Let’s hear from Robert Challen, University of Bristol, about this 2019 article pubished in BMJ Quality and Safety “...without open access you miss the opportunity of exposing your ideas to new communities with fresh perspectives.”
Robert Challen is based at the UKRI AI Hub for Collective Intelligence, Engineering Mathematics, University of Bristol; part of the University of Exeter Medical School; and the National Institute for Health Research (NIHR) Applied Research Collaboration South West Peninsula (PenARC). What inspired you to pursue research in this particular area? I have a background in both clinical medicine and health information technology. Health IT has enabled a great deal of change in the delivery of clinical medicine but the complex interaction between system design and clinical workflow can inadvertently introduce risk. In 2019 the use of data driven machine learning to help make clinical decisions was in its infancy. Applying the learning from health IT implementation, and extending it to include the specific issues surrounding data driven decision support tools, is critical to patient safety. How do you envision your research contributing to the broader field or addressing real-world issues? AI in the workflow of clinicians and patients is almost an inevitability. AI tools are emerging from fields outside of healthcare where safety may not always be a primary consideration. We aimed to create a practical framework for AI developers, policy makers, or end users, to consider how AI in healthcare might fail, and how that might manifest.
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