Forecasting hospital census at a tertiary care children's hospital.

Nephi Walton, Mollie R. Poynton, Chris Maloney, Per H. Gesteland

Research output: Contribution to journalArticlepeer-review


Developing a forecasting tool for patient census allows for improved staffing, better resource utilization and mobilization, and improved timing of educational campaigns around the disease control process. Using a neural network approach we evaluated several different models and variables for predicting patient census prospectively. These initial studies enabled selection of a subset of predictor variables and show that different network models, and variables must be used based on the season.

Original languageEnglish (US)
Pages (from-to)1147
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2007
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)


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