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一种基于指南的头痛诊断决策支持系统。

A guideline-based decision support system for headache diagnosis.

作者信息

Yin Ziming, Dong Zhao, Yu Shengyuan, Lu Xudong, Feng Guanjun, Duan Huilong

机构信息

College of Biomedical Engineering and Instrument Science, Zhejiang University, Hangzhou, Zhejiang 310008, China.

出版信息

Stud Health Technol Inform. 2013;192:1022.

Abstract

The ratio of correct diagnosis for primary headache has always been relatively low for general practitioners due to the unacquaintance with headache guideline in Chinese primary hospitals. This study proposed a computerized headache guideline method using SAGE module and developed a decision support system for headache diagnosis, which could be expected to help general practitioners of primary hospitals improve diagnostic accuracy. 282 previously diagnosed cases from EMR were used to evaluate the diagnostic accuracy of the system, the result is: migraine 144/153 (94.1%), tension-type headache 89/100 (89.0%), cluster headache 10/11 (90.9%) and chronic daily headache 53/57(93.0%). The proposed system is in the starting phase of the implementation at the outpatient department of Neurology in Chinese PLA general hospital.

摘要

由于中国基层医院的医生不熟悉头痛指南,全科医生对原发性头痛的正确诊断率一直相对较低。本研究提出了一种使用SAGE模块的计算机化头痛指南方法,并开发了一种头痛诊断决策支持系统,有望帮助基层医院的全科医生提高诊断准确性。使用电子病历中的282例先前诊断的病例来评估该系统的诊断准确性,结果是:偏头痛144/153(94.1%),紧张型头痛89/100(89.0%),丛集性头痛10/11(90.9%),慢性每日头痛53/57(93.0%)。该系统在中国人民解放军总医院神经内科门诊正处于实施的起步阶段。

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