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.
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39.7K
Citations
3.6K
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1.3K
Institutions
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2017–2026
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Johns Hopkins University
Baltimore, United States
17 h-index
72 publications
4.2K citations
Harvard University
Cambridge, United States
17 h-index
55 publications
4.3K citations
Stanford University
Stanford, United States
14 h-index
55 publications
2.1K citations

Brigham and Women's Hospital
Boston, United States
12 h-index
42 publications
4.2K citations
University of California, San Francisco
San Francisco, United States
12 h-index
48 publications
2.2K citations
University of Michigan
Ann Arbor, United States
12 h-index
37 publications
1.5K citations
Mayo Clinic
Rochester, United States
12 h-index
41 publications
1.5K citations
University of Utah
Salt Lake City, United States
11 h-index
40 publications
1.5K citations
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Repository · 26 publications · 769 citations
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10 publications · 2.3K citations
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8 publications · 320 citations
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