Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
01
01
Identification of parameters affecting the success of the hospital information system & presentation of a model for user satisfaction improvement
1
9
EN
Mehrdad
Kargari
Tarbiat Modares University
m_kargari@modares.ac.ir
mohammad
shayan
Tarbiat Modares University
moh.shayan@gmail.com
Complex institutions comprising several divisions and departments such as hospitals need access to information. Hospital information system has many capabilities and in case this system is acceptance by hospital staff, it leads to a revolution in the health care delivery industry. The identification of effective determinants and measures on the success of hospital information systems could significantly lead to the improvement of their performance. In this paper, the effective determinants and measures on the success of hospital information systems have been identified and then the data has been collected with the help of two customized questionnaires and finally analyzed with inferential statistics using SPSS software. According to the questionnaires, the results of the collected data were divided into two groups: results of experts and those of system users. In the experts group, after identifying the measures and determinants from the literature, they were presented to experts and with the use of one sample T test, the influencing measures and determinants on the success of hospital information systems have been identified. These measures were provided to users and then the confirmatory factor analysis was performed to assess the validity of questionnaires and structure of the identified determinants from the users’ opinions. Finally, several linear regression analyses were conducted to examine the hypotheses and proposed a model to improve user satisfaction in hospitals.
Hospital information system,assessment determinants,Delone and Mclean model
https://www.jise.ir/article_14975.html
https://www.jise.ir/article_14975_571d6a59002aea84eaccfab30a491693.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
03
16
An exact Method for Stochastic Maximal Covering Problem of Preventive Healthcare Facilities
10
23
EN
Saeedeh
Javanmardi
Yazd University
javanmardi.2020@gmail.com
Hasan
Hosseininasab
Yazd University
hhn@yazd.ac.ir
Ali
Mostafaeipour
Yazd University
mostafaei@yazd.ac.ir
Effective preventive healthcare services have a significant role in reducing fatality and medical expenses in all human societies and the level of accessibility of customers to these services can be considered as a measure of their efficiency and effectiveness. The main purpose of this paper is to develop a service network design model of preventive healthcare facilities with the principal objective of maximizing participation in the offered services. While considering utility constraints and incorporating demand elasticity of customers due to travel distance and congestion delays, optimal number, locations and capacities of facilities as well as customer assignment o facilities are determined. First, the primary nonlinear integer program is transformed, then the linearized model is solved by developing an exact algorithm. Computational results show that large-sized instances can be solved in a reasonable amount of time. An illustrative case study of network of hospitals in Shiraz, Iran, is used to demonstrate the model and the managerial insights are discussed.
Preventive healthcare,Service System Design,Elastic Demand,Utility,accessibility,Nonlinear Integer Programming
https://www.jise.ir/article_39086.html
https://www.jise.ir/article_39086_c86d6e2e0bcc1e1526bc9f2d4818754c.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
03
18
Location of Heath Care Facilities in Competitive and User Choice Environment
24
54
EN
Mahsa
Pouraliakbari
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
mahsap58@yahoo.com
Mohammad
Mohammadi
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
mohammadi@khu.ac.ir
Abolfazl
Mirzazadeh
Department of Industrial Engineering, Faculty of Engineering, Kharazmi University, Tehran, Iran
a.mirzazadeh@aut.ac.ir
The location of facilities anywhere in an area in which several competing facilities already exist and serving the demand points has been brought to light in this work. Because of the great importance of health care systems in the health of the people, these systems have been studied in the present paper. Creation and maintenance of competitive advantage in health care systems requires optimizing the location decision and understanding customers’ behaviors. Customers’ behavior is considered and explicitly modeled in this work. Each facility attracts customers within a “sphere of influence” defined by a “gravity-like spatial interaction model”. Customers have full control over which system they choose to patronize and they do so by applying the attractive elements with each center. the attractive factors that affect the user choice behavior are: the lower travelling time, the quality of the services or the reputation of centers. We also investigate how various parameters will affect the market shares of ours and competitors’ facilities in the user choice environment. The hospitals have several low level sections to offer low level services (such as primary services) and several high level sections to offer high level services (such as professional services) and the patients will refer to different sections of the hospitals according to their requirements and their health status. Two metaheuristic algorithms including ant colony optimization and tabu search are developed to solve the model and be applied to some numerical examples. TOPSIS method and statistical t- test are performed to evaluate the results of the proposed algorithms.
Discrete network location,Competitive environment,Health Care System,Hierarchical structure,Queuing Theory,Consumer choice behavior
https://www.jise.ir/article_39087.html
https://www.jise.ir/article_39087_4655ff4d432fcbeacfd00b343aa53e44.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
03
22
Integrated planning for blood platelet production: a robust optimization approach
55
80
EN
Sara
Cheraghi
School of Industrial Engineering, Iran University of Science & Technology
sara_cheraghi@ind.iust.ac.ir
Seyyed-Mahdi
Hosseini-Motlagh
School of Industrial Engineering, Iran University of Science & Technology, Tehran, Iran
motlagh@iust.ac.ir
Mohammadreza
Ghatreh Samani
School of Industrial Engineering, Iran University of Science &Technology
mr_samani@ind.iust.ac.ir
Perishability of blood products as well as uncertainty in demand amounts complicate the management of blood supply for blood centers. This paper addresses a mixed-integer linear programming model for blood platelets production planning while integrating the processes of blood collection as well as production/testing, inventory control and distribution. Whole blood-derived production methods for blood platelets (i.e., buffy coat and platelet-rich plasma methods) are particularly focused in our research. The problem is tackled with the aim of minimizing the supply chain total cost. To capture inherent uncertainty of input data, a robust programming approach is devised. A set of numerical experiments is carried out to evaluate the performance of the proposed model and the solution technique. Thereto, we employ two criteria: the mean and standard deviation of constraint violations under a number of random realizations to measure the quality of solutions achieved by both the proposed deterministic and robust models. Finally, several sensitivity analyses are accomplished to provide valuable managerial insights. The results imply the domination of robust approach over the deterministic one.
Blood supply chains,Healthcare,Platelet-Rich Plasma,Buffy Coat,robust optimization
https://www.jise.ir/article_43332.html
https://www.jise.ir/article_43332_1cd4d816a396d059e1900df565cae72e.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
03
22
Presenting a stochastic multi choice goal programming model for reducing wastages and shortages of blood products at hospitals
81
96
EN
mahdi
yousefi nejad attari
0000-0002-5219-042X
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran
mahdi_108108@yahoo.com
Seyed Hamid Reza
pasandide
Department of Industrial Engineering, Faculty of Industrial and Mechanical Engineering, Islamic Azad University, Qazvin Branch, Qazvin, Iran
pasandid@yahoo.com
afsaneh
Agaie
Assistant professor of Immunology Head of Blood Transfusion Research Center High institute for Research and Education in Transfusion Medicine, Tehran, Iran
agaie.a@gmail.com
Seyed Taghi
Akhavan Niaki
sharif university
niaki@sharif.edu
One of the most fundamental components of healthcare system on each country is blood supply chain management. This chain is comprised of two significant components including collecting donor’ bloods and supplying blood’s products. The main purpose of this paper is to concentrate on supplying blood products and present a novel constrained bi-objective mathematical model for a two-echelon blood supply chain network (BSCN) in order to 1) minimize products’ waste and shortage costs in hospitals and 2) to minimize the maximum unsatisfied demand of different products among hospital demands supplied by blood transfusion centers. Some techniques are used to linearise the model’s nonlinear terms and decrease presented model’s complexity. Then, a multi-choice goal programming (MCGP) technique is used to convert bi-objective model into a single objective one. The model is solved on GAMS software under 3 different scenarios and 18 time periods in real-world BSCN. Computational results showed that hospitals are tended in accepting products’ holding and waste costs to satisfy demands of patients who are highly need for receiving blood products.
blood supply chain,packed red blood cells,MCGP,Blood transfusion center
https://www.jise.ir/article_43400.html
https://www.jise.ir/article_43400_f329ba3cb385dc504749e266d168103c.pdf
Iranian Institute of Industrial Engineering
Journal of Industrial and Systems Engineering
1735-8272
2717-3380
10
special issue on healthcare
2017
03
30
Multi-period and multi-resource operating room scheduling and rescheduling using a rolling horizon approach: a case study
97
115
EN
Mohammad Mahdi
Vali Siar
Department of Industrial Engineering, K.N. Toosi University of Technology
mvalisiar@email.kntu.ac.ir
Saiedeh
Gholami
0000-0001-7182-9391
Department of Industrial Engineering, K.N. Toosi University of Technology
s_gholami@kntu.ac.ir
Reza
Ramezanian
Department of Industrial Engineering, K. N. Toosi University of Technology
ramezanian@kntu.ac.ir
In this paper, a multi-period and multi-resource operating room (OR) scheduling and rescheduling problem with elective and semi-elective (semi-urgent) patients is addressed. A scheduling-rescheduling framework based on the so-called rolling horizon approach is proposed to solve the problem. The core of the proposed framework is a novel proposed mixed-integer linear programming (MILP) model with the objectives of minimizing tardiness, idle time and overtime. Pre-operative holding unit beds and recovery beds as important resources in surgery departments are taken into account. At first, a schedule is set for all of the days of the planning period. Then, at each iteration, the scheduled patients are fixed (frozen) for the first day of the planning period and a rescheduling is done due to arrival of the semi-urgent patients. Then the planning period is shifted. This process continues until all days of the planning horizon are covered. Numerical analysis and comparisons are done between the proposed approach and two scenarios which are applied in many hospitals. In the first scenario, the semi-urgent patients would be operated in the first available OR after operating elective patients and in another scenario, a specified amount of capacity is allocated for semi-elective patients. The outcomes conclude that the proposed method has much better performance and also statistical test supports this superiority. Finally, a case study is implemented in a hospital in Iran. Numerical analysis shows that our proposed approach surpasses the actual schedule of hospital significantly.
Operating room scheduling,Healthcare,rolling horizon framework,rescheduling approach,elective and semi-urgent patients,Resource constraints
https://www.jise.ir/article_43408.html
https://www.jise.ir/article_43408_3bc4d2e03e24cc4d0ed63a98a215e25c.pdf