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Beyond Model Performance: Information Needs for an Algorithmovigilance Sociotechnical System
Megan E Salwei1, Sharon Davis1, Laurie L Novak1
1Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Abstract:
Proactive and ongoing monitoring of AI systems, or algorithmovigilance, is essential for mitigating patient safety risks from AI in healthcare. In this study, we describe the information needs for an AI monitoring and operations system and provide design guidelines for algorithmovigilance systems.
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