Readmission Modeling

Readmission Modeling is a computational or statistical framework designed to predict or analyze the likelihood of patients being readmitted to a healthcare facility following an initial discharge, distinguished by its focus on identifying risk factors, temporal patterns, and clinical or operational determinants influencing readmission outcomes.

304

Publications

15K

Citations

1.5K

Authors

568

Institutions

Publications per year

2017–2026

146

Authors

1.5K

  1. HM
    Harlan M. Krumholz

    Yale University, United States

    7 publications · 686 citations

    7

    h-index

  2. EE
    Elizabeth E. Drye

    Yale University, United States

    6 publications · 672 citations

    6

    h-index

  3. ST
    Sharon‐Lise T. Normand

    Harvard University, United States

    5 publications · 596 citations

    5

    h-index

  4. ZL
    Zhenqiu Lin

    Yale University, United States

    5 publications · 597 citations

    5

    h-index

  5. CS
    Claudia Steiner

    Agency for Healthcare Research and Quality, United States

    5 publications · 231 citations

    5

    h-index

1–5 of 1.5K

Venues

  1. PubMed

    Repository · 11 publications · 483 citations

    11

    h-index

  2. Medical Care

    8 publications · 733 citations

    8

    h-index

  3. 7

    h-index

  4. Journal of Hospital Medicine

    JHM · 7 publications · 191 citations

    7

    h-index

  5. Journal of the American Heart Association

    JAHA · 7 publications · 183 citations

    7

    h-index

1–5