M. A. D. V. Oliva, S. B. Amor, Jaime Manera Bassa, Isabel Caballero Lopez Fando, Ángel Delgado, Pablo de Miguel Bohoyo
{"title":"A decision aiding methodology to compare patient classification systems","authors":"M. A. D. V. Oliva, S. B. Amor, Jaime Manera Bassa, Isabel Caballero Lopez Fando, Ángel Delgado, Pablo de Miguel Bohoyo","doi":"10.1504/IJMCDM.2018.10015562","DOIUrl":null,"url":null,"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.","PeriodicalId":38183,"journal":{"name":"International Journal of Multicriteria Decision Making","volume":"7 1","pages":"177-194"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Multicriteria Decision Making","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJMCDM.2018.10015562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
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.
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