NHS England is accelerating deployment of artificial intelligence tools across the healthcare system to reduce waiting times an… #Artificialintelligence #Clinicaldocumentation #Healthcareefficiency #NHS #Patientwaitingtimes

A study led by researchers at the University of Toronto found that artificial intelligence (AI) scribes substantially reduced the amount of time physicians spent documenting patient visits during simulated primary care appointments. The study, published in JAMIA Open, involved nine physicians who completed simulated encounters both with and without AI scribe technology. Researchers analyzed video recordings to compare how physicians allocated their time. When AI scribes were used, physicians spent 69.1% less time on clinical documentation. Without the technology, doctors devoted more than one-third of each simulated encounter to note-taking. AI scribes instead recorded the encounter and generated structured clinical notes that physicians could subsequently review and edit. Researchers observed that this workflow reduced interruptions during patient interactions and shifted documentation activity toward reviewing and correcting AI-generated notes. The researchers also identified an unexpected change in physicians' workflow. Some doctors used scratch pads to record thoughts and reminders during appointments, suggesting that conventional note-taking may support clinical reasoning and the formulation of follow-up questions. This finding highlights that reducing documentation time could also change how physicians organize information and make clinical decisions during consultations. The research is part of a broader University of Toronto and Women's College Hospital project examining AI technology in Canadian health care. The researchers emphasized the importance of studying the Ontario context because privacy regulations and health-care practices can differ from those in the United States. The findings do not establish how AI scribes will perform in routine clinical practice. The study used simulated encounters and involved only nine physicians. Further research is needed to examine real-world documentation quality, patient acceptance, privacy concerns, consent, and effects across different patient populations. Researchers also note that AI scribes address only one component of physicians' administrative workload, which can also include referrals, prescription orders, billing, and regulatory requirements.

About the Role Mercor is hiring certified medical coders on behalf of a healthcare AI partner building advanced clinical documentation tools. In this role you…

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