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Determining and Ranking the Lean Criteria for Hospital Using Fuzzy Interpretive Structural Modeling (FISM)
Hamzeh Amin-Tahmasbi, Maede Ghasemi,
Volume 14, Issue 4 (10-2020)
Abstract
Background and Aim: The growing healthcare expenses, technological advancements and increasing competition in healthcare services, brings up new challenges for healthcare industry in providing appropriate services to customers. The Lean methodology, which is a managerial approach, provides tools necessary to eliminate waste and increase customer satisfaction through increasing quality of the services and decreasing the wait times and costs. The Scope of this paper is to determine and rank the lean criteria for hospitals.
Materials and Methods: 22 base criteria for a lean organization was selected and reconciled to hospitals from literature review. Then they were evaluated by experts in the field using Likert scale, leading to 18 criteria. The correlation of these criteria was found using ISM methodology, followed by ranking of these criteria. Lastly, the criteria were categorized utilizing MICMAC analysis.
Results: utilizing MICMAC analysis, the "defining the flow of processes & continuous improvement", "utilizing visual surveillance to understand the situation & exploit the problems" were identified as the most important variables.
Conclusion: In order to increase quality of services and customer satisfaction and to reduce operating costs, hospitals are advised to utilize lean methodology. In which case the management should pay more attention to the two more important criteria derived by MICMAC analysis, "Defining the processes in order to find problems" and "Continuous improvement and utilizing visual surveillance in order to find problems".

Measuring the Interactions of ‎University, Industry and Government of Iran in Scientific Articles of Biomedical Engineering Field ‎Using the Triple Helix Model
Somaye Dehghanisanij, Ismaeil Mostafavi, Hamidreza Zarghami, Hojat Soleimani,
Volume 14, Issue 5 (1-2021)
Abstract
Background and Aim: The field of medical engineering is the flagship interdisciplinary approach in Iran, which, due to its attention to knowledge-based economy, takes a step towards prosperity and smoothing progress and development. The purpose of this study is to investigate the interactions between university, industry and government of Iran in scientific articles in the field of medical engineering using the triple helix model. 
Materials and Methods: This is an applied research with a quantitative approach and uses scientometric techniques. The status of dynamic interactions of the main pillars of Iranian innovation in the field of medical engineering in WoS (Web of Science) database has been calculated using the .exe and the 4.exe softwares in the period of 2010-2019, and the transmission degree of uncertainty index in dual and national dimensions has been determined.
Results: The T-index ranking was assigned to university-government(23.38 mb), university-industry(8.47 mb) and industry-government (1.13 mb), respectively, and finally, national interaction(-12.48 mb) was obtained. The interaction between university and industry had an increasing trend and the strongest dual interaction belonged to the university-government. Over the last ten years, national interaction has always had a negative value, which indicates the existence of dynamics in interactions in the national dimension.
Conclusion: The dual university-industry interaction has been increasing in recent years; however, in the long run, the national interaction of the pillars has been facing a declining trend, according to which some science and technology policies, and research and industrial strategies have been proposed as a necessity to promote the university-industry-government innovation network in the field of medical engineering in Iran.

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