The potential benefits of AI to patient care may be overlooked if urgent steps are not taken to ensure that the technologies are effective for the clinicians using them, a new White Paper outlines.
The White Paper – a collaboration between the Centre for Assuring Autonomy at the University of York, the MPS Foundation and the Improvement Academy hosted at the Bradford Institute for Health Research – says the greatest threat to AI uptake in healthcare is the “off switch”.
If frontline clinicians see the technology as burdensome, unfit for purpose or are wary about how it will impact upon their decision-making, their patients and their licences, then they are unlikely to want to use it.
Full seven recommendations from the White Paper:
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AI tools should provide clinicians with information, not recommendations
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Revise product liability for AI tools before allowing them to make recommendations
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AI companies should provide clinicians with the training and information required to make them comfortable accepting responsibility for an AI tool's use
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AI tools should not be considered akin to senior colleagues in clinician-machine teams
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Disclosure should be a matter of well-informed discretion
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AI tools that work for users need to be designed with users
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AI tools need to provide an appropriate balance of information to clinician users