Productivity growth and efficiency measurement in fuzzy environment with application to health care

Date

2012

Advisors

Journal Title

Journal ISSN

ISSN

Volume Title

Publisher

IGI GLOBAL

Type

Article

Peer reviewed

Yes

Abstract

Health care organizations must continuously improve their productivity to sustain long-term growth and profitability. Sustainable productivity performance is mostly assumed to be a natural outcome of successful health care management. Data envelopment analysis (DEA) is a popular mathematical programming method for comparing the inputs and outputs of a set of homogenous decision making units (DMUs) by evaluating their relative efficiency. The Malmquist productivity index (MPI) is widely used for productivity analysis by relying on constructing a best practice frontier and calculating the relative performance of a DMU for different time periods. The conventional DEA requires accurate and crisp data to calculate the MPI. However, the real-world data are often imprecise and vague. In this study, the authors propose a novel productivity measurement approach in fuzzy environments with MPI. An application of the proposed approach in health care is presented to demonstrate the simplicity and efficacy of the procedures and algorithms in a hospital efficiency study conducted for a State Office of Inspector General in the United States.

Description

Keywords

Data envelopment analysis, Health care management, Malmquist Productivity Index (MPI)

Citation

Hatami-Marbini, A., Tavana, M. and Emrouznejad, A. (2012) Productivity growth and efficiency measurement in fuzzy environment with application to health care. International Journal of Fuzzy System Applications (IJFSA), 2 (2),

Rights

Research Institute

Centre for Enterprise and Innovation (CEI)