Journal of Structural and Construction Engineering

Journal of Structural and Construction Engineering

Identifying factors affecting the successful implementation of information systems and building management in evaluating the performance of hospitals in crisis conditions

Document Type : Original Article

Authors
1 Assistant Professor, Department of Civil Engineering, Khomein Branch, Islamic Azad University, Khomein, Iran
2 M.Sc., Department of Civil Engineering, Khomein Branch, Islamic Azad University, Khomein, Iran
Abstract
To improve the performance of crisis management in hospitals, increasing the resilience of buildings is very important. In this context, two key tools including building information and building management system can play a vital role in hospital crisis management. The main problem is to identify the effective factors in the effective implementation of these two systems as an integrated model. Considering the existing commonalities, it is necessary to identify these factors correctly in the system implementation process. This research has been done with the aim of developing such a model in two qualitative and quantitative parts. In the qualitative part, 27 effective factors were extracted from previous studies with the content analysis approach. In the quantitative part, exploratory factor analysis using SPSS22 software was used to compile the conceptual model (classification of factors in the form of indices and sub-indices) and confirmatory factor analysis was used to validate the conceptual model with Lisrel software. Questionnaires related to both methods were completed by 146 qualified experts who were selected from among 236 statistical population using Cochran's sampling formula. The reliability of the questionnaires was also measured by Cronbach's alpha coefficient. The results of the research show that the effective factors include the logistic management index of critical hospital departments (correlation coefficient 0.86), the performance index of the hospital information system (correlation coefficient 0.72), the infrastructure index of the hospital management system (correlation coefficient 0.67), the systems index hospital monitoring and control (correlation coefficient 0.64), and building management system index in the event of a crisis (correlation coefficient 0.61). These results show the importance of various factors in improving the performance of crisis management in hospitals.
Keywords

Subjects


[1] Coombs, W. T. (2019). Ongoing crisis communication: Planning, managing, and responding. Sage Publications.
[2] Olanrewaju, O. I., Kineber, A. F., Chileshe, N., & Edwards, D. J. (2022). Modelling the relationship between Building Information Modelling (BIM) implementation barriers, usage and awareness on building project lifecycle. Building and Environment, 207, 108556.
[3] Valizadeh, S., & Parvari, A. (2021). Providing a crisis management model to design a disaster relief building based on BIM and AHP method. Journal of Structural and Construction Engineering, 8(3), 234-250.
[4] Sotoudeh Bidakhti, Amir Hossein and Bahrami, Hossein.(2014). using building information modeling, lean construction and integrated project delivery for the success of the project, the second national conference of structural engineering of Iran, Tehran.
[5] Bayat, Hadi and Delavar, Mahmoudreza and Hanachi, Pirouz.(2018). Analytical review of integration of GIS spatial information system and BIM building information modeling, 6th national conference of applied researches in civil engineering, architecture and urban management and 5th specialized exhibition of mass builders of housing and construction in Tehran province. Tehran
[6] Shesh Bloki Alamdari, Ali and Ebadi, Mehdi.(2017). Analytical study of the effects of combining Lean Construction (LC) with Integrated Project Delivery (IPD) and Building Information Modeling (BIM), International Conference on Civil Engineering, Architecture and Urban Development Management in Iran. Tehran
[7] Khaleghi, Seyyed Jalal and Donyadideh, Ali and Charani, Samira and Jabari, Hengameh.(2015). the status of building information modeling (BIM) and general building preparation (TBC) and its application for sustainable design in Iran: advantages and proposed solutions, the fourth congress between International Civil, Architecture and Urban Development, Tehran
[8] Taghizadeh, Katayoun and Badaghi, Mostafa and Mahami Venen, Hadi.(2014). investigating the dual application of BIM building information modeling and GIS spatial information system in the performance of the construction industry, International Conference on Management, Economics and Human Sciences.
[9]  Flores-Larsen, S., Filippín, C., & Bre, F. (2023). New metrics for thermal resilience of passive buildings during heat events. Building and Environment, 109990.
[10]  Felicioni, L., Lupíšek, A., & Gaspari, J. (2023). Exploring the Common Ground of Sustainability and Resilience in the Building Sector: A Systematic Literature Review and Analysis of Building Rating Systems. Sustainability, 15(1), 884.
[11]  Ji, L., Shu, C., Laouadi, A., Lacasse, M., & Wang, L. L. (2023). Quantifying improvement of building and zone level thermal resilience by cooling retrofits against summertime heat events. Building and Environment, 229, 109914.
[12]  Alyami, S. H., Abd El Aal, A. K., Alqahtany, A., Aldossary, N. A., Jamil, R., Almohassen, A., ... & Alsalem, A. H. (2023). Developing a Holistic Resilience Framework for Critical Infrastructure Networks of Buildings and Communities in Saudi Arabia. Buildings, 13(1), 179.
[13]  Durdyev, S., Ashour, M., Connelly, S., & Mahdiyar, A. (2022). Barriers to the implementation of Building Information Modelling (BIM) for facility management. Journal of Building Engineering, 46, 103736.
[14]  Xu, X., Mumford, T., & Zou, P. X. (2021). Life-cycle building information modelling (BIM) engaged framework for improving building energy performance. Energy and Buildings, 231, 110496.
[15]  Watfa, M. K., Hawash, A. E., & Jaafar, K. (2021). Using Building Information & Energy Modelling for Energy Efficient Designs. Journal of Information Technology in Construction (ITcon), 26(23), 427-440.
[16]  Honcharenko, T., Tsiutsiura, S., Kyivska, K., Balina, O., & Bezklubenko, I. (2021). Transform Approach for Formation of Construction Project Management Teams Based on Building Information Modeling. In ITPM (pp. 11-21).
[17] Suofian, F. M., Abdullah, M. S., & Mohamed, J. (2021). Development of Building Maintenance E-Report System Using Building Information Modeling. Progress in Engineering Application and Technology, 2(1), 183-195.
[18]  Matos, R., Rodrigues, F., Rodrigues, H., & Costa, A. (2021). Building condition assessment supported by Building Information Modelling. Journal of Building Engineering, 38, 102186.
[19]  Noran, O., Bernus, P., & Caluianu, S. (2020). Situation-aware Building Information Models for Next Generation Building Management Systems. In ICEIS (1) (pp. 75-82).
[20]  Zhang, Y. Y., Kang, K., Lin, J. R., Zhang, J. P., & Zhang, Y. (2020). Building information modeling–based cyber-physical platform for building performance monitoring. International Journal of Distributed Sensor Networks, 16(2), 1550147720908170.
[21]  Liao, L., Lin, E. T. A., & Low, S. P. (2019). Assessing building information modeling implementation readiness in building projects in Singapore: A fuzzy synthetic evaluation approach. Engineering, construction and architectural management.
[22]  Ramaji, I. J., & Memari, A. M. (2018). Interpretation of structural analytical models from the coordination view in building information models. Automation in Construction, 90, 117-133.
[23]  Song, Y., Wang, X., Tan, Y., Wu, P., Sutrisna, M., Cheng, J., & Hampson, K. (2017). Trends and opportunities of BIM-GIS integration in the architecture, engineering and construction industry: a review from a spatio-temporal statistical perspective. ISPRS International Journal of Geo-Information, 6(12), 397.
[24] Amirebrahimi, S., Rajabifard, A., Mendis, P., & Ngo, T. (2016). A framework for a microscale flood damage assessment and visualization for a building using BIM–GIS integration. International Journal of Digital Earth, 9(4), 363-386.
[25]  Kang, T. W., & Hong, C. H. (2015). A study on software architecture for effective BIM/GIS-based facility management data integration. Automation in construction, 54, 25-38.
[26]  Zhang, J., Seet, B. C., & Lie, T. T. (2015). Building information modelling for smart built environments. Buildings, 5(1), 100-115.

  • Receive Date 10 August 2024
  • Revise Date 27 October 2024
  • Accept Date 28 November 2024