Improving disease misclassification and prevalence estimates by linking primary and secondary care electronic health records: an illustration from arthritis research - Top-Institutions - MDSpire

Improving disease misclassification and prevalence estimates by linking primary and secondary care electronic health records: an illustration from arthritis research

  • By

  • Belay Birlie Yimer

  • Fangyuan Zhang

  • Jenny Humphreys

  • Mark Lunt

  • Meghna Jani

  • John McBeth

  • William G Dixon

  • September 17, 2025

  • 0 min

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Top Institutions in Rheumatology

Brief introduction explaining scope and methodology.

  • #1

    University of Oxford
    University of Oxford

    Oxford, Oxfordshire

    Key Differentiators

    • Rheumatology
    • Epidemiology
    • Health Informatics

  • #2

    Johns Hopkins University
    Johns Hopkins University

    Baltimore, Maryland

    Key Differentiators

    • Rheumatology
    • Biomedical Informatics
    • Epidemiology

  • #3

    Mayo Clinic
    Mayo Clinic

    Rochester, Minnesota

    Key Differentiators

    • Rheumatology
    • Clinical Epidemiology
    • Health Data Science

  • #4

    King’s College London
    King’s College London

    London, England

    Key Differentiators

    • Rheumatology
    • Health Informatics
    • Epidemiology

  • #5

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

    San Francisco, California

    Key Differentiators

    • Rheumatology
    • Biomedical Informatics
    • Epidemiology

Original Source(s)

Improving disease misclassification and prevalence estimates by linking primary and secondary care electronic health records: an illustration from arthritis research

  • by Belay Birlie Yimer, Fangyuan Zhang, Jenny Humphreys, Mark Lunt, Meghna Jani, John McBeth, William G Dixon

  • September 17, 2025

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