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

Matsatsinis Nikolaos, Panagiotis Manolitzas, Grigoroudis, Evangelos, Athanasios Spyridakos, Denis Yannacopoulos

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URIhttp://purl.tuc.gr/dl/dias/739F62F8-9459-47E0-8A26-679D1BD58E54-
Γλώσσαen-
ΤίτλοςPRAKSAGORAS: A group decision support system for the improvement of the health care servicesen
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΔημιουργόςPanagiotis Manolitzasen
ΔημιουργόςGrigoroudis, Evangelosen
Δημιουργός Athanasios Spyridakosen
ΔημιουργόςDenis Yannacopoulosen
ΠερίληψηOne 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.en
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-05-
Ημερομηνία Δημοσίευσης2015-
Θεματική ΚατηγορίαDelivery of health careen
Θεματική ΚατηγορίαDelivery of medical careen
Θεματική ΚατηγορίαHealth careen
Θεματική ΚατηγορίαHealth care deliveryen
Θεματική ΚατηγορίαHealth servicesen
Θεματική ΚατηγορίαHealthcareen
Θεματική ΚατηγορίαMedical and health care industryen
Θεματική ΚατηγορίαMedical servicesen
Θεματική ΚατηγορίαPersonal health servicesen
Θεματική Κατηγορίαmedical careen
Θεματική Κατηγορίαdelivery of health careen
Θεματική Κατηγορίαdelivery of medical careen
Θεματική Κατηγορίαhealth careen
Θεματική Κατηγορίαhealth care deliveryen
Θεματική Κατηγορίαhealth servicesen
Θεματική Κατηγορίαhealthcareen
Θεματική Κατηγορίαmedical and health care industryen
Θεματική Κατηγορίαmedical servicesen
Θεματική Κατηγορίαpersonal health servicesen
Βιβλιογραφική ΑναφοράP. Manolitzas, A. Spyridakos, E. Grigoroudis, D. Yannacopoulos, N. Matsatsinis ,"PRAKSAGORAS: A group decision support system for the improvement of the health care services,"in 26th National Conference on Operational Research,2015.en

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