Ni Yuan, Zhu Huijia, Cai Peng, Zhang Lei, Qui Zhaoming, Cao Feng
IBM China Research, China.
Stud Health Technol Inform. 2012;180:215-9.
Evidence-based medicine (EBM) aims to apply the best available evidences gained from scientific method to clinical decision making. From the computer science point of view, the current bottleneck of applying EBM by a decision maker (either a patient or a physician) is the time-consuming manual retrieval, appraisal, and interpretation of scientific evidences from large volume of and rapidly increasing medical research reports. Patients do not have the expertise to do it. For physicians, study has shown that they usually have insufficient time to conduct the task. CliniQA tries to shift the burden of time and expertise from the decision maker to the computer system. Given a single clinical foreground question, the CliniQA will return a highly reliable answer based on existing medical research reports. Besides this, the CliniQA will also return the analyzed information from the research report to help users appraise the medical evidences more efficiently.
循证医学（EBM）旨在将科学方法所获得的最佳现有证据应用于临床决策。从计算机科学的角度来看，决策者（患者或医生）应用循证医学的当前瓶颈在于从大量且快速增长的医学研究报告中手动检索、评估和解释科学证据非常耗时。患者没有这样做的专业知识。对于医生而言，研究表明他们通常没有足够的时间来完成这项任务。CliniQA试图将时间和专业知识的负担从决策者转移到计算机系统。给定一个单一的临床前景问题，CliniQA将根据现有的医学研究报告返回一个高度可靠的答案。除此之外，CliniQA还将返回研究报告的分析信息，以帮助用户更有效地评估医学证据。
