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Business Intelligence Dashboard in Healthcare: Lesson Learned | ||
Health Management & Information Science | ||
مقاله 7، دوره 9، شماره 3، آذر 2022، صفحه 184-191 اصل مقاله (865.44 K) | ||
نوع مقاله: Original Article | ||
شناسه دیجیتال (DOI): 10.30476/jhmi.2022.96483.1151 | ||
نویسندگان | ||
Ali Pakdaman1؛ Mehrdad Karajizadeh* 2؛ Mahdi Nasiri3؛ Roxana Sharifian4 | ||
1School of Management and Medical Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
2Trauma Research Center, Shahid Rajaee (Emtiaz) Trauma Hospital, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
3School of Management & Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran. | ||
4Library and Information Sciences Department, Shiraz University, Shiraz, Iran | ||
چکیده | ||
Introduction: The present study aimed to investigate the impact of business intelligence dashboards on creating healthcare reports. Methods: This is a cross-sectional study conducted in 2018 based on the type of data in occupational medical records of Shiraz Oil Company. First, based on non-structured interviews with occupational health authorities, the weaknesses of the existing health reporting system, the required indicators, and requirements of a business intelligence (BI) system were gathered. Then, according to the type of information available in the occupational medical records, business intelligence system including data warehouse and dashboards were implemented. Finally, to find out the effect of dashboards on the process of creating healthcare reports, the authors investigated the taskcomplexity, speed, and usability of the system using the cognitive walkthrough method, System Usability Scale (SUS), and Software Usability Measurement Inventory (SUMI) questionnaires. Results: Findings indicated that the existing system was not user-friendly, was difficult to use and very slow, and required a lot of experience to work with. Results show that BI dashboards can tackle these problems. Moreover, the results of the usability evaluation of BI dashboards using the SUS and SUMI questionnaires were 90/100 and 67/73, respectively. Conclusion: Based on the results, it can be concluded that the business intelligence dashboard can solve the problems of traditional reporting systems such as slowness and difficulty in producing analytical reports. Also, usability of BI dashboards was acceptable. Results indicated that BI dashboards could solve the mentioned problems, were much faster and user- friendlier than the existing system, and needed a little knowledge to work with. BI dashboard drastically decreases the problems of health managers in creating reports. | ||
کلیدواژهها | ||
Clinical decision support systems؛ Business intelligence؛ Clinical dashboard؛ Data analysis؛ Usability evaluation | ||
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