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Volume 5, Issue 1 (Spring and Summer 2019)                   JMIS 2019, 5(1): 3-11 | Back to browse issues page

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Alipour J, Mehdipour Y, Sheibani-Nasab P. Evaluation of Hospital Information Systems Data Quality in Educational Hospitals of Zahedan University of Medical Sciences form Users’ Perspective. JMIS. 2019; 5 (1) :3-11
URL: http://jmis.hums.ac.ir/article-1-181-en.html
Department of Health Information Technology, Faculty of Allied Medical Sciences, Zahedan University of Medical Sciences, Zahedan, Iran.
Abstract:   (3446 Views)
Aim: High quality data are prerequisite of high-quality health care. Present study aimed to evaluate hospital information system data quality in educational hospitals of Zahedan University of Medical Sciences.
Methods: The applied cross-sectional study was conducted in 2018. Research population comprises HIS’ users of five public hospitals affiliated to Zahedan University of Medical Sciences. The convenient sampling technique was used for   the selection of 300 samples. Data were collected using a researcher-conducted questionnaire and analyzed with SPSS software using descriptive and analytic statistics.
Results: The mean score of accessibility included (7/35±1/61), relevancy (7/01±1/18), security (7/07±1/39), understandability (7/16±1/23), concise representation (7/12±1/32), ease of operation (7/12±1/20), and interpretability (7/21±1/09) out of a total 10 achieved from users’ perspective. The mean score of objectivity comprised (6/86±1/32), reputation (6/65±1/33), appropriate amount (6/93±1/43), believability (6/88±1/36), timeliness (6/80±1/49), completeness (6/74±1/29), consistent representation (6/87±1/29), and accuracy (6/69±1/15) out of a total of 10. A significant and positive correlation exists between all of evaluated factors (p-value < 0/05).
Conclusion: The evaluated hospital information systems data quality was considered an optimal level in terms of accessibility, relevancy, security, understandability, concise representation, ease of operation, and interpretability factors and were relatively optimal in terms of objectivity, reputation, appropriate amount, believability, timeliness, completeness, consistent representation, and accuracy factors. Thus, consideration and improvement of data, quality of HIS seem necessary.
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Type of Study: Applicable | Subject: Special
Received: 2019/05/18 | Accepted: 2019/07/27 | Published: 2019/09/15

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