Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process
Journal of Advances in Management Research
Article publication date: 28 October 2014
The purpose of this paper is to develop a Balanced Scorecard-based performance measurement framework for health care system.
An integrated ISM-ANP-based quantitative approach is used for the development of balance scorecard for health care system. The necessary insights are drawn from the secondary literature.
This research identifies Key Performance Indicators and their interrelationships for health care system. An integrated approach of ISM and ANP is employed for the development of balance scorecard.
The findings of the research are based on insights gained from secondary literature and an analysis of five cases in health care segment and hence generalization of proposed framework is limited to the system representing some commonalities with chosen cases.
Health care is the diagnosis, treatment and prevention of disease, illness, injury and other physical and mental impairments in humans. Access to health care varies across countries, groups and individuals, largely influenced by social and economic conditions as well as the health policies in place. The changing nature of today's health care organizations, including pressure to reduce costs, improve the quality of care and meet stringent guidelines, has forced health care professionals to re-examine how they evaluate their performance.
The Balanced Scorecard health care expanded organization measures beyond financial analysis. It was first proposed by Robert S. Kaplan and David P. Norton in their book “The Balanced Scorecard (1996, Harvard Business School Press).” This research reports a development of Balanced Scorecard for health care using an integrated approach of Interpretive Structural Modeling and Analytic Network Process is used.
Meena, K. and Thakkar, J. (2014), "Development of Balanced Scorecard for healthcare using Interpretive Structural Modeling and Analytic Network Process", Journal of Advances in Management Research, Vol. 11 No. 3, pp. 232-256. https://doi.org/10.1108/JAMR-12-2012-0051
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