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Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System:
Enni Sanmark1, Ville Vartiainen1, Johan Sanmark2
1Heart and Lung Center, Helsinki University Hospital, Stenbäckinkatu 8, Helsinki, Uusimaa, 00250, Finland, 358 408446940.
Artificial intelligence (AI) medical scribes reduced clinician documentation time by 29% and administrative stress, while increasing patient presence. These findings in a European health system align with US-based studies, though generalizability requires further research.
Area of Science:
- Health Informatics
- Clinical Workflow Optimization
- Artificial Intelligence in Healthcare
Background:
- Clinician documentation is time-consuming, leading to workflow inefficiencies, reduced patient interaction, and burnout.
- AI medical scribes offer a potential solution, but real-world European data are scarce.
- This study evaluates AI scribe impact using objective editing metadata and clinician surveys.
Purpose of the Study:
- To assess the association between AI medical scribe use and changes in clinician documentation time.
- To evaluate the impact of AI medical scribes on clinician experience, including administrative stress and patient presence.
Main Methods:
- Observational, real-world evaluation in a Swedish healthcare provider (Capio Ramsay Santé) from April 2024 to October 2025.
- Utilized objective editing metadata from 236,153 notes by 1295 clinicians.
- Included paired survey responses from 177 fully onboarded clinicians (used scribe >3 months, >100 notes).
Main Results:
- AI scribe use decreased estimated documentation time per note by 29% (4.72 vs 6.69 minutes, P<.001).
- Clinicians reported significantly higher ability to work without administrative stress (3.14 vs 2.41, P<.001).
- Perceived presence with patients increased significantly (4.33 vs 3.73, P<.001); median editing time was 93 seconds.
Conclusions:
- Sustained AI medical scribe adoption in a European setting correlates with reduced documentation time, administrative stress, and increased patient presence.
- Findings are consistent with prior US studies but may not generalize to non-adopters or all specialties.
- Limitations include single-arm design, reliance on self-report, and exclusion of zero-edit time notes.
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