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A Distributed Clinical Decision Support System Architecture

المصدر: مجلة جامعة الملك سعود - علوم الحاسب والمعلومات
الناشر: جامعة الملك سعود
المؤلف الرئيسي: El-Sappagh, Shaker H. Ali (Author)
مؤلفين آخرين: El-Masri, Samir (Co-Author)
المجلد/العدد: مج26, ع1
محكمة: نعم
الدولة: السعودية
التاريخ الميلادي: 2014
الصفحات: 69 - 78
DOI: 10.33948/0584-026-001-007
ISSN: 1319-1578
رقم MD: 973015
نوع المحتوى: بحوث ومقالات
اللغة: الإنجليزية
قواعد المعلومات: science
مواضيع:
كلمات المؤلف المفتاحية:
Data Mining | Knowledge Management | Clinical Decision Support Systems (CDSS) | Electronic Health Record | Health Informatic
رابط المحتوى:
صورة الغلاف QR قانون
حفظ في:
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024 |3 10.33948/0584-026-001-007 
041 |a eng 
044 |b السعودية 
100 |9 523855  |a El-Sappagh, Shaker H. Ali  |e Author 
245 |a A Distributed Clinical Decision Support System Architecture 
260 |b جامعة الملك سعود  |c 2014 
300 |a 69 - 78 
336 |a بحوث ومقالات  |b Article 
520 |b This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR), data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals. The architecture will work extremely well in distributed EHR environments in which each hospital has its own local EHR, and it satisfies the compatibility, interoperability and scalability objectives of an EHR. The system will also have a set of distributed knowledge bases. Each knowledge base will be specialized in a specific domain (i.e., heart disease), and the model achieves cooperation, integration and interoperability between these knowledge bases. Moreover, the model ensures that all knowledge bases are up-to date by connecting data mining engines to each local knowledge base. These data mining engines continuously mine EHR databases to extract the most recent knowledge, to standardize it and to add it to the knowledge bases. This framework is expected to improve the quality of healthcare, reducing medical errors and guaranteeing the safety of patients by helping clinicians to make correct, accurate, knowledgeable and timely decisions. 
653 |a نظم المعلومات الإدارية  |a المعلومات الصحية  |a الرعاية الصحية  |a الأخطاء الطبية 
692 |b Data Mining  |b Knowledge Management  |b Clinical Decision Support Systems (CDSS)  |b Electronic Health Record  |b Health Informatic 
700 |9 524581  |a El-Masri, Samir  |e Co-Author 
773 |c 007  |e Journal of King Saud University (Computer and Information Sciences)  |f Maǧalaẗ ǧamʼaẗ al-malīk Saud : ùlm al-ḥasib wa al-maʼlumat  |l 001  |m مج26, ع1  |o 0584  |s مجلة جامعة الملك سعود - علوم الحاسب والمعلومات  |v 026  |x 1319-1578 
856 |u 0584-026-001-007.pdf 
930 |d y  |p y 
995 |a science 
999 |c 973015  |d 973015 

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