Data Incompleteness Preventing Information Communication from Hospital Information Systems to the Iranian National Electronic Health Record (SEPAS)

R. Abbasi, Reza Khajouei, Monireh Sadeghi Jabali, M. Mirzaei
{"title":"Data Incompleteness Preventing Information Communication from Hospital Information Systems to the Iranian National Electronic Health Record (SEPAS)","authors":"R. Abbasi, Reza Khajouei, Monireh Sadeghi Jabali, M. Mirzaei","doi":"10.30699/fhi.v10i1.320","DOIUrl":null,"url":null,"abstract":"Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.","PeriodicalId":154611,"journal":{"name":"Frontiers in Health Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Health Informatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30699/fhi.v10i1.320","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Introduction: One of the well-known problems related to the information quality is the information incompleteness in health information systems. The purpose of this study was to investigate the completeness rate of patients’ information recorded in the hospital information system, sending information from which to Iranian electronic health record system (SEPAS) seemed to be unsuccessful.Methods: This study was conducted in six hospitals associated with Kerman University of Medical Sciences (KUMS) in Iran. In this study, 882 records which had failed to be sent from three hospital information systems to SEPAS were reviewed and the data were collected using a checklist. Data were analyzed using the descriptive and inferential statistics with SPSS.18.Results: A total of 18758 demographic and clinical information elements were examined. The rate of completeness was 55%. The highest completeness rate of demographic information was related to name, surname, gender, nationality, date of birth, father's name, marital status, place of residence, telephone number (79-100%), and in clinical information it was related to the final diagnosis (74%). The completeness rate of some information elements was significantly different among the hospitals (p <0.05). The completeness rate of information communicated to the Iranian national electronic health record was at a moderate level.Conclusion: This study showed that completeness rate is different among hospitals using the same hospital information system. The results of this study can help the health policymakers and developers of the national electronic health record in developing countries to improve completeness rate and also information quality in health information systems.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
数据不完整阻碍医院信息系统与伊朗国家电子健康记录(SEPAS)的信息通信
在卫生信息系统中,信息不完备是一个众所周知的与信息质量相关的问题。本研究的目的是调查医院信息系统中记录的患者信息的完成率,从医院信息系统向伊朗电子健康记录系统(SEPAS)发送信息似乎不成功。方法:本研究在伊朗克尔曼医科大学(KUMS)附属的六家医院进行。在本研究中,我们回顾了从三个医院信息系统发送到SEPAS的882份失败的记录,并使用清单收集数据。采用SPSS.18进行描述性统计和推断性统计。结果:共检查了18758个人口学和临床信息要素。完成率为55%。人口学信息完成率最高的是姓名、性别、国籍、出生日期、父亲姓名、婚姻状况、居住地、电话号码(79 ~ 100%),临床信息完成率最高的是与最终诊断相关的(74%)。部分信息要素的完备率各医院间差异有统计学意义(p <0.05)。提交给伊朗国家电子健康记录的信息完成率处于中等水平。结论:本研究表明,使用同一医院信息系统的医院之间的信息完备率存在差异。研究结果可以帮助发展中国家的卫生政策制定者和国家电子健康档案的开发者提高卫生信息系统的完整性和信息质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.20
自引率
0.00%
发文量
0
期刊最新文献
Self-Care Application for Rheumatoid Arthritis: Identifying Key Data Elements Effective use of electronic health records system for healthcare delivery in Ghana Predictive Modeling of COVID-19 Hospitalization Using Twenty Machine Learning Classification Algorithms on Cohort Data Development and Usability Evaluation of a Web-Based Health Information Technology Dashboard of Quality and Economic Indicators Potentially Highly Effective Drugs for COVID-19: Virtual Screening and Molecular Docking Study Through PyRx-Vina Approach
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1