Abstract
The use of AI-based algorithms is rapidly growing in healthcare, but there is still an ongoing debate about how to manage and ensure accountability for their clinical use. While most of the studies focus on demonstrating a good algorithm performance it is important to acknowledge that several additional steps are needed for reaching an effective implementation of AI-based models in daily clinical practice, with implementation being one of the main key factors. We propose a model characterized by five questions that can guide in this process. Additionally, we believe that a hybrid intelligence, human and artificial respectively, is the new clinical paradigm that offer the most benefits for developing clinical decision support systems for bedside use.
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All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by Valentina Bellini, Elena Bignami e Marco Cascella. The first draft of the manuscript was written by Valentina Bellini e Elena Bignami and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.
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Bellini, V., Cascella, M., Montomoli, J. et al. From Big Data’s 5Vs to clinical practice’s 5Ws: enhancing data-driven decision making in healthcare. J Clin Monit Comput 37, 1423–1425 (2023). https://doi.org/10.1007/s10877-023-01007-3
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DOI: https://doi.org/10.1007/s10877-023-01007-3