2023
DOI: 10.1371/journal.pone.0281733
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Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue

Abstract: Background With large volumes of longitudinal data in electronic medical records from diverse patients, primary care is primed for disruption by artificial intelligence (AI) technology. With AI applications in primary care still at an early stage in Canada and most countries, there is a unique opportunity to engage key stakeholders in exploring how AI would be used and what implementation would look like. Objective To identify the barriers that patients, providers, and health leaders perceive in relation to … Show more

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Cited by 9 publications
(3 citation statements)
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“…While in a study by Darcel et al the regulation of AI was discussed as a factor affecting stakeholders trust in AI, along with implementation requirements, possible bias or inequity and acceptance by stakeholders [23]. The study found that implementation requirements could be a major problem area as each individual business may have differing infrastructure or data requirements.…”
Section: Barriers To Ai Acceptance Within Pcmentioning
confidence: 99%
See 1 more Smart Citation
“…While in a study by Darcel et al the regulation of AI was discussed as a factor affecting stakeholders trust in AI, along with implementation requirements, possible bias or inequity and acceptance by stakeholders [23]. The study found that implementation requirements could be a major problem area as each individual business may have differing infrastructure or data requirements.…”
Section: Barriers To Ai Acceptance Within Pcmentioning
confidence: 99%
“…Stakeholders within PC have access only to data that is required for their specific job role. Consequently, the complex organisational structure of the NHS and its multiple levels act as significant barriers to integrating technology into the healthcare system [20,23]. The following section explores the factors highlighted in the literature as barriers to AI acceptance.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4][5] Primary health care settings have received less attention than other sectors, and there is a need for increased engagement of end-users in development of AI-enabled decision support tools. 6,7 This case study describes the process and lessons learned thus far in co-developing a decision support tool with and for a primary health care organization in Ontario, Canada.…”
Section: Introductionmentioning
confidence: 99%