focalinterest.net

Tag: Health Services & Management

  • Dutch L1 teachers show moderate acceptance of GenAI

    What the study found

    The study found that Dutch secondary school L1 teachers had a moderate degree of acceptance toward generative AI (GenAI), which refers to AI systems that generate text or other content. They also saw both concerns and possibilities in using it, especially for writing instruction.

    Why the authors say this matters

    The authors say it is important to consider L1 teachers' beliefs about GenAI and how it is affecting different domains of L1 education. The study suggests that more efforts are needed to inform L1 teachers that critical reflection on GenAI could also be done in linguistics and literature education.

    What the researchers tested

    The researchers conducted an exploratory survey study with 124 L1 teachers from Dutch secondary schools. They examined teachers' beliefs about the use of GenAI in secondary education.

    What worked and what didn't

    The findings show that GenAI is broadly discussed in schools and used by most students, but adequate policies and teaching materials are scarce. Significant differences were found across different levels of secondary education, and teachers expressed different degrees of concern about problematic aspects of GenAI use.

    What to keep in mind

    The abstract describes only Dutch secondary schools and L1 teachers, so the findings are limited to that context. Limitations beyond the study scope are not described in the available summary.

    • The study surveyed 124 L1 teachers in Dutch secondary schools.
    • Teachers showed a moderate level of acceptance of GenAI.
    • GenAI was broadly discussed in schools and used by most students.
    • Policies and teaching materials on GenAI were described as scarce.
    • Teachers saw GenAI mainly as relevant to writing instruction, but also as something to reflect on in linguistics and literature.

  • AI scribes were linked to less EHR time and more visits

    What the study found

    Adopting AI-powered scribes was associated with modest reductions in clinicians' electronic health record (EHR) time and documentation time, along with a small increase in weekly visit volume. The study also found no significant change in EHR time outside work hours.

    Why the authors say this matters

    The authors say AI-enabled scribes have been proposed to reduce EHR burden and improve clinician satisfaction, and their findings add evidence about associated results across multiple sites and clinician groups. The study suggests the benefits may differ by clinician characteristics.

    What the researchers tested

    The researchers conducted a multisite, longitudinal cohort study at 5 U.S. academic health care institutions that introduced AI scribes between June 2023 and August 2025. They studied ambulatory clinicians and compared changes after AI scribe adoption in total EHR time, documentation time, EHR time outside scheduled hours or on unscheduled days, and weekly visit volume, all normalized to 8 scheduled patient hours.

    What worked and what didn't

    In a difference-in-differences analysis, AI scribe adoption was associated with 13.4 fewer minutes of total EHR time per 8 scheduled patient hours and 16.0 fewer minutes of documentation time. It was also associated with 0.49 additional weekly visits delivered, while EHR time outside work hours did not change significantly. The largest changes were seen among primary care specialists, advanced practice clinicians, female clinicians, and clinicians who used AI scribes in 50% or more of visits.

    What to keep in mind

    The abstract does not describe detailed limitations beyond noting limited evidence before this study. The findings reflect associations in ambulatory clinicians at 5 U.S. academic health care institutions, so the summary does not establish causation beyond the study design.

    • AI scribe adoption was associated with 13.4 fewer minutes of total EHR time per 8 scheduled patient hours.
    • Documentation time fell by 16.0 minutes, on average, after adoption.
    • Weekly visit volume increased by 0.49 visits.
    • EHR time outside work hours did not change significantly.
    • The biggest changes were seen in primary care, advanced practice clinicians, female clinicians, and heavier AI scribe users.

  • Interview highlights priorities in Korean medical education

    What the study found

    The interview presents Professor Young-Mee Lee’s views on three main issues in Korean medical education: the qualities medical students need, the role of artificial intelligence (AI), and the educational meaning of the combined six-year medical curriculum. She also argues that trust among faculty, students, and society is important for meaningful innovation in medical education.

    Why the authors say this matters

    The authors present the interview as relevant to current discussions about medical education in Korea. The study suggests that understanding these views may help frame how medical training, AI education, and curriculum design are discussed.

    What the researchers tested

    This article is an interview with Professor Young-Mee Lee of Korea University College of Medicine, the recipient of the 14th Medical Education Innovation Award from the Korean Association of Medical Colleges. It reports her perspectives rather than testing a hypothesis or evaluating an intervention.

    What worked and what didn't

    Professor Lee identified humility and self-directed learning as core qualities for medical students and described professionalism as a foundational concept in medical training. She outlined six core competency domains for AI education and said critical reasoning remains uniquely human; she also supported the combined six-year curriculum as a structure for continuous self-reflection and intentional student development.

    What to keep in mind

    The available text is an interview summary, not a comparative study or outcome evaluation. It does not report data, measurements, or independent verification of the views expressed.

    • The article reports an interview with Professor Young-Mee Lee about medical education in Korea.
    • She names humility and self-directed learning as core student qualities.
    • She discusses AI education and says critical reasoning cannot be replaced by technology.
    • She supports Korea’s combined six-year medical curriculum as a setting for self-reflection and student development.
    • She says innovation in medical education requires restored trust among faculty, students, and society.