智能语音随访系统在先天性白内障患儿术后随访中的应用与分析OA
Application and analysis of artificial intelligence voice system in postoperative follow-up of children with congenital cataract
目的:探索智能语音随访系统在医疗场景中的新型应用服务模式并分析其在新冠肺炎疫情期间的应用效果,以此评估该系统应用于互联网医院开展医疗咨询服务的实际效能.方法:本研究应用智能语音随访系统针对先天性白内障患儿术后的常见问题进行回访.首先,针对随访目的,设计出完善的结构化随访内容与步骤.其次,部署智能外呼系统自动拨打用户电话,并通过语音识别技术对用户的每次应答进行识别,根据用户的应答自动跳转到下一个随访步骤,在完成一系列问答后根据用户的回答给出恰当的建议,实现电话随访的自动化与智能化.收集2020年2月24日至2月28日期间,智能语音随访系统随访的电话内容、呼叫时间、患儿资料等数据,采用描述性统计分析.结果:2020年2月24日至2月28日期间,中山大学中山眼科中心应用智能语音随访系统电话共随访1154例,其中收到有效回访数据561例,平均有效回访率48.6％.有效回访人群中,有204位(36.4％)家属认为疫情期间复诊时间延长,对宝宝眼睛的恢复有影响,309位(55.1％)家属认为对宝宝眼睛的恢复没有影响.360位(64.2％)先天性白内障患儿眼睛恢复情况良好,没有出现不良反应,169位(30.1％)患儿出现不良反应和体征,包括瞳孔区有白点,眼睛发红和有眼屎流眼泪等.统计患儿不同行为显示,有417位(74.3％)患儿佩戴眼镜,135位(24.1％)患儿没有佩戴眼镜,另有9位(1.6％)患儿佩戴眼镜情况不清楚,经常揉眼的患儿更容易出现眼睛发红(25.2%)、眼睛有眼屎或流眼泪(17.0％)和瞳孔区有白点(6.8％)等不良反应.结论:智能语音随访系统在临床随访中显示出巨大的应用潜力,可作为一种新型的智能医疗服务模式.
Objective: This study was designed to explore its potential value for new medical service model based on the intelligent voice follow-up system and analyze its application effect during the outbreak of COVID-19. The actual effectiveness of this intelligent voice follow-up system applied in the Internet hospital to carry out medical consultation service was discussed. Methods: In this study, an intelligent voice follow up system was developed for postoperative follow-up of children with congenital cataract. First, a well-designed and structured questionnaire contents were developed for postoperative follow-up. Secondly, the intelligent voice follow-up system was deployed. The system would automatically jump to the next follow-up step according to the user's response, and give appropriate suggestions. Finally, the data of telephone recording, call time, children's attributes were collected and statistically analyzed. Results: From February 24 to March 15, 2020, 561 families of children with congenital cataract from Zhongshan Ophthalmic Center were recruited by using the intelligent voice follow-up system. The system completed a total of 1 154 calls, of which 561 cases received follow-up data, reaching an average effective call rate of 48.6%. Among 561 cases, 204 (36.4%) thought that the extended time of follow-up visit would affect the recovery of children, while 309 (55.1%) thought that it exerted no effect on the recovery. 360 children (64.2%) achieved good ocular recovery without complications, whereas 169 cases (30.1%) developed ocular symptoms. These include white spots in the pupil area, redness and eye secretions. Statistics of different behavior of children showed that there were 417 (74.3%) children wearing glasses, 135 (24.1%) children did not wear glasses, another 9 (1.6%) children wearing glasses were not clear, often rubbing the eyes of children were more likely to appear redness (25.2%), eye secretions (17.0%) and white spots in the pupil area (6.8%) and other adverse reactions. Conclusion: The intelligent voice follow-up system shows great application potential in clinical follow-up, which can be employed as a new service mode of intelligent medical treatment.
林卓玲;陈伟蓉;林浩添;李强;项毅帆;陈睛晶;王琦玮;李静;吴向华;胡伟玲;黄运坚
中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学医学院,广州 510080中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060中山大学中山眼科中心,眼科学国家重点实验室,广州 510060
智能语音随访系统先天性白内障
intelligent voice interactionfollow-up systemcongenital cataract
《眼科学报》 2021 (1)
23-29,7
国家重点研发计划项目(2018YFC0116500)广东省重点领域研发计划项目(2018B010109008)广东省医学科研基金项目(A2020346)广州市重点实验室建设项目.
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