Effective methods for modern healthcare service quality and evaluation Advances in medical diagnosis, treatment, and care (AMDTC) book series./ Panagiotis Manolitzas, Evangelos Grigoroudis, Nikolaos Matsatsinis, Denis Yannacopoulos, [editors].

"Premier reference source."Includes bibliographical references and index."This book is a reference source for the latest research on emerging tools and methodologies for the design of healthcare models, providing expert analyses on trouble-shooting specific problems in the industry and creating optimal hospital environments"--Health services quality and patient satisfaction: a review of the literature / Sofia Xesfingi, Athanassios Vozikis -- High-performance work practices in healthcare sector / Panagiotis Gkorezis, Mamas Theodorou -- Organizational integration of decision analytic methods in healthcare settings / Christopher L. Pate, Mark D. Swofford -- Modelling spatial medical data / S. Zimeras, Y. Matsinos -- Surgery operations modeling and scheduling in healthcare systems / Fatah Chetouane, Eman Ibraheem -- Examining the influence of information technology on modern health care / Edward T. Chen -- Geographic information system applications in public health: advancing health research / Sandul Yasobant, Kranti Suresh Vora, Ashish Upadhyay -- Strategies for expanding access and improving the quality of pharmaceutical services / Marcus Vinícius Dias-Souza -- Hospital units merging reasons for conflicts in the human resources / Athanasia Stamatopoulou, Eleni Stamatopoulou, Denis Yannacopoulos -- Towards European modern societies with health systems that are able to add more years to life, but also to add more life to years / Androutsou Lorena, Androutsou Foulvia.1 online resourc

A review of the UTA multicriteria method and some improvements

Summarization: Regression analysis is often used in multicriteria decision making, as an alternative to multiattribute utility theory, for modeling the preferences of individual or groups of decision makers. The UTA multicriteria procedure, a member of the family of the regression-based approaches, incorporates an ordinal regression method to assess a set of utility functions which best preserve the holistic preference stated by an individual. This paper surveys the UTA method and the variations that have been developed to date and presents a post-optimality analysis technique which, as a second optimization stage in the UTA method, improves the consistency indicators between the utility function and the decision maker’s subjective preferences.Παρουσιάστηκε στο: Foundations of Computing and Decision Science

PRAKSAGORAS: A group decision support system for the improvement of the health care services

Summarization: One of the main characteristics of the health sector is that consumes a large proportion of GDP across the European Union. For this reason in our days the health care policy makers use advanced models in order to evaluate the health care services and more over to redesign them in order to improve their effectiveness. Studying the academic literature it’s obvious that the majority of the models that have been developed for the improvement of the health care services don’t take into account the opinions of the citizens. Another limitation is that the majority of the methodologies take into account only the preference model of one decision maker. Some recent research approaches in order to tackle the aforementioned problem use satisfaction questionnaires in order to enable the citizens in the area of reorganization of the health care services. Praksagoras is a Group Decision Support System that has been developed in order to redesign the health care services and moreover to improve the decision making process by enabling many decision makers like CEO of the hospital, the Physicians and the patients. Praksagoras combines simulations, Multicriteria satisfaction analysis, social choice theory and the aggregation disaggregation approach of Multi-criteria analysis. More specifically, via the simulation model the system depicts the current operation of the emergency departments. The modeler has the ability to test alternatives scenarios for the emergency department in order to test the impacts of these alternatives scenarios on consistent set of criteria such as waiting times, length of stay, working load of the personnel and bed usage. The MUSA model reveals the weak points of the services giving the opportunity to the analyst to develop alternatives that are based on patients’ needs. In order to enable many stakeholders (doctors, patients etc.) in the decision making process we use the RACES approach. Races approach incorporates the social choice functions for aggregating individual rankings with MINORA and MIIDAS systems, in order to assess value function(s), as compatible as possible with a collective ranking. The main aim of this approach is to provide mechanisms for the support of the analysis of the individual and collective preference models and to enrich the knowledge of the decision problem and the structure of DM's preferences.Παρουσιάστηκε στο: 26th National Conference on Operational Researc

Design of a multicriteria DSS for the evaluation of company performance

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