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改善医疗保健需求预测的四种方法。

Four methodologies to improve healthcare demand forecasting.

作者信息

Côté M J, Tucker S L

机构信息

Department of Health Services Administration, University of Florida, Gainesville, Florida, USA.

出版信息

Healthc Financ Manage. 2001 May;55(5):54-8.

Abstract

Forecasting demand for health services is an important step in managerial decision making for all healthcare organizations. This task, which often is assumed by financial managers, first requires the compilation and examination of historical information. Although many quantitative forecasting methods exist, four common methods of forecasting are percent adjustment, 12-month moving average, trendline, and seasonalized forecast. These four methods are all based upon the organization's recent historical demand. Healthcare financial managers who want to project demand for healthcare services in their facility should understand the advantages and disadvantages of each method and then select the method that will best meet the organization's needs.

摘要

预测医疗服务需求是所有医疗保健组织管理决策中的重要一步。这项通常由财务经理承担的任务,首先需要收集和审查历史信息。尽管存在许多定量预测方法,但四种常见的预测方法是百分比调整、12个月移动平均线、趋势线和季节性预测。这四种方法均基于该组织近期的历史需求。想要预测其机构医疗服务需求的医疗保健财务经理应了解每种方法的优缺点,然后选择最能满足该组织需求的方法。

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