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Quality of patient information in emergency department
- Source :
- International Journal of Health Care Quality Assurance. 32:108-119
- Publication Year :
- 2019
- Publisher :
- Emerald, 2019.
-
Abstract
- Purpose 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. Design/methodology/approach 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. Findings 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. Originality/value 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.
- Subjects :
- Hospital information system
02 engineering and technology
Iran
Shahid
Access to Information
03 medical and health sciences
0302 clinical medicine
Patient satisfaction
Health care
0202 electrical engineering, electronic engineering, information engineering
Electronic Health Records
Humans
Medicine
030212 general & internal medicine
Descriptive statistics
business.industry
Health Policy
Emergency department
medicine.disease
General Business, Management and Accounting
Checklist
Data Accuracy
Cross-Sectional Studies
Data quality
Hospital Information Systems
020201 artificial intelligence & image processing
Medical emergency
Emergency Service, Hospital
business
Subjects
Details
- ISSN :
- 09526862
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- International Journal of Health Care Quality Assurance
- Accession number :
- edsair.doi.dedup.....bba0c14a678eee99404f876b7e9c17dc
- Full Text :
- https://doi.org/10.1108/ijhcqa-09-2017-0177