AI Scribes Cut Doctors' Documentation Time by 69%

Artificial intelligence (AI) scribes have been shown to cut the time physicians spend on documentation during primary‑care visits by 69.1 %, according to a study conducted by University of Toronto PhD student LaShawn Murray. The research, carried out in a simulated clinical setting, measured the difference in documentation time between visits with and without the AI assistant. The results indicate a substantial reduction in administrative burden, allowing clinicians to focus more on patient interaction.

Murray’s team developed a natural‑language processing system that transcribes and organizes clinical notes in real time, automatically populating electronic health records. The study’s methodology involved a randomized crossover design, ensuring that each participant experienced both conditions. The 69.1 % decrease in documentation time was consistent across a range of visit lengths and patient complexity levels, suggesting the technology’s broad applicability.

While the findings are promising, the authors note that further research is needed to assess long‑term effects on workflow, data accuracy, and patient outcomes in real‑world practice. If replicated in clinical settings, AI scribes could streamline primary‑care operations and potentially improve the quality of care by freeing physicians from time‑consuming clerical tasks.