Algorithmic Triage Systems

Algorithmic Triage Systems is a computational framework that systematically prioritizes incoming healthcare requests by applying predefined clinical rules or machine learning models to assess urgency, distinguishing it from manual or human-based triage approaches through automated decision logic.

28

Publications

1.2K

Citations

203

Authors

80

Institutions

Publications per year

2017–2026

17

Authors

203

  1. SL
    Scott Levin

    Johns Hopkins University, United States

    2 publications · 454 citations

    2

    h-index

  2. JS
    Jeremiah S. Hinson

    Johns Hopkins University, United States

    2 publications · 454 citations

    2

    h-index

  3. LW
    Linda Wilson

    Joint Base San Antonio, United States

    2 publications · 40 citations

    2

    h-index

  4. FP
    Frank P. Wilson

    Joint Base San Antonio, United States

    2 publications · 40 citations

    2

    h-index

  5. SY
    Se Young Jung

    Seoul National University Bundang Hospital, South Korea

    1 publications · 20 citations

    1

    h-index

1–5 of 203

Venues

  1. Annals of Emergency Medicine

    5 publications · 514 citations

    5

    h-index

  2. Journal of the American College of Emergency Physicians

    JACEP · 2 publications · 33 citations

    2

    h-index

  3. Neurosurgical FOCUS

    1 publications · 12 citations

    1

    h-index

  4. Health Care Management Science

    HCMS · 1 publications · 17 citations

    1

    h-index

  5. International Journal of E-Health and Medical Communications

    IJEHMC · 1 publications · 11 citations

    1

    h-index

1–5