Chief Complaint Data Quality

Chief Complaint Data Quality is a metric that assesses the accuracy, completeness, consistency, and timeliness of patient-reported chief complaint information within syndromic surveillance systems to ensure its reliability and utility for real-time public health monitoring and decision-making.

9

Publications

302

Citations

55

Authors

26

Institutions

Publications per year

2017–2026

1

Authors

55

  1. SS
    Sarah Santana

    Columbia University, United States

    2 publications · 76 citations

    2

    h-index

  2. RL
    Ruth L. Berkelman

    Centers for Disease Control and Prevention, United States

    2 publications · 76 citations

    2

    h-index

  3. AT
    Aaron T. Fleischauer

    Centers for Disease Control and Prevention, United States

    2 publications · 76 citations

    2

    h-index

  4. MI
    Mitchell I. Wolfe

    Centers for Disease Control and Prevention, United States

    2 publications · 76 citations

    2

    h-index

  5. VV
    Victorio Vaz

    Centers for Disease Control and Prevention, United States

    2 publications · 76 citations

    2

    h-index

1–5 of 55

Venues

  1. Academic Emergency Medicine

    AEM · 5 publications · 194 citations

    5

    h-index

  2. The American Journal of Emergency Medicine

    AJEM · 1 publications · 11 citations

    1

    h-index

  3. PsycEXTRA Dataset

    Repository · 1 publications · 33 citations

    1

    h-index

  4. PubMed

    Repository · 1 publications · 27 citations

    1

    h-index

  5. Journal of Biomedical Informatics

    1 publications · 37 citations

    1

    h-index

1–5