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一种基于光学字符识别技术的超声报告自动化生成方法

A Computer Automation Method for Generating Ultrasound Reports Based on Optical Character Recognition Technology
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摘要 目的开发一种基于光学字符识别技术的超声报告自动化生成方法,并分析其临床应用效果。方法对配备触摸屏的超声诊断仪的测量及注释进行规范化处理,建立超声报告模板数据库,编制计算机程序,利用光学字符识别技术识别图像中的字符信息,从而自动化生成超声报告。对比361例超声检查中常规手工编写报告及计算机自动化生成报告所用的时间及工作量(点击次数),分析36例超声检查结果中的字符识别正确率。结果使用光学字符识别技术可有效提取超声图像中的字符,并自动化生成超声报告,且以5个工作日为计算单位,可节省50.9%的超声报告编写时间,减少63.2%的超声报告编写工作量。结论利用光学字符识别技术自动化生成超声报告,可实时编写报告,减少超声医师工作量,提高工作效率,但其在推广应用方面仍存在一定局限,需在适用性、通用性方面继续加大研究。 Objective A computer automation method for generating ultrasound reports based on optical character recognition technology was developed and its clinical application effects were analyzed.Methods The measurements and annotations in the ultrasonic diagnostic instrument equipped with touch screen were standardized,and the template database of the ultrasonic reports was developed and then the computer program was compiled to recognize the character information in the image by using the optical character recognition technology,so as to automatically generate ultrasonic reports.The time and workload(number of clicks)of routine manual report writing and computer automatic report generation for 361 cases of ultrasonography were compared,and the recognition accurate rate in 36 cases of ultrasonography results were analyzed.Results The use of optical character recognition technology can effectively extract characters from ultrasound images and automate the generation of ultrasound reports.Taking 5 workdays as the calculate unit,the optical character recognition technology can reduce the time for writing ultrasound reports by 50.9%,and the workload of writing ultrasound reports by 63.2%.Conclusions Using optical character recognition technology to automatically generate ultrasound reports can write reports in real time,which reduces the workload of ultrasound doctors and improves work efficiency.However,there are still certain limitations in its popularization and application,and further research is needed in terms of applicability and versatility.
作者 黄友清 杨辉虎 魏达友 罗文高 张翠萍 Huang Youqing;Yang Huihu;Wei Dayou;Luo Wengao;Zhang Cuiping(Maoming People's Hospital,Maoming Guangdong 525100,China)
机构地区 茂名市人民医院
出处 《医疗装备》 2023年第19期19-22,共4页 Medical Equipment
基金 茂名市科技计划项目(2021578)。
关键词 光学字符识别 超声报告 计算机自动化 超声测量 超声图像注释 Optical character recognition Ultrasound report Computer automation Ultrasound measurement Ultrasound image annotation
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