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 | 是 |
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 ) |