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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42628完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 賴飛羆 | |
| dc.contributor.author | Chen Ying-Yu | en |
| dc.contributor.author | 陳盈伃 | zh_TW |
| dc.date.accessioned | 2021-06-15T01:18:07Z | - |
| dc.date.available | 2012-07-30 | |
| dc.date.copyright | 2009-07-30 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-07-27 | |
| dc.identifier.citation | [1]. Burke JP. Infection Control - A problem for patient safety. N Engl J Med 2003;348:651.
[2]. Allegranzi B, Storr J, Dziekan G, et al. The first Global Patient Safety Challenge “Clean Care is Safer Care”: from launch to current progress and achievements. J Hosp Infect 2007;65:115-23. [3]. Sheng WH, Wang JT, Lu DCT, et al. Comparative impact of hospital-acquired infections on medical costs, length of hospital stay and outcome between community hospitals and medical centers. J Hosp Infect 2005;59:205-14. [4]. Grundmann H, Barwolff S, Tami A, et al. How many infections are caused by patient-to-patient transmission intensive care units? Crit Care Med 2005;33:946-51. [5]. Lindenauer PK, Remus D, Roman S, et al. Public reporting and pay for performance in hospital quality improvement. New Engl J Med 2007;356:486-96. [6]. Wenzel RP, Bearman GML, Brewer TF, et al. A Guide to Infection Control in the Hospital, 4th edition. International Society of Infectious Diseases, 2008. [7]. Nicolle LE. Infection Control Programmes to Control Antimicrobial Resistance. World Health Organization. 2001. [8]. Muto CA, Jernigan JA, Ostrowsky BE, et al. SHEA Guideline for preventing nosocomial transmission of multidrug-resistant strains of Staphylococcus aureus and Enterococcus. Infect Control Hospital Epidemiol 2003;5:363-386. [9]. CDC. Recommendations for preventing the spread of vancomycin resistance recommendations of the hospital infection control practices advisory committee (HICPAC). MMWR 1995；44：1-13. [10]. MATLAB Cluster Analysis http://www.mathworks.com/access/helpdesk/help/toolbox/stats/index.html?/access/helpdesk/help/toolbox/stats/linkage.html&http://www.google.com.tw/search?q=MATLAB+Hierarchical+Clustering&ie=utf-8&oe=utf-8&aq=t&rls=org.mozilla:zh-TW:official&client=firefox-a [11]. Microsoft Chart Controls. http://code.msdn.microsoft.com/mschart [12]. The MathWorks http://www.mathworks.com/ [13]. Health Level Seven (HL7). HL7 Standard v2.5, 2003, chapter4 p4-14 - p4-17. [14]. Hacek DM, Cordell RL, Noskin GA, Peterson LR (2004) Computer-assisted surveillance for detecting clonal outbreaks of nosocomial infection. J Clin Microbiol 42: 1170–1175. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/42628 | - |
| dc.description.abstract | 有越來越多的人感染多重抗藥微生物。 感染多重抗藥微生物的病人會有較高的死亡率、較長的治療時間和較高的醫療成本。 因此，醫院內的感染控制人員有責任去發現和追蹤感染多重抗藥微生物的病人，並去阻止多重抗藥微生物在醫院內的傳播。 目前醫院內多重抗藥微生物的監測仰賴人工作業。 但是人工監測可能會因為不同的人和經驗有不同的監測品質或人為上的疏失。
我們已經開發出多重抗藥微生物即時自動監測系統。 這個系統可以進行24小時的即時監測動作，減少人工作業上的疏失，提升院內多重抗藥微生物監測品質，進而增進病人的安全。 | zh_TW |
| dc.description.abstract | Rates of infections with multiple drug-resistant organisms (MDROs) continue to rise. Patients with MDROs infections suffer increased morbidity and mortality, longer lengths of stay and greater healthcare costs. Thus, a hospital’s infection control team is responsible for identifying and tracking the infections with multiple drug-resistant organisms and stopping its spread. Current surveillance of drug-resistant infections in hospital relies on the infection control expert’s experience and sensitivity. Human performance varies by experience and is error prone.
We have developed a web-based hospital-wide MDRO surveillance system. This system can facilitate entire medical staff for their operations in the hospital, and improve patient safety as well as the quality of medical cares. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T01:18:07Z (GMT). No. of bitstreams: 1 ntu-98-R96944028-1.pdf: 1966460 bytes, checksum: afe851d84dc7aec7129971cd1e11a473 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 致 謝 I
中文摘要 II Abstract III Chapter 1 Introduction 1 1.1 Background 1 1.2 Motivation and Objective 2 1.3 Thesis Organization 3 Chapter 2 Background Knowledge and Related Works 4 2.1 Introduce the Hierarchical Clustering 4 2.2 Introduce New Technique to Improve the Development of System 7 2.2.1 Asynchronous JavaScript and XML 7 2.2.2 Microsoft Chart Controls 9 2.2.3 MATLAB 10 Chapter 3 Real-time Automated MDRO Surveillance System 11 3.1 Architecture Overview 11 3.2 MDRO Detection 13 3.2.1 Candidate Detector 13 3.2.2 Conflict Merger 17 3.3 MDRO Analysis 18 3.3.1 MDRO Analysis on the Temporal and Spatial Distribution 19 3.3.2 The Analysis of Antibiotic Test Results 20 3.4 MDRO Presentation 23 3.4.1 Visualization 24 3.4.1.1 Visualization on the Temporal and Spatial Distribution 24 3.4.1.2 The Visualization of Antibiotic Test Results 25 3.4.2 Notification 27 Chapter 4 System Assessment and Result 28 4.1 Materials and Methods of Assessment 28 4.1.1 Materials 28 4.1.2 Methods of Assessment 28 4.1.2.1 Definition of terms 28 4.1.2.2 Statistical analysis 29 4.2 Result 31 Chapter 5 Conclusion 35 REFERENCE 36 LIST OF FIGURES Figure 1 The tree diagram 6 Figure 2 The difference between traditional approach and Ajax approach 9 Figure 3 System architecture of web-based MDRO system 12 Figure 4 The similarity of Enterococcus faecium (VRE) with the hamming distance 23 Figure 5 The trend of infection spread and the details of each number 25 Figure 6 VRE from 2008.10.26 to 2008.11.1 26 Figure 7 The similarity of VRE from 2008.10.26 to 2008.11.1 27 LIST OF TABLES Table 1 The definition of germ 13 Table 2 Classification of antibiotic susceptibility results for non-fermentative gram-negative bacteria 15 Table 3 Truth table 30 Table 4 The overall pattern of suspected and potential outbreaks during 2008 31 Table 5 Truth table of 2SD+80% criteria 33 Table 6 Truth table of 3SD+80% criteria 33 Table 7 Truth table of increase of three points criteria 33 Table 8 Sensitivity, specificity, PPV, NPV for detecting outbreaks 34 | |
| dc.language.iso | en | |
| dc.subject | 抗生素感受性結果分析 | zh_TW |
| dc.subject | 多重抗藥微生物 | zh_TW |
| dc.subject | 監測系統 | zh_TW |
| dc.subject | 監測品質 | zh_TW |
| dc.subject | surveillance system | en |
| dc.subject | multiple drug-resistant organisms | en |
| dc.title | 以多重抗藥微生物即時自動監測系統為基礎的多重抗藥微生物群聚的偵測 | zh_TW |
| dc.title | A Study of Detecting the Outbreaks of Multidrug-Resistant Organisms – Based on a Web-Based Hospital-Wide Automated Multidrug-Resistant Organisms Surveillance System | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張延任,尚榮基,黃國軒,林振群 | |
| dc.subject.keyword | 多重抗藥微生物,監測系統,監測品質,抗生素感受性結果分析, | zh_TW |
| dc.subject.keyword | multiple drug-resistant organisms,surveillance system, | en |
| dc.relation.page | 37 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-07-27 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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|---|---|---|---|
| ntu-98-1.pdf 未授權公開取用 | 1.92 MB | Adobe PDF |
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