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Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners
OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. MAT...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671614/ https://www.ncbi.nlm.nih.gov/pubmed/32845984 http://dx.doi.org/10.1093/jamia/ocaa131 |
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author | Kocaballi, A Baki Ijaz, Kiran Laranjo, Liliana Quiroz, Juan C Rezazadegan, Dana Tong, Huong Ly Willcock, Simon Berkovsky, Shlomo Coiera, Enrico |
author_facet | Kocaballi, A Baki Ijaz, Kiran Laranjo, Liliana Quiroz, Juan C Rezazadegan, Dana Tong, Huong Ly Willcock, Simon Berkovsky, Shlomo Coiera, Enrico |
author_sort | Kocaballi, A Baki |
collection | PubMed |
description | OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. 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. |
format | Online Article Text |
id | pubmed-7671614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-76716142020-11-30 Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners Kocaballi, A Baki Ijaz, Kiran Laranjo, Liliana Quiroz, Juan C Rezazadegan, Dana Tong, Huong Ly Willcock, Simon Berkovsky, Shlomo Coiera, Enrico J Am Med Inform Assoc Research and Applications OBJECTIVE: The study sought to understand the potential roles of a future artificial intelligence (AI) documentation assistant in primary care consultations and to identify implications for doctors, patients, healthcare system, and technology design from the perspective of general practitioners. 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. Oxford University Press 2020-08-26 /pmc/articles/PMC7671614/ /pubmed/32845984 http://dx.doi.org/10.1093/jamia/ocaa131 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Research and Applications Kocaballi, A Baki Ijaz, Kiran Laranjo, Liliana Quiroz, Juan C Rezazadegan, Dana Tong, Huong Ly Willcock, Simon Berkovsky, Shlomo Coiera, Enrico Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title | Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title_full | Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title_fullStr | Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title_full_unstemmed | Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title_short | Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners |
title_sort | envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners |
topic | Research and Applications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7671614/ https://www.ncbi.nlm.nih.gov/pubmed/32845984 http://dx.doi.org/10.1093/jamia/ocaa131 |
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