Massive Hemorrhage Algorithms

Massive Hemorrhage Algorithms is a standardized clinical decision-making framework designed to guide rapid, protocolized resuscitation and transfusion interventions in response to life-threatening bleeding, distinguishing it from general transfusion guidelines through its focus on real-time, coordinated responses to acute, large-volume blood loss.

15

Publications

955

Citations

77

Authors

43

Institutions

Publications per year

2017–2026

3

Authors

77

  1. JA
    José A. Páramo

    Universidad de Navarra, Spain

    2 publications · 51 citations

    2

    h-index

  2. FB
    Frank B. Miller

    University of Louisville, United States

    2 publications · 393 citations

    2

    h-index

  3. VC
    Victoria Chin

    Sunnybrook Health Science Centre, Canada

    1 publications · 20 citations

    1

    h-index

  4. AS
    Andrew Schachat

    Johns Hopkins University, United States

    1 publications · 160 citations

    1

    h-index

  5. SK
    Sirat Khan

    Queen Mary University of London, United Kingdom

    1 publications · 91 citations

    1

    h-index

1–5 of 77

Venues

  1. Injury

    2 publications · 111 citations

    2

    h-index

  2. 2

    h-index

  3. Otolaryngology

    1 publications · 27 citations

    1

    h-index

  4. 1

    h-index

  5. Transfusion Medicine and Hemotherapy

    1 publications · 49 citations

    1

    h-index

1–5