Data comprise one of the key resources currently used in organizations. High-quality data are those that are appropriate for use by the customer. The quality of data is a key factor in determining the level of healthcare in hospitals, and its improvement leads to an improved quality of health and treatment and ultimately increases patient satisfaction. The purpose of this paper is to assess the quality of emergency patients’ information in a hospital information system.
This cross-sectional study was conducted on 385 randomly selected records of patients admitted to the emergency department of Shahid Beheshti Hospital in Kashan, Iran, in 2016. Data on five dimensions of quality, including accuracy, accessibility, timeliness, completeness and definition, were collected using a researcher-made checklist and were then analyzed in SPSS. The results are presented using descriptive statistics, such as frequency distribution and percentage.
The overall quality of emergency patients’ information in the hospital information system was 86 percent, and the dimensions of quality scored 87.7 percent for accuracy, 86.8 percent for completeness, 83.9 percent for timeliness, 79 percent for definition and 62.1 percent for accessibility.
Increasing the quality of patient information at emergency departments can lead to improvements in the timely diagnosis and management of diseases and patient and personnel satisfaction, and reduce hospital costs.
This study was supported by a grant from the Research Council of Kashan University of Medical Sciences under the ID 9411. The authors wish to express the gratitude to all the employees of the emergency department’s information system at Shahid Beheshti Hospital in Kashan and Ms Samira Abbasi-Moghadam for their cooperation in data collection and the Research Council of Kashan University of Medical Sciences for funding this project.
Farzandipour, M., Karami, M., Arbabi, M. and Abbasi Moghadam, S. (2019), "Quality of patient information in emergency department", International Journal of Health Care Quality Assurance, Vol. 32 No. 1, pp. 108-119. https://doi.org/10.1108/IJHCQA-09-2017-0177Download as .RIS
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