A decision aiding methodology to compare patient classification systems

Q4 Business, Management and Accounting
M. A. D. V. Oliva, S. B. Amor, Jaime Manera Bassa, Isabel Caballero Lopez Fando, Ángel Delgado, Pablo de Miguel Bohoyo
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引用次数: 0

Abstract

Spanish public hospitals funding depends on the classification of attended pathologies. These pathologies are grouped thanks to a patient classification system (PCS) into the so-called diagnostic related groups (DRGs). International Classification of Diseases (ICD) coding systems generate various DRGs. Based on the ICD-9, the all patients diagnostic related groups (AP-DRGs) were used. In January 2016, Spain adopted ICD-10. One of the casualties from this transition was the AP-DRG PCS which did not accept information coded with ICD-10. A new system had to be adopted. In this paper we develop a methodology to assist decision-makers who are charged with evaluating and determining replacement PCS in the context of scarce resources and limited hospital funding. We ground our approach in a rigorous analytical framework is order to understand the pros and cons of candidate systems, from both clinical and managerial perspectives. We propose a multicriteria decision-aiding approach based on the outranking method, ELECTRE III to produce a ranking of the different options. The methodology is applied to a case study of a Spanish hospital where the change from ICD-9 to ICD-10 has already occurred.
一种比较患者分类系统的决策辅助方法
西班牙公立医院的资金来源取决于就诊的病种分类。由于患者分类系统(PCS),这些病理被归类为所谓的诊断相关组(DRGs)。国际疾病分类(ICD)编码系统产生各种DRGs。基于ICD-9,采用所有患者诊断相关组(AP-DRGs)。2016年1月,西班牙通过了ICD-10。这种转变的受害者之一是AP-DRG PCS,它们不接受ICD-10编码的信息。必须采用一种新的制度。在本文中,我们开发了一种方法来帮助决策者在资源稀缺和医院资金有限的情况下负责评估和确定替换PCS。我们将我们的方法建立在一个严格的分析框架上,以便从临床和管理的角度了解候选系统的利弊。我们提出了一种基于超排序方法的多标准决策辅助方法,ELECTRE III产生不同选项的排序。该方法应用于西班牙一家医院的案例研究,该医院已经发生了从ICD-9到ICD-10的变化。
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来源期刊
International Journal of Multicriteria Decision Making
International Journal of Multicriteria Decision Making Business, Management and Accounting-Strategy and Management
CiteScore
0.70
自引率
0.00%
发文量
9
期刊介绍: IJMCDM is a scholarly journal that publishes high quality research contributing to the theory and practice of decision making in ill-structured problems involving multiple criteria, goals and objectives. The journal publishes papers concerning all aspects of multicriteria decision making (MCDM), including theoretical studies, empirical investigations, comparisons and real-world applications. Papers exploring the connections with other disciplines in operations research and management science are particularly welcome. Topics covered include: -Artificial intelligence, evolutionary computation, soft computing in MCDM -Conjoint/performance measurement -Decision making under uncertainty -Disaggregation analysis, preference learning/elicitation -Group decision making, multicriteria games -Multi-attribute utility/value theory -Multi-criteria decision support systems and knowledge-based systems -Multi-objective mathematical programming -Outranking relations theory -Preference modelling -Problem structuring with multiple criteria -Risk analysis/modelling, sensitivity/robustness analysis -Social choice models -Theoretical foundations of MCDM, rough set theory -Innovative applied research in relevant fields
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