{"id":1395,"date":"2026-03-23T16:46:41","date_gmt":"2026-03-23T20:46:41","guid":{"rendered":"https:\/\/vive.unc.edu\/?page_id=1395"},"modified":"2026-03-24T04:37:49","modified_gmt":"2026-03-24T08:37:49","slug":"trace","status":"publish","type":"page","link":"https:\/\/vive.unc.edu\/trace\/","title":{"rendered":"TRACE"},"content":{"rendered":"\n

Health AI is advancing fast<\/strong>.<\/p>\n\n\n\n

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Without rigorous, real-world evaluation frameworks<\/em>, safe and equitable implementation remains out of reach.<\/p>\n\n\n\n

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Introducing ViVE’s<\/em> <\/p>\n\n\n\n

T<\/strong>ranslational R<\/strong>esearch Framework for the A<\/strong>ssessment of C<\/strong>linical and E<\/strong>xperiential AI (TRACE)<\/strong><\/p>\n\n\n\n

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Enabling health systems to effectively evaluate Health AI tools<\/em><\/p>\n<\/div><\/div>\n\n\n\n

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Two approaches<\/strong> empowering teams to answer critical questions:<\/p>\n\n\n\n

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Tool-Based Approach<\/strong><\/p>\n\n\n\n

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.<\/p>\n<\/div>\n\n\n\n

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Problem-Based Approach<\/strong><\/p>\n\n\n\n

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.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n

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Explore what TRACE <\/strong>can do for your organization:<\/h2>\n\n\n\n