Why using AI saves doctors time but won't fix physician burnout

The adoption of AI in medicine is rapidly increasing, with over 12,000 primary care clinicians participating in Canada's national AI scribe program and nearly one in five Canadian physicians now using AI tools. These AI scribe systems, which listen to clinical visits and draft physician notes with patient consent, have been shown to reduce administrative time by almost 60%.

However, despite the promise of saving time, the use of AI does not seem to solve physician burnout. Burnout is attributed to a complex set of organizational factors such as workload, control, reward, community, fairness, and values, rather than being caused by any single task like paperwork. A study found that electronic health record design and use accounted for only 6.8% of the differences in burnout between clinicians, while work conditions contributed to a much higher 36.2%.

For emergency medicine physicians, interruptions occur 7.9 times per hour, which can nearly triple prescribing error rates. While AI can reduce documentation time, issues such as error checking, fragmented systems, and added workload can offset these savings. The authors propose a framework called GRACE, which includes five principles for responsible AI adoption in healthcare.

Another practical tool, the AI Adoption Matrix, maps organizations based on enablement (access to use and build AI skills) and governance (policies, oversight, and accountability). They encourage health care organizations to assess themselves on this quadrant and aim to become "Responsible Pioneers" with GRACE. The authors urge a responsible approach to AI adoption in healthcare, emphasizing the importance of physician happiness and well-being over simply seeing more patients in a shift.