Precision of EMR Data:The Case or a Drug and Alcohol Service
Error-laden data can negatively affect clinical and operational decision making,research findings and funding allocation.This study examined the number and types of data errors in an electronic medical record(EMR)system in a Drug and Alcohol service.Specifically,errors in service data were examined.Three months after the implementation of the EMR system,9,379 errors were identified from ten error reports generated between March 2015 and May 2016.The errors were grouped into four types: mismatched data fields(60.5%),duplicate medical record error(3.2%),date/time error(8.8%)and blank field error(27.4%).The errors can be prevented by adding functions,such as alert messages in the EMR system.How and why the errors occur need to be investigated in future studies.
Electronic Health Records Informatics Medical Order Entry Systems
Siyu Qian Esther Munyisia Ping Yu David Hailey David Reid
School of Computing and Information Technology,University of Wollongong,Wollongong,New South Wales,A School of Psychology and Public Health,La Trobe University,Melbourne,Victoria,Australia Illawarra Shoalhaven Local Health District,Drug and Alcohol Service,New South Wales,Australia
国际会议
第十六届世界医药健康信息学大会((MEDINFO2017)、第二届世界医药健康信息学华语论坛(WCHIS 2017)、第15届全国医药信息学大会(CMIA 2017)
苏州
英文
1118-1122
2017-08-21（万方平台首次上网日期，不代表论文的发表时间）