Volume 7, Issue 1 (Spring 2024)
Iran J Health Insur 2024, 7(1): 14-21 |
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Habibian A H, Tajfar A H, Jamali M. Evaluating the Satisfaction and Applicability of Business Intelligence (BI) in Iran Health Insurance Organization. Iran J Health Insur 2024; 7 (1) :14-21
URL: http://journal.ihio.gov.ir/article-1-313-en.html
URL: http://journal.ihio.gov.ir/article-1-313-en.html
1- Department of Management, Payame Noor University of Tehran Province, Tehran, Iran
2- Department of Management, Payame Noor University of Tehran Province, Tehran, Iran ,amir.tajfar@pnu.ac.ir
3- National Center for Health Insurance Research, Tehran, Iran
2- Department of Management, Payame Noor University of Tehran Province, Tehran, Iran ,
3- National Center for Health Insurance Research, Tehran, Iran
Abstract: (174 Views)
Introduction: Nowadays, most organizations deal with a tremendous volume of data. The Iran Health Insurance Organization, with a significant financial turnover, has utilized 60 information dashboards since 2017 to enhance the management of medical costs through business intelligence technologies. The purpose of this paper was to investigate the level of satisfaction and applicability of business intelligence (BI) in Iran's health insurance organization.
Methods: A descriptive-analytical and applied cross-sectional study conducted in 2023 involved a population of 401 participants. The study population consists of 401 people, which consists of the questionnaire data collection tool developed by the researcher. The reliability and validity of the questionnaire was checked and confirmed. 311 people completed the questionnaire. Descriptive statistics including mean, standard deviation, skewness and kurtosis coefficients were used to describe the data, and T-tests and analysis of variance were used in the statistical inference to analyze data.
Results: 65.9% of male respondents, people with experience more than 25 years, the most (27.7%) and people with experience less than 5 years, the least (2.6%) group. Official employees accounted for the largest group of respondents with 73.6%. The highest satisfaction is found in the variable "improvement in decision-making through dashboards" with an average of 3.71 (74.1% satisfaction rate), while the lowest satisfaction is related to the variable "data content of the dashboards" with an average of 3.58 (63.2% satisfaction rate). The average satisfaction in total is 3.64 (satisfaction rate 72.8%).
Conclusion: New technologies, especially business intelligence technologies, can help organizations effectively.
Methods: A descriptive-analytical and applied cross-sectional study conducted in 2023 involved a population of 401 participants. The study population consists of 401 people, which consists of the questionnaire data collection tool developed by the researcher. The reliability and validity of the questionnaire was checked and confirmed. 311 people completed the questionnaire. Descriptive statistics including mean, standard deviation, skewness and kurtosis coefficients were used to describe the data, and T-tests and analysis of variance were used in the statistical inference to analyze data.
Results: 65.9% of male respondents, people with experience more than 25 years, the most (27.7%) and people with experience less than 5 years, the least (2.6%) group. Official employees accounted for the largest group of respondents with 73.6%. The highest satisfaction is found in the variable "improvement in decision-making through dashboards" with an average of 3.71 (74.1% satisfaction rate), while the lowest satisfaction is related to the variable "data content of the dashboards" with an average of 3.58 (63.2% satisfaction rate). The average satisfaction in total is 3.64 (satisfaction rate 72.8%).
Conclusion: New technologies, especially business intelligence technologies, can help organizations effectively.
Type of Study: Research |
Subject:
Special
Received: 2024/02/26 | Revised: 2024/08/10 | Accepted: 2024/05/18 | ePublished: 1901/12/14
Received: 2024/02/26 | Revised: 2024/08/10 | Accepted: 2024/05/18 | ePublished: 1901/12/14
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