التفاصيل البيبلوغرافية
العنوان: |
Finding similar cases within a hospital information system. |
المؤلفون: |
Borst F; Division d'Informatique Médicale, HUG, 1211 Geneva 14, Switzerland., Thurler G, Breant C, Lehner-Godinho B, Calmy A, Meier C |
المصدر: |
Studies in health technology and informatics [Stud Health Technol Inform] 2000; Vol. 77, pp. 875-9. |
نوع المنشور: |
Journal Article |
اللغة: |
English |
بيانات الدورية: |
Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Print ISSN: 0926-9630 (Print) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform |
أسماء مطبوعة: |
Original Publication: Amsterdam ; Washington, DC : IOS Press, 1991- |
مواضيع طبية MeSH: |
Artificial Intelligence* , Hospital Information Systems* , Medical Record Linkage* , Medical Records Systems, Computerized*, Decision Support Systems, Clinical ; Humans ; Switzerland |
مستخلص: |
Most of the theoretical medical knowledge comes from literature. The knowledge obtained from the vast majority of patients is then lost. The vast majority of patients do not participate in the elaboration of medical knowledge, apart from the lucky few entering a clinical trial or a published case study. Moreover, locally treated patients do not always correspond to the same time, space or age context as literature patients. How can the knowledge of one patient be used for treating other patients? How can we save the knowledge of our own patients? Hospital information systems contain a lot of detailed and precise information about many patients over several years. Databases containing detailed information can provide solutions based on case analysis (Case-based reasoning or "similar case approach"). An example of a Geneva's decision system called Archimed is shown here. |
تواريخ الأحداث: |
Date Created: 20010224 Date Completed: 20010222 Latest Revision: 20041117 |
رمز التحديث: |
20231215 |
PMID: |
11187679 |
قاعدة البيانات: |
MEDLINE |