整合實證醫學與專家經驗之知識管理系統
To Develop a Medical Knowledge Management System by Integrating Evidence-Based Medicine and Expert’s Experience
Chun Hao Chang
abYea Wen Wu
aLi Liu
aba
Graduate Institute of Medical Informatics, Taipei Medical University
b
Taipei Medical University Hospital Abstract
The medical environment changes continuously, clinicians confront more challenges than ever.
Therefore, Evidence-Based Medicine (EBM) becomes an important basis for medical professionals to make decisions. However, the medical literature is immense but only small fraction is applicable in answering clinical questions. Unfortunately, the practice of traditional EBM costs enormous money and time. How to help clinicians for their decision making and to select correctly from quantitative historical traditions and expert’s experience by less cost and time consuming timely is the objective of this study. In this paper, we present a mechanism integrating Evidence- Based Medicine 、 data sources and clinical experience. With text mining tool and expert’s discussion to explore our study, we formulate systematically traditional review articles to define different level scores of data sources and then structure a knowledge map after the discussion of professional groups for conclusions that are evidence-based rather than commentary.
With this analytic technique, the hidden and valuable data will be transferred to a methodized overview and can perform as supplementary back up for EBM for clinicians while making decisions to enhance the quality of patient safety.
Key Word : Evidence-Based Medicine 、Expert’s Clinical Experience、Text Mining、Medical Knowledge System
71
