Artificial intelligence for secondary prevention of myocardial infarction: A qualitative study of patient and health professional perspectives

Background: Artificial intelligence (AI) has potential to improve self-management of several chronic conditions. However, the perspective of patients and healthcare professionals regarding AI-enabled health management programs, which are key to successful implementation, remains poorly understoodPurpose: To explore the opinions of people with a history of myocardial infarction (PHMI) and health pro-fessionals on the use of AI for secondary prevention of MI. Procedure: Three rounds of focus groups were conducted via videoconferencing with 38 participants: 22 PHMI and 16 health professionals.Findings: We identified 21 concepts stemming from participants' views, which we classified into five categories: Trust; Expected Functions; Adoption; Concerns; and Perceived Benefits. Trust covered the credibility of infor-mation and safety to believe health advice. Expected Functions covered tailored feedback and personalised advice. Adoption included usability features and overall interest in AI. Concerns originated from previous negative experience with AI. Perceived Benefits included the usefulness of AI to provide advice when regular contact with healthcare services is not feasible. Health professionals were more optimistic than PHMI about the usefulness of AI for improving health behaviour.Conclusions: Altogether, our findings provide key insights from end-users to improve the likelihood of successful implementation and adoption of AI-enabled systems in the context of MI, as an exemplar of broader applications in chronic disease management.