Projects per year
Materials and Methods: Co-design workshops with general practitioners were conducted. The workshops focused on (1) understanding the current consultation context and identifying existing problems, (2) ideating future solutions to these problems, and (3) discussing future roles for AI in primary care. The workshop activities included affinity diagramming, brainwriting, and video prototyping methods. The workshops were audio-recorded and transcribed verbatim. Inductive thematic analysis of the transcripts of conversations was performed.
Results: Two researchers facilitated 3 co-design workshops with 16 general practitioners. Three main themes emerged: professional autonomy, human-AI collaboration, and new models of care. Major implications identified within these themes included (1) concerns with medico-legal aspects arising from constant recording and accessibility of full consultation records, (2) future consultations taking place out of the exam rooms in a distributed system involving empowered patients, (3) human conversation and empathy remaining the core tasks of doctors in any future AI-enabled consultations, and (4) questioning the current focus of AI initiatives on improved efficiency as opposed to patient care.
Conclusions: AI documentation assistants will likely to be integral to the future primary care consultations. However, these technologies will still need to be supervised by a human until strong evidence for reliable autonomous performance is available. Therefore, different human-AI collaboration models will need to be designed and evaluated to ensure patient safety, quality of care, doctor safety, and doctor autonomy.
|Number of pages||10|
|Journal||Journal of the American Medical Informatics Association : JAMIA|
|Early online date||26 Aug 2020|
|Publication status||Published - 1 Nov 2020|
Bibliographical noteCopyright the Author(s) 2020. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.
- primary health care
- general practitioners
- medical informatics
- artificial intelligence
- qualitative study
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Coiera, E., Glasziou, P., Hansen, D., Magrabi, F., Sintchenko, V., Verspoor, K., Gallego-Luxan, B., Lau, A., Dunn, A., Longhurst, C., Tsafnat, G., Cutler, H., Makeham, M., Shaw, T., Shah, N., Runciman, W. & Liaw, S. T.
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