用户视角下扎黑丹医科大学教育医院信息系统数据质量评价

J. Alipour, Y. Mehdipour, Pezhman Sheibani-Nasab
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引用次数: 1

摘要

目的:高质量的数据是高质量医疗服务的前提。本研究旨在对扎黑丹医科大学教育医院的医院信息系统数据质量进行评价。方法:应用横断面研究于2018年进行。研究对象包括扎黑丹医科大学附属五所公立医院的医疗卫生系统用户。采用方便抽样法,选取300个样本。数据收集采用研究人员进行问卷调查,并使用SPSS软件进行描述性和分析性统计分析。结果:可及性(7/35±1/61)、相关性(7/01±1/18)、安全性(7/07±1/39)、可理解性(7/16±1/23)、简洁性(7/12±1/32)、易操作性(7/12±1/20)、可解释性(7/21±1/09)(总分10分)。客观性的平均得分为(6/86±1/32)、声誉(6/65±1/33)、适度(6/93±1/43)、可信度(6/88±1/36)、及时性(6/80±1/49)、完整性(6/74±1/29)、一致性表征(6/87±1/29)、准确性(6/69±1/15)(总分10分)。各评价因子之间存在显著正相关(p值< 0/05)。结论:所评价的医院信息系统数据质量在可及性、相关性、安全性、可理解性、简明表述、易操作性、可解释性等因素上处于最佳水平,在客观性、美誉度、适度量、可信度、及时性、完整性、表述一致性、准确性等因素上处于相对最佳水平。因此,考虑和改进HIS的数据和质量似乎是必要的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Hospital Information Systems Data Quality in Educational Hospitals of Zahedan University of Medical Sciences form Users’ Perspective
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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