پیوندهای مفید
اخبار و اعلانات
آمار
| تعداد نشریات | 161 |
| تعداد شمارهها | 6,532 |
| تعداد مقالات | 70,501 |
| تعداد مشاهده مقاله | 124,112,011 |
| تعداد دریافت فایل اصل مقاله | 97,215,785 |
A Prototyping and Evaluation of Hospital Dashboard through End-User Computing Satisfaction Model (EUCS) | ||
| Journal of Information Technology Management | ||
| مقاله 3، دوره 10، شماره 3، 2018، صفحه 43-60 اصل مقاله (723.93 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/jitm.2019.282572.2362 | ||
| نویسندگان | ||
| Saeed Rouhani* 1؛ Shooka Zamenian2؛ Sayna Rotbie2 | ||
| 1Assistant Prof., Department of Information Technology Management, Faculty of Management, University of Tehran, Tehran, Iran. | ||
| 2MSc. Student, Department of IT Engineering, Mehralborz University, Tehran, Iran. | ||
| چکیده | ||
| In today's competitive environment, one of the new tools in the field ofinformation technology is business or organizational dashboards that are as abackup in the process of strategic management of organizations. The aim ofthis study is building a prototype of a hospital dashboard on the principles andguidelines of dashboards and evaluating it based on End UserComputing Satisfaction (EUCS). The prototype of a simple dashboard was prepared for evaluation, using experimental research through a questionnaire according to the end-user computing satisfaction model. The test results to compare the average of research variables consisted of satisfaction of the dashboard format, being up to date, ease of use, accuracy and content with average status showed a significant difference between the average of all variables and their average value. Results concluded that among the variables, the format which has had the highest satisfaction rate and accuracy has had the lowest levels of satisfaction among users. Also, the level of users’ satisfaction of all factors of the dashboard is equal. | ||
| کلیدواژهها | ||
| Hospital dashboard؛ Prototyping؛ End-user computing؛ Satisfaction model | ||
| مراجع | ||
|
Aggelidis, V. P., & Chatzoglou, P. D. (2012). Hospital information systems: Measuring end user computing satisfaction (EUCS). Journal of biomedical informatics, 45(3), 566-579.
Auliya, R. S., Aknuranda, I., & Tolle, H. (2018). A Systematic Literature Review on Healthcare Dashboards Development: Trends, Issues, Methods, and Frameworks. Advanced Science Letters, 24(11), 8632-8639.
Cahyadi, A., & Prananto, A. (2015). Reflecting design thinking: A case study of the process of designing dashboards. Journal of Systems and Information Technology, 17(3), 286-306. doi: 10.1108/jsit-03-2015-0018.
Chen, C.-J., Lin, J.D., & Liu, C.F. (2014). Enhancing hospital competitiveness: use of the electronic dashboard for managing the power of executing information systems. BMC Health Services Research, 14(2), 1.
Chung, Y., Bagheri, N., Salinas-Perez, J. A., Smurthwaite, K., Walsh, E., Furst, M., . . . Salvador-Carulla, L. (2020). Role of visual analytics in supporting mental healthcare systems research and policy: A systematic scoping review. International Journal of Information Management, 50, 17-27.
Chung, Y., Salvador-Carulla, L., Salinas-Pérez, J. A., Uriarte-Uriarte, J. J., Iruin-Sanz, A., & García-Alonso, C. R. (2018). Use of the self-organising map network (SOMNet) as a decision support system for regional mental health planning. Health research policy and systems, 16(1), 35.
Doll, W. J., & Torkzadeh, G. (1988). The measurement of end-user computing satisfaction. MIS quarterly, 259-274.
Dowding, D., Merrill, J. A., Barrón, Y., Onorato, N., Jonas, K., & Russell, D. (2019). Usability Evaluation of a Dashboard for Home Care Nurses. CIN: Computers, Informatics, Nursing, 37(1), 11-19.
Elias, M., & Bezerianos, A. (2011). Exploration views: understanding dashboard creation and customization for visualization novices. Paper presented at the IFIP Conference on Human-Computer Interaction.
Erdem, S., Kizilelma, T. T., & Vural, C. A. (2016). Supporting Healthcare Executive Managers’ Decisions Through Dashboards. Journal of Information & Knowledge Management, 15(01), 1650005.
Ghazanfari, M., Rouhani, S., Jafari, M., & Taghavifard, M. T. (2009). ERP requirements for supporting management decisions and business intelligence. IUP Journal of Information Technology, 5(3).
Ghazi Saeedi, M., Khara, R., & Hosseiniravandi, M. (2015). Necessitates of using dashboards in Health Information Management. Health Inf Manage, 12(2), 245-252.
Gholamzadeh Nikjoo, R., Jabbari Beyrami, H., Jannati, A., & Asghari Jaafarabadi, M. (2013). Selecting hospital's key performance indicators, using analytic hierarchy process technique. Journal of Community Health Research, 2(1), 30-38.
Govindarajan, R. (2019). Moving on from CUSP to CUP: empowering multidisciplinary teams and integrating them in the management structure of hospital organization. Journal of multidisciplinary healthcare, 12, 257.
Grigoroudis, E., Orfanoudaki, E., & Zopounidis, C. (2012). Strategic performance measurement in a healthcare organisation: A multiple criteria approach based on balanced scorecard. Omega, 40(1), 104-119.
Gröger, C., Hillmann, M., Hahn, F., Mitschang, B., & Westkämper, E. (2013). The Operational Process Dashboard for Manufacturing. Procedia CIRP, 7, 205-210.
Hansoti, B. (2010). Business Intelligence Dashboard in Decision Making. Available at: https://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=1015&context=techdirproj.
Ismagilova, E., Hughes, L., Dwivedi, Y. K., & Raman, K. R. (2019). Smart cities: Advances in research—An information systems perspective. International Journal of Information Management, 47, 88-100.
Karami, M. (2014). A Design Protocol to Develop Radiology Dashboards. Acta Informatica Medica, 22(5), 341.
Karami, M., & Safdari, R. (2016). Review on Dashboard: A Tool for Value Innovation from Intellectual Capitals in Hospital. Journal of Payavard Salamat, 10(4), 320-330.
Khan, M., & Khan, S. S. (2011). Data and information visualization methods, and interactive mechanisms: A survey. International Journal of Computer Applications, 34(1), 1-14.
Kintz, M. (2012). A semantic dashboard description language for a process-oriented dashboard design methodology. Proceedings of MODIQUITOUS 2012.
Kobana, J. V. A., & Vijay, J. (2003). Business Intelligence in Action. CMA Management, 77(1).
Kuo, C.-H., Tsai, M.-H., & Kang, S.-C. (2011). A framework of information visualization for multi-system construction. Automation in Construction, 20(3), 247-262.
Lechner, B., & Fruhling, A. (2014). Towards Public Health Dashboard Design Guidelines. Paper presented at the International Conference on HCI in Business.
Matheus, R., Janssen, M., & Maheshwari, D. (2018). Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities. Government Information Quarterly.
Mattingly, W. A., Kelley, R. R., Wiemken, T. L., Chariker, J. H., Peyrani, P., Guinn, B. E., . . . Ramirez, J. (2015). Real-time enrollment dashboard for multisite clinical trials. Contemporary clinical trials communications, 1, 17-21.
McInerny, G. J., Chen, M., Freeman, R., Gavaghan, D., Meyer, M., Rowland, F., . . . Hortal, J. (2014). Information visualisation for science and policy: engaging users and avoiding bias. Trends in ecology & evolution, 29(3), 148-157.
Mohd, W. M. B. W., Embong, A., & Zain, J. M. (2010). A Framework of Dashboard System for Higher Education Using Graph-Based Visualization Technique. Paper presented at the International Conference on Networked Digital Technologies.
Nazemi, K., & Burkhardt, D. (2019). Visual analytical dashboards for comparative analytical tasks–a case study on mobility and transportation. Procedia Computer Science, 149, 138-150.
Ola, O., & Sedig, K. (2016). Beyond simple charts: Design of visualizations for big health data. Online journal of public health informatics, 8(3).
Pappas, L., & Whitman, L. (2011). Riding the technology wave: effective dashboard data visualization. Paper presented at the Symposium on Human Interface.
Rouhani, S., Ashrafi, A., Zare Ravasan, A., & Afshari, S. (2016). The impact model of business intelligence on decision support and organizational benefits. Journal of Enterprise Information Management, 29(1), 19-50.
Ruppert, T. (2018). Visual Analytics to Support Evidence-Based Decision Making. Technische Universität.
Si, S.-L., You, X.-Y., Liu, H.-C., & Huang, J. (2017). Identifying key performance indicators for holistic hospital management with a modified DEMATEL approach. International journal of environmental research and public health, 14(8), 934.
Steele, J. R., & Schomer, D. F. (2009). Continuous quality improvement programs provide new opportunities to drive value innovation initiatives in hospital-based radiology practices. Journal of the American College of Radiology, 6(7), 491-499.
Velcu-Laitinen, O., & Yigitbasioglu, O. M. (2012). The use of dashboards in performance management.
Vilarinho, S., Lopes, I., & Sousa, S. (2018). Developing dashboards for SMEs to improve performance of productive equipment and processes. Journal of Industrial Information Integration, 12, 13-22.
Yigitbasioglu, O. M., & Velcu, O. (2012). A review of dashboards in performance management: Implications for design and research. International Journal of Accounting Information Systems, 13(1), 41-59. doi: 10.1016/j.accinf.2011.08.002
Zarandi, M. F., Tarimoradi, M., Alavidoost, M., & Shirazi, M. (2015). Fuzzy Comparison dashboard for multi-objective evolutionary applications: An implementation in supply chain planning. Paper presented at the Fuzzy information processing society (NAFIPS) held jointly with 2015 5th world conference on Soft computing (WConSC), 2015 annual conference of the North American. | ||
|
آمار تعداد مشاهده مقاله: 1,601 تعداد دریافت فایل اصل مقاله: 1,298 |
||