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Watch this video to learn how ClinicalKey AI delivers relevant responses backed by evidence-based sources using a multi-step approach that prioritizes accuracy, appropriate levels of transparency, and security—so you can confidently guide your clinicians to trusted information.
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In this Medical Library Association webinar sponsored by Elsevier, Amanda Barry, MPH, Principal Clinical Analyst at Elsevier, shares insights from her team’s collaborative research recently published in JAMIA Open on reproducible AI evaluation in healthcare. With 11+ years in clinical decision support and expertise in AI ethics, Amanda reveals the rigorous protocols her team developed for assessing generative AI systems like ClinicalKey AI.
This whitepaper provides an overview of Elsevier’s evaluation framework that is used to assess ClinicalKey AI for efficacy and bias. Discover practical methodologies for evaluating AI accuracy, safety, and bias in clinical settings.
For a deeper look into the evaluation approach, read the full research article recently published in JAMIA Open.
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