Suitability of referenced models for designing balanced scorecards in Healthcare Organizations
Abstract
Purpose: Nowadays, the healthcare sector is shifting towards a new management model more oriented to patients. This transformation necessitates the promotion of better coordination among various healthcare services. Consequently, this entails a revision of their Balanced Scorecard framework to measure future outcomes related to patient health and well-being. The aim of this research is to identify the methodologies used in the development of a BSC for healthcare organizations and to assess its effectiveness in measuring and monitoring the management objectives.
Design/methodology/approach: The study was conducted through a comprehensive literature review of the literature from 2013 to 2022 related to the design of BSC in healthcare organizations.
Findings: Based on the findings of this research, we conclude that none of the identified reference models adequately address the comprehensive objectives of healthcare organizations. Hence, further research is needed aimed at proposing a model adapted to the evolving management model of the healthcare organizations.
Practical implications: This present study improves the underlying motivations driving healthcare organizations to adopt Balanced Scorecards (BSCs) and align them with the strategic objectives, quality systems and processes, to facilitate more informed decision-making. Consequently, this research is relevant in the context of selecting an appropriate methodology for designing, implementing, and enhancing BSCs in a healthcare organization.
Originality/value: This is one of pioneering efforts to assess the influence of the Balance Scorecard on decision-making within healthcare organizations, considering aspects encompassing strategy, quality systems and the performance indicators performance as well as the relation between them.
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PDFDOI: https://doi.org/10.3926/jiem.6793
This work is licensed under a Creative Commons Attribution 4.0 International License
Journal of Industrial Engineering and Management, 2008-2025
Online ISSN: 2013-0953; Print ISSN: 2013-8423; Online DL: B-28744-2008
Publisher: OmniaScience