approach supports health systems that already have a specific AI solution in mind, generating a tailored evaluation plan, study design, metrics, and monitoring dashboard based on user-provided inputs about the tool and its clinical context.
Problem-Based Approach
The problem-based approach supports health systems by starting with a clinical pain point rather than a solution, identifying appropriate AI use-case options, and generating a tailored evaluation plan, study design, metrics, and a monitoring dashboard matched to the problem and setting.
Explore what TRACE can do for your organization:
- Consult with AI and Healthcare leaders
- Learn about ongoing validation and development efforts
- Be at the forefront of Health AI integration
