Develop a Surveillance System for Hospital-Acquired Pneumonia

碩士 === 元智大學 === 資訊管理學系 === 100 === Healthcare-associated infections (HAIs) are infections that patients acquire during the course of receiving treatment for other conditions within a healthcare setting. The CDC’s guidelines classify healthcare-associated infections (HAIs) into four major types: urin...

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Bibliographic Details
Main Authors: Yu-Wen Yang, 楊郁文
Other Authors: Chien-LungChan
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/69759632431018752956
Description
Summary:碩士 === 元智大學 === 資訊管理學系 === 100 === Healthcare-associated infections (HAIs) are infections that patients acquire during the course of receiving treatment for other conditions within a healthcare setting. The CDC’s guidelines classify healthcare-associated infections (HAIs) into four major types: urinary tract infection (UTI), surgical-site infection (SSI), blood stream infection (BSI), and respiratory tract infection (RTI). The respiratory tract infection that reported in intensive care unit (ICU) of patients is the most common type of HAI. Pneumonia is representative of RTI and can be an important cause of morbidity and mortality in ICU patients. HAI surveillance is a systematic, ongoing data collection, analysis and reporting process that require frequent, repeated and detailed bedside assessment on a patient by patient basis. In the past, it is time-consuming and costly, and therefore, HAI surveillance in many hospitals couldn’t regularly be performed. Nowadays, most hospitals in Taiwan have adopted electronic medical records (EMRs) to support day-to-day clinical practice. In this study, we have taken advantage of integration of EMRs of a hospital, and establish a hospital-acquired pneumonia surveillance information system based on a service-oriented architecture (SOA) technology. In the system design, the SOA technology was used for integration of the surveillance data, which are distributed in the different hospital information systems. The system architecture is flexible, and can support various levels of computerized workflows for HAI surveillance. As a result, the system can provide comprehensive data of patients for infection control professionals and support their daily surveillance tasks more responsively and efficiently.