人工智能语音系统在日间手术患者术后随访中的应用

Application of artificial intelligence phonetic system in postoperative follow-up of day surgery patients

目的探索人工智能在日间手术患者术后随访中的应用,以建立智慧医疗框架,推进医院智能化进程,提升日间手术管理水平。方法上海交通大学医学院附属仁济医院日间手术管理中心人工智能语音助手从2018年6月1日正式上线,采用基于语音、语义识别技术的人工智能语音系统,对接院内信息中心数据,开展日间手术患者术后随访工作。2018年6月1日—11月30日共2 245例日间手术患者通过智能语音系统回访(AI随访组),2018年1月2日—5月31日共2 576例日间手术患者通过人工电话随访信息(人工随访组)。对两组电话接通率、信息采集率和通话时长进行比较。结果 AI随访组与人工随访组电话接通率分别为85.70%和86.68%,信息采集率分别为98.86%和98.48%,差异均无统计学意义(P>0.05);AI随访组与人工随访组通话时长分别为(165.48±43.28)、(135.37±36.31)s,差异有统计学意义(P<0.05)。结论人工智能语音系统在日间手术中应用,其接通率和信息采集完整性上都有较好的表现。将其运用到日间手术管理中,对于提升效率、延伸医疗服务、加强医疗安全有着积极的作用。

Objective To explore the application of artificial intelligence in postoperative follow-up of day surgery patients, so as to establish an intelligent medical framework, promote the intelligent process of hospitals, and improve the management level of day surgery. Methods The artificial intelligence phonetic system was carried out by the Day Surgery Center, Renji Hospital, Shanghai Jiaotong University School of Medicine on June 1 st, 2018. Through the system, the artificial intelligence voice system based on speech and semantic recognition technology was adopted to connect the data of the information center in the hospital to carry out postoperative follow-up of day surgery patients. We selected the 2 245 patients followed up by the artificial intelligence phonetic system from June 1 st to November 30 th 2018(the AI follow-up group) and the 2 576 patients followed up by the traditional manual method from January 2 nd to May31 st 2018(the manual follow-up group), to compare the telephone connection rate, information collection rate, and call duration between them. Results There was no statistically significant difference in telephone connection rate(85.70% vs.86.68%) or information collection rate(98.86% vs. 98.48%) between the AI follow-up group and the manual follow-up group(P>0.05);but there was a statistically significant difference in call duration between the AI follow-up group and the manual follow-up group [(165.48±43.28) vs.(135.37±36.31) seconds, P<0.05], and the AI follow-up group had a longer call duration. Conclusions The application of artificial intelligence phonetic system in surgery has a good performance in call connection rate and information collection integrity. It plays an active role in improving efficiency, extending medical services and strengthening medical safety in the management of day surgery.