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自助挂号信息导引系统研究
引用本文:闻智,;徐冉,;蒋艳峰.自助挂号信息导引系统研究[J].中国数字医学,2014(10):26-28.
作者姓名:闻智  ;徐冉  ;蒋艳峰
作者单位:[1]解放军总医院门诊内科,北京市复兴路28号100853; [2]北京邮电大学自动化学院,北京市海淀区西土城路10号100876; [3]兰州大学公共卫生学院,甘肃省兰州市东岗西路199号730000
基金项目:解放军总医院临床科研扶持基金(编号:2013FC-GLCX-1003)
摘    要:研究完善了专科、专家、专病等数据库,利用文本挖掘和D3技术搭建了自助挂号指南系统,使患者可以根据症状准确选择对症专科专家进行挂号,极大提高了患者网络预约和自助挂号的准确率,减少挂错号及退号现象,从而提高医院门诊效率。此外,系统还可进行护士的岗前培训和测验,规范护士分诊流程。

关 键 词:症状索引  文本挖掘  专科专家知识库

The Research of Self-help Registration System Based on Information Index
Affiliation:WEN Zhi, XU Ran, JIANG Yan-feng( Clinic of Internal Medicine, Chinese PLA General Hospital, Beijing 100853, P.R.C.)
Abstract:This study improved the specialist, expert, special disease database, using text mining and D3 technology to build a self-help registration guide system, which can accurately select department and specialists according to the symptoms. It greatly improves the accuracy of network booking and self-service register of patients, reduce the rate of wrong registration and the retreat, thus improving hospital efficiency. In addition, the system can also carry out nurse training and test, standard nurse triage process.
Keywords:symptom index  text mining  special expert knowledge base
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