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Focus on responsible AI is rooted in its long-standing commitment to delivering trusted, high-quality clinical content, ensuring it’s shared ethically and responsibly to improve patient outcomes worldwide. Clinicians considering AI solutions should evaluate whether the tool addresses a real problem, if it’s proven in practice, and how easily it can be tested and integrated into their workflow.
In this installment of the Visionary Voices series, Jan Herzhoff, President of Health Markets at Elsevier, and Mie-Yun Lee, former Chief of Staff at Elsevier, describe important considerations clinicians should make when implementing AI technology and how responsible AI principles play a vital role in the development of generative AI solutions for healthcare.
By empowering healthcare professionals with intelligent tools, we're creating pathways to smarter diagnostics, safer treatments, and truly personalized patient care.
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ClinicalKey AI integrates the latest information from a wide range of sources such as journals, clinical overviews, drug monographs and books. This approach not only enhances the quality of the decision-making process but saves time and resources. Instead of manually sifting through numerous documents, clinicians receive a distilled and comprehensive overview, enabling them to make informed choices quickly.
To learn how ClinicalKey AI can support your practice, contact us or try it yourself opens in new tab/window today.
