Yaşar Gökalp, Serkan Eti, Hasan Dinçer, Serhat Yüksel
{"title":"A novel approach to prioritizing health technology investments using integrated AI-based ranking model.","authors":"Yaşar Gökalp, Serkan Eti, Hasan Dinçer, Serhat Yüksel","doi":"10.1108/JHOM-05-2024-0190","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>Health technologies are an issue that directly affects the sustainability and quality of health services. Due to budget constraints, it is not financially possible for businesses to apply comprehensive improvement strategies to all these criteria. In this case, it is possible for businesses to implement more priority strategies. Accordingly, the main purpose of this study is to evaluate the important performance indicators of health technology investments.</p><p><strong>Design/methodology/approach: </strong>Firstly, with the help of the artificial intelligence system, a decision matrix is established. Secondly, spherical fuzzy total order of preference decision-making trial and evaluation laboratory methodology is taken into consideration for weighting the criteria. Thirdly, emerging seven countries are ranked by using spherical fuzzy MultiAtributive Ideal-Real Comparative Analysis (MAIRCA).</p><p><strong>Findings: </strong>The findings demonstrate that the criteria of health policies and research and development are defined as the most significant factor in this regard. China and Turkey are also found to be the most successful emerging countries with respect to the performance of health technology investments.</p><p><strong>Originality/value: </strong>The main contribution of this study is that a novel decision-making model is generated by integrating artificial methodology into the spherical fuzzy sets.</p>","PeriodicalId":47447,"journal":{"name":"Journal of Health Organization and Management","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Health Organization and Management","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1108/JHOM-05-2024-0190","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose: Health technologies are an issue that directly affects the sustainability and quality of health services. Due to budget constraints, it is not financially possible for businesses to apply comprehensive improvement strategies to all these criteria. In this case, it is possible for businesses to implement more priority strategies. Accordingly, the main purpose of this study is to evaluate the important performance indicators of health technology investments.
Design/methodology/approach: Firstly, with the help of the artificial intelligence system, a decision matrix is established. Secondly, spherical fuzzy total order of preference decision-making trial and evaluation laboratory methodology is taken into consideration for weighting the criteria. Thirdly, emerging seven countries are ranked by using spherical fuzzy MultiAtributive Ideal-Real Comparative Analysis (MAIRCA).
Findings: The findings demonstrate that the criteria of health policies and research and development are defined as the most significant factor in this regard. China and Turkey are also found to be the most successful emerging countries with respect to the performance of health technology investments.
Originality/value: The main contribution of this study is that a novel decision-making model is generated by integrating artificial methodology into the spherical fuzzy sets.
期刊介绍:
■International health and international organizations ■Organisational behaviour, governance, management and leadership ■The inter-relationship of health and public sector services ■Theories and practices of management and leadership in health and related organizations ■Emotion in health care organizations ■Management education and training ■Industrial relations and human resource theory and management. As the demands on the health care industry both polarize and intensify, effective management of financial and human resources, the restructuring of organizations and the handling of market forces are increasingly important areas for the industry to address.