期刊論文

學年 104
學期 2
出版(發表)日期 2016-07-01
作品名稱 Intelligent Infection Surveillance System to assist the Control of Healthcare-Associated Infections
作品名稱(其他語言)
著者 Nan-Chen Hsieh, Jui-Fa Chen and Hsin-Che Tsai
單位
出版者
著錄名稱、卷期、頁數 Journal of Computers 27(2), pp.36-49
摘要 Healthcare-Associated Infections (HAI) are important quality indicators of healthcare, a leading cause of mortality and morbidity worldwide, and contributors to lower medical quality and increases in medical costs. Based on the definition and determining criteria of healthcare-related infections stipulated by Taiwan’s Centers for Disease Control, Department of Health, we created a program for an HAI determining rule, as well as an HAI monitoring system environment. With a data warehouse and data mining techniques as the core, we integrated all HAI-related data as analytical information for the purpose of decision-making. Key decision information was presented visually in a dashboard. In this way, infection control professionals are able to peruse abundant HAI information through a visual interface at anytime, anywhere. Traditionally, operation is done manually through continuous monitoring and automatic surveillance management. Decision makers can assess measuring indicators in real-time, which is critical to the management of HAI. This also allows HAI control professionals to cross-analyze and understand potential infection trends, and assist hospitals in developing a suitable HAI monitoring mechanism. By using the developed system, we can discover healthcare-related infection abnormalities earlier and provide infection control professionals with the ability to check on and conduct pre-decision analyses .
關鍵字 Healthcare-Associated Infections;Healthcare Information Technology;Automatic Surveillance
語言 en_US
ISSN 1991-1599
期刊性質 國外
收錄於 EI
產學合作
通訊作者
審稿制度
國別 USA
公開徵稿
出版型式 ,電子版,紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/108183 )