WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI
المؤلفون المشاركون
Ragab, Abdul Hamid Mohamed
Noaman, Amin Yousef
Al-Abdullah, Nabeela
Jamjoom, Arwa
Nadeem, Farrukh
Ali, Anser G.
المصدر
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-07-05
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Central-line-associated bloodstream infection (CLABSI) rates are a key quality metric for comparing hospital quality and safety.
Manual surveillance systems for CLABSIs are time-consuming and often limited to intensive care units (ICUs).
A computer-automated method of CLABSI detection can improve the validity of surveillance.
A new web-based, multitiered surveillance system for predicting and reducing CLABSI is proposed.
The system has the capability to collect patient-related data from hospital databases and hence predict the patient infection automatically based on knowledge discovery rules and CLABSI decision standard algorithms.
In addition, the system has a built-in simulator for generating patients’ data records, when needed, offering the capability to train nurses and medical staff for enhancing their qualifications.
Applying the proposed system, both CLABSI rates and patient treatment costs can be reduced significantly.
The system has many benefits, among which there is the following: it is a web-based system that can collect real patients’ data from many IT resources using iPhone, iPad, laptops, Internet, scanners, and hospital databases.
These facilities help to collect patients’ actual data quickly and safely in electronic format and hence predict CLABSI efficiently.
Automation of the patients’ data diagnosis process helps in reducing CLABSI detection times.
The system is multimedia-based; it uses text, colors, and graphics to enhance patient healthcare report generation and charts.
It helps healthcare decision makers to review and approve policies and surveillance plans to reduce and prevent CLABSI.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Noaman, Amin Yousef& Ragab, Abdul Hamid Mohamed& Al-Abdullah, Nabeela& Jamjoom, Arwa& Nadeem, Farrukh& Ali, Anser G.. 2018. WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI. BioMed Research International،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1127273
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Noaman, Amin Yousef…[et al.]. WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI. BioMed Research International No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1127273
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Noaman, Amin Yousef& Ragab, Abdul Hamid Mohamed& Al-Abdullah, Nabeela& Jamjoom, Arwa& Nadeem, Farrukh& Ali, Anser G.. WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI. BioMed Research International. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1127273
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1127273
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر