Extravasation Management Algorithms

Extravasation Management Algorithms is a clinical decision-support framework that systematically guides healthcare practitioners in the assessment, intervention, and monitoring of extravasation incidents by integrating evidence-based protocols, risk stratification, and treatment pathways to standardize care and optimize patient outcomes.

16

Publications

576

Citations

48

Authors

24

Institutions

Publications per year

2017–2026

2

Authors

48

  1. DL
    David L. Larson

    Medical College of Wisconsin, United States

    2 publications · 210 citations

    2

    h-index

  2. DC
    Dawn Camp-Sorrell

    Louisiana State University Health Sciences Center New Orleans, United States

    1 publications · 72 citations

    1

    h-index

  3. RS
    Robin Stuart‐Harris

    Canberra Hospital, Australia

    1 publications · 72 citations

    1

    h-index

  4. SC
    Sara Carella

    Sapienza University of Rome, Italy

    1 publications · 34 citations

    1

    h-index

  5. FF
    Federica Filippi

    University of Bologna, Italy

    1 publications · 11 citations

    1

    h-index

1–5 of 48

Venues

  1. Nursing

    2 publications · 32 citations

    2

    h-index

  2. Plastic & Reconstructive Surgery

    2 publications · 210 citations

    2

    h-index

  3. PubMed

    Repository · 2 publications · 82 citations

    2

    h-index

  4. Supportive Care in Cancer

    2 publications · 47 citations

    2

    h-index

  5. International Wound Journal

    IWJ · 1 publications · 15 citations

    1

    h-index

1–5