Resource Utilization Prediction

Resource Utilization Prediction is a predictive modeling framework within population health analytics that forecasts the expected consumption of healthcare resources—such as hospital beds, personnel, and medical supplies—by specific populations over defined time periods, distinguishing itself from related forecasting methods through its focus on quantifying demand for health system capacity rather than clinical outcomes or disease incidence.

767

Publications

39.7K

Citations

3.6K

Authors

1.3K

Institutions

Publications per year

2017–2026

305

Authors

3.6K

  1. ZM
    Zobair M. Younossi

    Inova Fairfax Hospital, United States

    6 publications · 303 citations

    6

    h-index

  2. SC
    Shaji C. Menon

    University of Utah, United States

    4 publications · 103 citations

    4

    h-index

  3. HS
    Haiying Shen

    Clemson University, United States

    4 publications · 90 citations

    4

    h-index

  4. LC
    Liuhua Chen

    Clemson University, United States

    4 publications · 90 citations

    4

    h-index

  5. SG
    Shaifu Gupta

    Indian Institute of Technology Mandi, India

    4 publications · 147 citations

    4

    h-index

1–5 of 3.6K

Venues

  1. PubMed

    Repository · 26 publications · 769 citations

    16

    h-index

  2. Journal of Pediatric Surgery

    12 publications · 699 citations

    12

    h-index

  3. Medical Care

    13 publications · 771 citations

    12

    h-index

  4. JAMA

    10 publications · 2.3K citations

    10

    h-index

  5. IEEE Access

    8 publications · 320 citations

    8

    h-index

1–5