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    A system dynamics approach to the seismic resilience enhancement of hospitals

    , Article International Journal of Disaster Risk Reduction ; Volume 31 , 2018 , Pages 220-233 ; 22124209 (ISSN) Khanmohammadi, S ; Farahmand, H ; Kashani, H ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    In the aftermath of earthquakes, hospitals serve the critical role of treating casualties. In many cases, the key components of a hospital (i.e., the building, staff, medicine inventory, technical systems, and medical equipment) are affected by an earthquake. To handle the demand surge, affected hospitals should recover in an effective manner. Hospital recovery is a complex and dynamic process because each component requires specific types and amount of resources to recover. Furthermore, the recovery of each component not only affects its performance but also plays a role in the overall hospital recovery. Hospital administrators need to model the complex recovery process after a future... 

    Medical malpractice and physician discipline: The good, the bad and the ugly

    , Article Journal of Empirical Legal Studies ; Volume 18, Issue 1 , April , 2021 , Pages 131-166 ; 17401453 (ISSN) Hyman, D. A ; Rahmati, M ; Black, B ; Sharif University of Technology
    Blackwell Publishing Inc  2021
    Abstract
    We study the overlap between the medical malpractice (med mal) and medical disciplinary systems using the records of almost 90,000 Illinois physicians who held an active license at any point from 1990–2016. We quantify the specialty-specific risk of having a paid med mal claim or a disciplinary action; how many physicians have both; and the extent to which physicians with two or more paid claims or two or more disciplinary actions account for a disproportionate share of the activity of both systems. We also examine which factors are associated with paid claims and disciplinary actions, and whether physicians with multiple paid claims or disciplinary actions are concentrated at particular... 

    Hospital Process Management in order to Reduce the Hospitalization Time

    , M.Sc. Thesis Sharif University of Technology Rahbarirad, Shabnam (Author) ; Najafi, Mehdi (Supervisor)
    Abstract
    Health care is one of the basic needs of humankind, and meeting this important need is the responsibility of hospitals. Public hospitals, as the costliest operating units of the health care system, have always faced limited resources. Therefore, efficient use of resources, such as admission beds as undeniable necessities, could be used as an effective approach to meet the growing demand of patients, use health center capacities optimally, and reduce costs. To this end, in this research, a hospital process management approach is used to improve the utilization of hospital admission beds as a valuable resource, and reduce the false bed occupancy rate in Shohada-e-Tajrish University Hospital... 

    Emergence of Hopf bifurcation in an extended SIR dynamic

    , Article PLoS ONE ; Volume 17, Issue 10 October , 2022 ; 19326203 (ISSN) Roostaei, A ; Barzegar, H ; Ghanbarnejad, F ; Sharif University of Technology
    Public Library of Science  2022
    Abstract
    In this paper, the original SIR model is improved by considering a new compartment, representing the hospitalization of critical cases. A system of differential equations with four blocks is developed to analyze the treatment of severe cases in an Intensive Care Unit (ICU). The outgoing rate of the infected individuals who survive is divided into nI and bI/1+b where the second term represents the transition rate of critical cases that are hospitalized in ICU. The findings demonstrate the existence of forward, backward and Hopf bifurcations in various ranges of parameters. © 2022 Roostaei et al. This is an open access article distributed under the terms of the Creative Commons Attribution... 

    Diagnosis of brucellosis disease using data mining: A case study on patients of a hospital in Tehran

    , Article Journal of Microbiological Methods ; Volume 199 , 2022 ; 01677012 (ISSN) Sebt, M. V ; Jafari, S ; Khavaninzadeh, M ; Shavandi, A ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    Background: Brucellosis is a common zoonotic infection of humans from livestock. This bacterial infection is acquired from infected animals and their products. The pathogen of this disease is a genus of bacilli called Brucella, and no effective vaccine has been discovered yet for the prevention of human brucellosis. Objectives: The present study is mainly conducted to diagnose brucellosis accurately and timely, using Data Mining techniques. Based on the knowledge discovered with Data Mining and opinions of specialist physicians, this study aims to propose instructions for diagnosing brucellosis. Materials and methods: The dataset used in this study contains 340 samples and is extracted from... 

    A multicriteria-optimization model for cultural heritage renovation projects and public-private partnerships in the hospitality industry

    , Article Current Issues in Tourism ; Volume 25, Issue 22 , 2022 , Pages 3709-3734 ; 13683500 (ISSN) Tavana, M ; Azadmanesh, A ; Nasr, A. K ; Mina, H ; Sharif University of Technology
    Routledge  2022
    Abstract
    The tourism and hospitality industry significantly impacts socio-economic development and cultural growth in developing countries. This study develops an integrated multicriteria decision-making and optimization model for partner selection in public-private partnership (PPP) projects in the hospitality industry. The proposed model uses a weighted influence non-linear gauge system to evaluate the partners. A multi-objective optimization model is then utilized to select a partner for each PPP project using a linear programming metric solution approach. A case study demonstrates the applicability of the proposed model in a PPP project in Iran to renovate and convert historic houses into hotels... 

    An integrated HFMEA-DES model for performance improvement of general hospitals: A case study

    , Article International Journal of Quality and Reliability Management ; 2020 Ershadi, M. M ; Ershadi, M. J ; Akhavan Niaki, S. T ; Sharif University of Technology
    Emerald Group Publishing Ltd  2020
    Abstract
    Purpose: Healthcare failure mode and effect analysis (HFMEA) identifies potential risks and defines preventive actions to reduce the effects of risks. In addition, a discrete event simulation (DES) could evaluate the effects of every improvement scenario. Consequently, a proposed integrated HFMEA-DES model is presented for quality improvement in a general hospital. Design/methodology/approach: In the proposed model, HFMEA is implemented first. As any risk in the hospital is important and that there are many departments and different related risks, all defined risk factors are evaluated using the risk priority number (RPN) for which related corrective actions are defined based on experts'... 

    An integrated HFMEA-DES model for performance improvement of general hospitals: A case study

    , Article International Journal of Quality and Reliability Management ; Volume 38, Issue 1 , 2021 , Pages 1-24 ; 0265671X (ISSN) Ershadi, M. M ; Ershadi, M. J ; Akhavan Niaki, S. T ; Sharif University of Technology
    Emerald Group Holdings Ltd  2021
    Abstract
    Purpose: Healthcare failure mode and effect analysis (HFMEA) identifies potential risks and defines preventive actions to reduce the effects of risks. In addition, a discrete event simulation (DES) could evaluate the effects of every improvement scenario. Consequently, a proposed integrated HFMEA-DES model is presented for quality improvement in a general hospital. Design/methodology/approach: In the proposed model, HFMEA is implemented first. As any risk in the hospital is important and that there are many departments and different related risks, all defined risk factors are evaluated using the risk priority number (RPN) for which related corrective actions are defined based on experts'... 

    SCGG: A deep structure-conditioned graph generative model

    , Article PLoS ONE ; Volume 17, Issue 11 November , 2022 ; 19326203 (ISSN) Faez, F ; Hashemi Dijujin, N ; Soleymani-Baghshah, M ; Rabiee, H. R ; Sharif University of Technology
    Public Library of Science  2022
    Abstract
    Deep learning-based graph generation approaches have remarkable capacities for graph data modeling, allowing them to solve a wide range of real-world problems. Making these methods able to consider different conditions during the generation procedure even increases their effectiveness by empowering them to generate new graph samples that meet the desired criteria. This paper presents a conditional deep graph generation method called SCGG that considers a particular type of structural conditions. Specifically, our proposed SCGG model takes an initial subgraph and autoregressively generates new nodes and their corresponding edges on top of the given conditioning substructure. The architecture... 

    Integration Operation Management for Outpatient Clinics Case Study: Milad Hospital

    , M.Sc. Thesis Sharif University of Technology Moradi, Shahryar (Author) ; Eshghi, Kourosh (Supervisor) ; Delavari, Vahid (Supervisor)
    Abstract
    Outpatient clinics always encounter a huge deal of demand and due to the variety of the services they provide and the existence of uncertainties, operation management is such a difficult task. This issue has made problems related to this issue popular among scientists and researchers. In this research, we are going to address several popular problems related to outpatient appointment scheduling. Initially, an M/M/c/K queuing system is developed in order to obtain the optimum scheduling window for different sub clinics. Secondly, the real demand for each sub clinics will be estimated using data analysis techniques for each 24-hour period. Having the results of the previous section, we build a... 

    A Hybrid BIM and BN-based Model to Improve the Resiliency of Hospitals' Utility Systems in Disasters

    , M.Sc. Thesis Sharif University of Technology Tohidi Far, Ali (Author) ; Alvanchi, Amin (Supervisor)
    Abstract
    The growing number of disasters in recent years has become a significant threat to hospital buildings' resilience and preparedness. Besides, the stochastic nature of these disasters and the complexity of the hospital building systems exacerbate the difficulty of making appropriate decisions during and after disasters. To address the issue, this research proposes a novel model that utilizes the capabilities of Bayesian Networks (BNs) and Building Information Modeling (BIM). This model helps decision-makers in hospitals and medical centers measure various effects of disasters on utility systems and analyze the consequences of their decisions. The capabilities of the proposed model are tested... 

    Conceptual design of a social robot for pediatric hospitals

    , Article 4th RSI International Conference on Robotics and Mechatronics, ICRoM 2016, 26 October 2016 through 28 October 2016 ; 2017 , Pages 566-571 ; 9781509032228 (ISBN) Meghdari, A ; Alemi, M ; Khamooshi, M ; Amoozandeh, A ; Shariati, A ; Mozafari, B ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    No-one likes being confined to a hospital bed. Children particularly can feel lonely, bored or frightened in these conditions. Hours feel like days, and they may not be able to fully comprehend why they are there. Among kids hospitalized because of distinct diseases, children with cancer have incomparable status and needs. They experience physical and mental problems caused by cancer and medications. Cancer treatment may cause distress which can lessen the effectiveness of the treatment. Utilizing social robots to interact with children in clinical environments has been verified to both diminish their distress level and enhance the effectiveness of the treatment process. To improve the... 

    A new hybrid risk-averse best-worst method and portfolio optimization to select temporary hospital locations for Covid-19 patients

    , Article Journal of the Operational Research Society ; October , 2021 ; 01605682 (ISSN) Kheybari, S ; Ishizaka, A ; Salamirad, A ; Sharif University of Technology
    Taylor and Francis Ltd  2021
    Abstract
    Choosing the right place to set up temporary hospitals is one of the most important and urgent measures for pandemic response. To solve this problem, we propose a new hybrid approach based on two steps. Firstly, since human health is highly sensitive to the impact of decisions about temporary hospital locations and a mistake may pose severe threat to human lives, we propose a new risk-averse multi-criteria decision-making (MCDM) approach. To choose the alternatives with the fewest possible weaknesses, a comprehensive hierarchal structure of relevant criteria categorized into environmental, social, economic, and infrastructural, along with a new risk-averse best-worst method (BWM), are... 

    Impact of temporal correlations on high risk outbreaks of independent and cooperative SIR dynamics

    , Article PLoS ONE ; Volume 16, Issue 7 July , 2021 ; 19326203 (ISSN) Sajjadi, S ; Ejtehadi, M. R ; Ghanbarnejad, F ; Sharif University of Technology
    Public Library of Science  2021
    Abstract
    We first propose a quantitative approach to detect high risk outbreaks of independent and coinfective SIR dynamics on three empirical networks: A school, a conference and a hospital contact network. This measurement is based on the k-means clustering method and identifies proper samples for calculating the mean outbreak size and the outbreak probability. Then we systematically study the impact of different temporal correlations on high risk outbreaks over the original and differently shuffled counterparts of each network. We observe that, on the one hand, in the coinfection process, randomization of the sequence of the events increases the mean outbreak size of high-risk cases. On the other... 

    Mixed integer linear programming problem for personnel multi-day shift scheduling: A case study in an Iran hospital

    , Article Alexandria Engineering Journal ; Volume 61, Issue 1 , 2022 , Pages 419-426 ; 11100168 (ISSN) Nobil, A. H ; Sharifnia, S. M. E ; Cárdenas Barrón, L. E ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    The application of mathematical and systematic models and approaches to health is on the rise. In this study, a mixed-integer linear programming problem with cost (staff payroll) objective function is proposed to determine homogeneous personnel shift scheduling so that the constraints of the number of personnel per shift are met. The purpose of this study is to optimize the scheduling of personnel with the same skills to minimize variable hospital costs. In a hospital, homogeneous personnel might be skilled nurses who can work in the same departments or service staff of the departments. First, a mathematical model is proposed for scheduling as a linear problem and solved using Lingo... 

    A Framework to Assess Effect of Interdependent Infrastructures' Disruption on Operation of Hospital during Natural Disasters

    , M.Sc. Thesis Sharif University of Technology Farahmand, Hamed (Author) ; Haj Kazem Kashani, Hamed (Supervisor)
    Abstract
    In earthquake-prone communities, the post-earthquake functionality of hospitals is crucial. Hospitals can dramatically reduce earthquake casualties if they can remain functional and retain service continuity. A variety of earthquake-induced problems such as damage to hospital components, unavailability of medical staff, disruption in medicine supply, and failure of supporting infrastructure systems can negatively affect the functionality of a hospital. Hospital administrators and facility managers require appropriate tools to assess the effect of these problems on hospital functionality. This research presents a probabilistic framework to assess the functionality of hospitals following... 

    Insights into TripAdvisor's online reviews: The case of Tehran's hotels

    , Article Tourism Management Perspectives ; Volume 34 , April , 2020 Khorsand, R ; Rafiee, M ; Kayvanfar, V ; Sharif University of Technology
    Elsevier B. V  2020
    Abstract
    User-generated data in TripAdvisor.com consists of considerable amount of useful information that can help managers to provide better services to their customers. This study aims to forecast a new user's rate to a hotel based on information of the hotel and user. To do so, all reviews on all hotels of Tehran on TripAdvisor.com as real data are selected and 8 different supervised machine learning models are applied to the data to select the best method including K-nearest neighbors (KNN), Naïve Bayes, decision tree, logistic regression, support vector machine, neural network, random forest, and gradient boosting. KNN algorithm which uses similarity and distance measures for classification is... 

    An optimum design and simulation of an innovative mobile robotic nurse unit to assist paraplegic patients

    , Article Proceedings of the IEEE International Conference on Mechatronics 2004, ICM'04, Istanbul, 3 June 2004 through 5 June 2004 ; 2004 , Pages 141-147 ; 0780385993 (ISBN) Meghdari, A ; Hosseinkhannazer, H ; Selkghafari, A ; Sharif University of Technology
    2004
    Abstract
    This paper describes a nursing robot system currently under development at the Center of Excellence in Design, Robotics and Automation. Our goal was to design and fabricate of a robot specifically for paraplegic patients and the design procedure led to a plan which can be employed in any hospital environment. Through the design procedure, the team members conducted a survey on the robot client's needs and disabilities which provided a unique view on mechanical design features, in addition to, performing dynamical analysis on the designed mechanisms. Dynamical Simulation of mechanisms helped us to find the best design and solutions as well as optimization of parts has resulted in a matchless... 

    Systematic Planned (Preventive) Maintenance in Hospitals And Medical Centers of Iran

    , M.Sc. Thesis Sharif University of Technology Faghihi, Farshid (Author) ; Haji, Rasoul (Supervisor)
    Abstract
    Based on the latest statistical figures, more than 50 billion Rials worth of medical equipment exists in Iran’s medical centers. In spite of this, Breakdown maintenance is used in all hospitals, which means that the equipment is utilized as long as it is not out of order and only in such a situation, i.e. a breakdown, the necessary repair operation is conducted on the equipment. In fact, no maintenance is carried out to prevent a breakdown, while the “prevention from breakdown” concept has long been introduced in the majority of industries in many countries including Iran and its positive impacts are undisputable. This thesis aims at proposing a solution for the implementation of a “planned... 

    , M.Sc. Thesis Sharif University of Technology Mirhossini, Mohammad Mehdi (Author) ; Eissaei, Mohammad Taghi (Supervisor)
    Abstract
    In addition to investigating the overall situation of healthcare information systems (HIS) in Iranian hospitals, in this thesis the goal is to determine the key elements of success and failure in the implementation of HIS. With the advent of the computer systems in Iran and due to the successful and unsuccessful experiences of organizations, the necessity of detecting the influential elements in this field is perceived even more than before. Another importance of this research is because of the essential role of the cultural and social factors in the success of these systems; this claim can be justified by observing different results founded by researchers from different countries. In this...