退伍军人事务部资助了一个随机试验,测试“触发”自动化监测系统是否能改善五种常见癌症的及时诊断和跟进。
'This program is like finding needles in a haystack, and we use information technology to make the haystack smaller and smaller so it's easier to find the needles,' Dr. Singh says.
辛格博士说:“这个项目就像是在干草堆中找针,我们利用信息技术让干草堆变得越来越小,这样就更容易找到针。”
More health-care systems are also turning to electronic decision-support programs that help doctors rank possible diagnoses by likelihood based on symptoms and notes in the medical record. In a study of one such system, called Isabel, researchers led by Dr. Graber found that it provided the correct diagnosis 96% of the time when key clinical features from 50 challenging cases reported in the New England Journal of Medicine were entered into the system. The American Board of Internal Medicine is studying how Isabel could be linked to assessments of physician skill and knowledge.
越来越多的医疗系统也开始采用电子决策支持程序来帮助医生根据症状和病历笔记为诊断结果的可能性进行排序。在一个名为“伊莎贝尔”(Isabel)的程序的研究中,由格雷伯博士带领的研究小组发现,刊登在《新英格兰医学杂志》(New England Journal of Medicine)上的50个疑难案例中的关键临床特征输入系统时,系统96%的情况下都给出了正确的诊断。美国内科学委员会(The American Board of Internal Medicine)正在研究如何将“伊莎贝尔”与医师技能和知识的评估联系起来。
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