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人工智能语音随访系统在乳腺癌日间手术患者随访中的应用分析

Application Analysis of Artificial Intelligence Voice Follow-up System in the Follow-up of Breast Cancer Patients undergoing Day Surgery
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摘要 目的构建乳腺癌日间手术患者人工智能语音随访系统,评价临床应用效果。方法根据乳腺癌日间手术患者不同阶段的随访要求,设计人工智能语音随访系统。对电话接通率、随访耗时、信息采集完整率、字段提取准确率以及满意度等进行比较分析。结果人工智能语音随访系统共随访432例乳腺癌日间手术患者,共执行1089条随访记录,电话接通率为90.9%,信息采集完整率为97.7%,字段提取准确率为94.9%;第一次回访平均耗时(2.1±0.42)min,第二次回访平均耗时(1.6±0.45)min,第三次回访平均耗时(1.9±0.33)min,生存随访平均耗时(2.1±0.32)min,大大缩短了随访时间。结论人工智能语音随访系统可为乳腺癌日间手术患者搭建持续、快捷的医患沟通路径,提高了随访率,节约了人力成本,提高了服务质量。 Objective To construct an artificial intelligence voice follow-up system for breast cancer patients undergoing day surgery and evaluate its clinical application effect.Methods According to the follow-up requirements of breast cancer patients at different stages of day surgery,an artificial intelligence voice follow-up system was designed.The telephone connection rate,follow-up time,information collection integrity rate,field extraction accuracy rate and satisfaction were compared and analyzed.Results A total of 432 patients with breast cancer undergoing day surgery were followed-up by the artificial intelligence voice follow-up system.A total of 1089 follow-up records were performed.The telephone connection rate was 90.9%,the information collection integrity rate was 97.7%,and the field extraction accuracy rate was 94.9%.The average time of the first return visit was(2.1±0.42)min,the average time of the second return visit was(1.6±0.45)min,the average time of the third return visit was(1.9±0.33)min,and the average time of survival follow-up was(2.1±0.32)min,which greatly shortened the follow-up time.Conclusion The artificial intelligence voice follow-up system can build a continuous and fast doctor-patient communication path for breast cancer patients undergoing day surgery,improve the follow-up rate,save labor costs,and improve the service quality.
作者 郭丝锦 黄美玲 曹小花 王廷 GUO Sijin;HUANG Meiling;CAO Xiaohua(Xijing Hospital,the Air Force Medical University,PLA,Xi'an,Shaanxi,710032,China;不详)
出处 《中国卫生质量管理》 2024年第10期24-29,共6页 Chinese Health Quality Management
基金 陕西省自然科学基金重点项目(编号:2021JZ-29) 陕西省自然科学基金青年项目(编号:2023-JC-QN-0965)。
关键词 人工智能 语音随访系统 电话随访 乳腺癌 日间手术 延续护理 Artificial Intelligence Voice Follow-up System Telephone Follow-up Breast Cancer Day Surgery Continuing Nursing
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