Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study - Summary - MDSpire

Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study

  • By

  • Enni Sanmark

  • Ville Vartiainen

  • Johan Sanmark

  • Katarina Wettin

  • Lukas Saari

  • Artin Entezarjou

  • July 10, 2026

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Objective:

To evaluate the association of a fully deployed AI medical scribe on clinical documentation time and clinician experience in primary and secondary care across multiple specialties.

Approach:
  • Study Design: A mixed methods retrospective observational analysis of clinician survey responses and operational note metadata.
  • Ethical Considerations: The study involved analysis of deidentified, aggregated survey data, thus not requiring ethical approval.
Key Findings:
  • AI medical scribes can potentially reduce documentation burden and improve clinician workflow.
  • The effectiveness of AI-assisted clinical documentation varies across clinical specialties and workflows.
  • The AI medical scribe used in the study complies with EU Medical Device Regulation and GDPR.
Interpretation:

Limitations:
  • Evidence from European countries regarding AI medical scribes remains limited.
  • The study did not involve direct patient-level data collection.
Conclusion:

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