Evidence generation plan for artificial intelligence technologies to help detect fractures on X-rays in urgent care
6 Implementation considerations
Companies should work with providers and central NHS England teams to begin the research. Planning for a prespecified period for the set-up of the technologies is advised. The following considerations around implementing the research process have been identified through working with system partners:
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the companies should provide training for staff on using the artificial intelligence (AI)-derived software
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services should be carefully selected to, when appropriate, maximise data collection for subgroups of interest
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ideally, a proportion of cases could be saved and sent for peer review as part of the prospective real-world study
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to assess the potential for automation bias after deployment, companies may want to track the rate of diagnostic disagreement over time
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all data transfer and processing should adhere to appropriate data protection legislation.
Potential barriers to implementation include:
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the availability of research funds for data collection, analysis and reporting
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the availability of NHS funding to cover the costs of implementing the technologies in clinical practice
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lack of expertise and staff to collect data
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burden on healthcare professionals, including the need to have training ahead of implementation, data collection and follow up
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differences in practice between NHS settings and the level of skills and experience that healthcare professionals have when reviewing X-rays.
ISBN: 978-1-4731-6736-0