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

Nephi Walton, Mollie R. Poynton, Christopher G Maloney, Per H. Gesteland

Research output: Contribution to journalArticle

Abstract

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)
Number of pages1
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - Jan 1 2007

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Tertiary Healthcare

ASJC Scopus subject areas

  • Medicine(all)

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Forecasting hospital census at a tertiary care children's hospital. / Walton, Nephi; Poynton, Mollie R.; Maloney, Christopher G; Gesteland, Per H.

In: AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium, 01.01.2007.

Research output: Contribution to journalArticle

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