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      标题:微信端智能解读检验报告单系统的构建及应用
      作者:柯娟玉,于帆,黄良娟,陈思平,张立俊,韦唯,刘欣桐,余蕙君,周义文    南方医科大学深圳医院检验科,广东 深圳 518101
      卷次: 2020年31卷8期
      【摘要】 目的 构建微信端检验报告单智能解读系统,为患者提供专业的结果解读。方法 依托微信端接口及实验室信息系统,通过知识获取、解释器及推理器三个模块整合并建立智能解读系统。结果 患者可从微信端检验报告单智能解读系统查询检验报告,当结果出现异常,可在微信端进行点击,获取异常指标的临床意义。系统上线后,成立科室专家团队,对常见 204项检验指标的系统解读效果进行测试,结果显示其解读准确率为 100%(204/204),但是存在以下不足:报告智能解读是针对单个异常指标进行解读,不能进行综合解读,如报告单出现多个结果异常,只能逐一分析。结论 微信端检验报告单智能解读系统可对报告异常指标提供快捷准确的解读,有推广价值,系统还有改进空间。
      【关键词】 微信端;检验报告单;人工智能;解读
      【中图分类号】 R446 【文献标识码】 A 【文章编号】 1003—6350(2020)08—1029—04

Construction and application of WeChat intelligent interpretation test report system.

KE Juan-yu, YU Fan,HUANG Liang-juan, CHEN Si-ping, ZHANG Li-jun, WEI Wei, LIU Xin-tong, YU Hui-jun, ZHOU Yi-wen. Department ofClinical Laboratory, Shenzhen Hospital of Southern Medical University, Shenzhen 518101, Guangdong, CHINA
【Abstract】 Objective To construct an intelligent interpretation system of WeChat test report, provide profession-al interpretation for patients. Methods Relying on WeChat interface and laboratory information system, an intelligent in-terpretation system was established by integrating knowledge acquisition, interpreter and inference module. Results Pa-tients can query the test report from the WeChat test report intelligent interpretation system. When the results are abnor-mal, they can click on the WeChat end to obtain the clinical significance of the abnormal indicators. After the system wentonline, a department expert team was set up to test the system interpretation effect of 204 common inspection indicators.The results showed that the interpretation accuracy rate was 100% (204/204), but there were the following shortcomings:intelligent interpretation of report was to interpret a single abnormal indicator, which could not be interpreted comprehen-sively. If there were multiple result exceptions in the report, they could only be analyzed one by one. Conclusion The in-telligent interpretation system of WeChat inspection report can provide a quick and accurate interpretation of the reportabnormal indicators, which is worth popularizing, and the system has room for improvement.
      【Key words】 WeChat; Inspection report; Artificial intelligence; Interpretation·短篇论著·doi:10.3969/j.issn.1003-6350.2020.08.023基金项目:广东省深圳市宝安区医疗卫生基础研究项目(编号:深宝科[2019] 56号)

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