Fourteen primary health care and digital health stakeholders participated in in-depth interviews. These participants had dual roles in some cases and included: four decision makers; two decision maker/researchers; five primary health care practitioner/researchers; and three researchers. Participants had varying levels of exposure to AI use in primary health care but all had interest and/or knowledge about AI.
“Those companies are already here. And they’re already going to be putting stuff into place before primary health care can even lift its head up to realize that it’s here”Overall, participants noted a need to capitalize on the use of AI in primary health care, as one participant stated: “Yeah, AI will never be able to do that… reading the body language, reading emotions, the longstanding relationship you have with that patient. So that has to be seen as always being a peg above what AI could do”.Within this theme, there was disinterest in the inner workings of AI tools—rather, participants were focused on what AI could do for them.
“Now, something that could come into place and relieve some of that burden, that’s great. But, if it could add to that stress at all, what if the AI gets it wrong?” “I spend a lot of time going through refilling prescriptions… just looking at, “Oh, there’s John, his blood pressure’s good …three more months or a years’ supply.” Similar for maybe diabetic refills…. could, in the back end, the AI read maybe an NLP [natural language processing], to look at those indicators of blood pressure, lab parameters, and have some intuition, this would be fine, to release that.
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