Literature DB >> 10280837

Modern methods improve hospital forecasting.

W E Sterk, E G Shryock.   

Abstract

This study has shown that a sophisticated statistical technique can lead to better patient days forecasts and should lead to more accurate budgets for those hospitals using forecast budgets. Also, the modified time series decomposition method that adapts to sudden shifts in the environment can be used for not only changes in reimbursement mechanisms, but other changes, such as increased beds, as well.

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Year:  1987        PMID: 10280837

Source DB:  PubMed          Journal:  Healthc Financ Manage        ISSN: 0735-0732


  4 in total

1.  Forecasting demand of emergency care.

Authors:  Simon Andrew Jones; Mark Patrick Joy; Jon Pearson
Journal:  Health Care Manag Sci       Date:  2002-11

2.  Choice of models for the analysis and forecasting of hospital beds.

Authors:  Mark Mackay; Michael Lee
Journal:  Health Care Manag Sci       Date:  2005-08

3.  Forecasting peak asthma admissions in London: an application of quantile regression models.

Authors:  Ireneous N Soyiri; Daniel D Reidpath; Christophe Sarran
Journal:  Int J Biometeorol       Date:  2012-08-12       Impact factor: 3.787

4.  Forecasting daily attendances at an emergency department to aid resource planning.

Authors:  Yan Sun; Bee Hoon Heng; Yian Tay Seow; Eillyne Seow
Journal:  BMC Emerg Med       Date:  2009-01-29
  4 in total

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