• OpenAccess
    • List of Articles Hadi Zare

      • Open Access Article

        1 - An optimised hybrid method for ambulance dispatch based on complex networks and Artificial Intelligence
        Zainabolhoda Heshmati Mehdi Teimouri mehdi zarkeshzade Hadi Zare
        Nowadays, monitoring people’s health and helping those in need of medical attention is one of the most important responsibilities of governments. Emergency Medical Services (EMS) are therefore setup to provide timely care to victims of sudden and life-threatening injuri More
        Nowadays, monitoring people’s health and helping those in need of medical attention is one of the most important responsibilities of governments. Emergency Medical Services (EMS) are therefore setup to provide timely care to victims of sudden and life-threatening injuries or emergencies in order to prevent needless mortality or long-term morbidity. Providing rapid EMS with minimum response time will help improve survival rates. However, factors such as limited ambulance resources, large coverage area and high call-rates have caused delays in EMS, which have lead to lower survival rates. In this research the problem of ambulance dispatching with regards to lowering the response time is discussed. Response time is the most important factor in evaluating the performance of various EMS, which is directly proportional to mortality and survival rates. The most common method to reduce response time in ambulance dispatching is to choose the nearest available ambulance unit, i.e. the nearest neighbor (NN). Other methods use call-priority, first-in first-out (FIFO), preparedness and hybrid algorithms. One of the latest methods used in ambulance dispatching is based on complex networks. This method will apply a higher priority to the call that is more centrally located with respect to other calls. A hybrid algorithm has been proposed in this research which exceed the previous methods in terms of response time reduction.The proposed hybrid approach is based on complex network analysis and a search algorithm, which relies on the important parameters of dispatch, yet presents fewer constraints and overcomes some of the difficulties of the previous methods. In addition, prioritizing emergency calls is also considered. To evaluate these proposed algorithms, a combination of various parameters and operating environments has been simulated. The results of the simulations show improvements in response time reduction compared to previous methods. Manuscript profile
      • Open Access Article

        2 - Extracting hospital information technology architecture with the approach of implementation capability in Iran
        hossein bobarshad Atefehsadat Haghighathoseini Hadi Zare
        Today, providing smart and fast services to patients and moving towards next generation hospitals is one of the necessities of the health field. Preparing information architecture for hospitals is a prelude to obtaining intelligent services and, as a result, providing s More
        Today, providing smart and fast services to patients and moving towards next generation hospitals is one of the necessities of the health field. Preparing information architecture for hospitals is a prelude to obtaining intelligent services and, as a result, providing services with much higher speed and quality than traditional systems. In this article, the aim was to provide a native information architecture based on important criteria and indicators in Iranian hospitals. In this article, TOGAF information technology architecture is used and then this architecture is localized according to the local conditions of Iran for Shariati Hospital. For this purpose, a 134-question questionnaire was used from the experts' point of view and it was analyzed based on appropriate statistical tests. In this article, information technology architecture was designed in the form of a conceptual model with four inputs and four infrastructure layers. The results showed that among the 134 components of TOGF information technology architecture, 104 components were approved by experts for use in the hospital. This customized framework was called Hospital Information Technology Architecture. The proposed architecture was drawn in eight layers and eleven components and can be used as a local reference architecture for the implementation of information architecture in Iranian hospitals. Manuscript profile
      • Open Access Article

        3 - Providing an optimal method for dispatching an ambulance based on complex networks and artificial intelligence
        مهدی زرکش زاده Zainabolhoda Heshmati Hadi Zare Mehdi Teimouri
        The goal of emergency medical services is to reduce deaths and complications caused by diseases and injuries. Rapid dispatch of emergency services and reduced response time lead to increased survival rates. Response time is one of the important criteria for measuring th More
        The goal of emergency medical services is to reduce deaths and complications caused by diseases and injuries. Rapid dispatch of emergency services and reduced response time lead to increased survival rates. Response time is one of the important criteria for measuring the efficiency of emergency medical services. The usual method of sending ambulances is to send the nearest available unit, which pays attention to efficiency in the short term. One of the methods that has been recently mentioned in the field of ambulance dispatch is based on the analysis of complex networks. The purpose of this method is to send an ambulance to a call that is more central than other calls, which leads to better efficiency in the long run. Other methods in dispatching an ambulance are based on finding the best suitable route for service cars, and the time complexity of these methods is very high. In this article, using a hybrid approach and applying centrality criteria from complex network analysis and search methods based on artificial intelligence, an optimal and innovative method is presented to reduce the response time of emergency services. In addition, in the proposed method, the emergency priority of calls is also considered, which is an important variable in decisions. The proposed method has less limitations than the previous methods and the extensive simulation results confirm the significant improvement of this method compared to the previous methods such as the centrality method and the nearest neighbor method. Manuscript profile