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Decision science: a scientific approach to enhance public health budgeting. | LitMetric

AI Article Synopsis

Article Abstract

The allocation of resources for public health programming is a complicated and daunting responsibility. Financial decision-making processes within public health agencies are especially difficult when not supported with techniques for prioritizing and ranking alternatives. This article presents a case study of a decision analysis software model that was applied to the process of identifying funding priorities for public health services in the Spokane Regional Health District. Results on the use of this decision support system provide insights into how decision science models, which have been used for decades in business and industry, can be successfully applied to public health budgeting as a means of strengthening agency financial management processes.

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http://dx.doi.org/10.1097/PHH.0b013e3181c87aceDOI Listing

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