Implementing artificial intelligence in Canadian primary care: Barriers and strategies identified through a national deliberative dialogue
As Artificial Intelligence (AI) continues to advance and more health data becomes available through electronic health records, it is important to understand how AI or computer systems combined with datasets enable problem-solving in primary care settings. Previous studies have focused on developing AI tools; however, implementing them into practice remains a barrier. Researchers in Canada have identified trust as a key component in using AI in primary care and suggest “designing with, rather than for” stakeholders could promote the adoption of AI tools and patient-centred care.
In a study published in PLOS ONE, researchers gathered the perspectives of patients, primary care providers, and health system leaders through virtual deliberative dialogues to identify barriers and strategies to implement AI in primary care. The findings highlight four themes: (1) system and data readiness, (2) potential for bias and inequity, (3) regulation of AI and big data, and (4) importance of people as technology enablers.
