Dataset Information

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

ABSTRACT: 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.

SUBMITTER: Kocaballi AB

PROVIDER: S-EPMC7671614 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

Kocaballi A Baki AB Ijaz Kiran K Laranjo Liliana L Quiroz Juan C JC Rezazadegan Dana D Tong Huong Ly HL Willcock Simon S Berkovsky Shlomo S Coiera Enrico E

Journal of the American Medical Informatics Association : JAMIA 20201101 11

<h4>Objective</h4>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.<h4>Materials and methods</h4>Co-design workshops with general practitioners were conducted. The workshops focused on (1) understanding the current consultation context and identifying existing pro ...[more]

PMID: 32845984

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Project description:BackgroundThe potential for machine learning to disrupt the medical profession is the subject of ongoing debate within biomedical informatics and related fields.ObjectiveThis study aimed to explore general practitioners' (GPs') opinions about the potential impact of future technology on key tasks in primary care.MethodsIn June 2018, we conducted a Web-based survey of 720 UK GPs' opinions about the likelihood of future technology to fully replace GPs in performing 6 key primary care tasks, and, if respondents considered replacement for a particular task likely, to estimate how soon the technological capacity might emerge. This study involved qualitative descriptive analysis of written responses ("comments") to an open-ended question in the survey.ResultsComments were classified into 3 major categories in relation to primary care: (1) limitations of future technology, (2) potential benefits of future technology, and (3) social and ethical concerns. Perceived limitations included the beliefs that communication and empathy are exclusively human competencies; many GPs also considered clinical reasoning and the ability to provide value-based care as necessitating physicians' judgments. Perceived benefits of technology included expectations about improved efficiencies, in particular with respect to the reduction of administrative burdens on physicians. Social and ethical concerns encompassed multiple, divergent themes including the need to train more doctors to overcome workforce shortfalls and misgivings about the acceptability of future technology to patients. However, some GPs believed that the failure to adopt technological innovations could incur harms to both patients and physicians.ConclusionsThis study presents timely information on physicians' views about the scope of artificial intelligence (AI) in primary care. Overwhelmingly, GPs considered the potential of AI to be limited. These views differ from the predictions of biomedical informaticians. More extensive, stand-alone qualitative work would provide a more in-depth understanding of GPs' views.

Dataset Information

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

Publications

Envisioning an artificial intelligence documentation assistant for future primary care consultations: A co-design study with general practitioners.

Similar Datasets

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