AI Scribes: Efficiency for Whom? - Top-Institutions - MDSpire

AI Scribes: Efficiency for Whom?

Unresolved safety, privacy, and regulatory concerns may limit benefits of AI scribes for physicians and patients.

  • By

  • Kathryn Wighton

  • January 27, 2026

  • 3 min

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Top Institutions in Internal Medicine

Brief introduction explaining scope and methodology.

  • #1

    University of Chicago
    University of Chicago

    Chicago, IL

    Key Differentiators

    • Clinical Medical Ethics
    • Health Informatics
    • AI in Medicine

  • #2

    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)
    Massachusetts Institute of Technology (MIT) - Computer Science and Artificial Intelligence Laboratory (CSAIL)

    Cambridge, MA

    Key Differentiators

    • Artificial Intelligence
    • Health Informatics
    • Machine Learning

  • #3

    Stanford University School of Medicine
    Stanford University School of Medicine

    Stanford, CA

    Key Differentiators

    • Biomedical Informatics
    • Clinical AI
    • Medical Ethics

  • #4

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, MD

    Key Differentiators

    • Health Policy
    • Clinical Informatics
    • Patient Safety

  • #5

    University of California, San Francisco (UCSF)
    University of California, San Francisco (UCSF)

    San Francisco, CA

    Key Differentiators

    • Clinical Informatics
    • AI Ethics
    • Healthcare Quality

Original Source(s)

AI Scribes: Efficiency for Whom?

  • by Kathryn Wighton

  • January 27, 2026

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