© LALAKA – stock.adobe.com As the primary care industry grapples with high burnout rates and unsustainable workloads, many physicians have turned to artificial intelligence (AI) as a potential lifeline. A special report in the January 2025 issue of Annals of Family Medicine contends that, in order for AI to successfully transform primary care, the industry must focus on solving specific, pressing issues—beginning with clinicians’ time.
The report, authored by John Thomas Menchaca, MD, of the University of Utah, argues that AI tools will fail unless designed to tackle the right challenges. “The key will be to start with the right problem before jumping to solutions,” Menchaca writes, likening poorly targeted innovations to the Segway, a notoriously overhyped transportation tool that never truly met consumer needs.
Instead, Menchaca points to the success of rentable scooters—narrowly tailored to address the “last mile” challenge of urban commutes—as a model for AI’s potential. The primary care equivalent of this “last mile” issue, Menchaca suggests, is time: clinicians spend too much time working, particularly dealing with electronic health records (EHRs). Time and physician burnout
Menchaca points to a 2017 Annals of Family Medicine study , which determined that, on average, full-time primary care physicians spend more than 11 hours daily on work, with more than half of that time devoted to EHR tasks, including documentation, chart reviews and patient messaging. This workload, specifically extended time spent in EHRs, has been repeatedly linked to higher rates of burnout.
Menchaca identifies documentation as the most promising area for AI intervention. AI-powered tools, like automated transcription and note generation, are already emerging, with the potential to cut hours off clinicians’ daily routines. However, the report cautions that early iterations of these AI tools often fall short. Clinicians at the recent Artificial Intelligence in Medicine (AIME) conference expressed frustration that AI-generated notes often require substantial editing, undermining their time-saving intentions. Additional targets for AI
Beyond documentation, Menchaca argues that other EHR-related tasks could benefit from AI solutions. Medication management, for instance, stands out as a key opportunity for AI innovation. Menchaca highlights research demonstrating that clinicians with in-clinic pharmacy […]
A special report on AI in primary care from Annals of Family Medicine
