Voelskow Vanessa, Meßner Claudia, Kurth Tobias, Busam Amelie, Glatz Toivo, Ebert Natalie
Institute of Public Health at Charité - Universitätsmedizin Berlin, Berlin, Germany.
Digit Health. 2023 Jun 7;9:20552076231180677. doi: 10.1177/20552076231180677. eCollection 2023 Jan-Dec.
During the COVID-19 pandemic, telephone hotlines of local health authorities in Germany were overloaded due to information requests by the public.
Evaluating the use of a COVID-19-specific voicebot (CovBot) in local health authorities in Germany during the COVID-19 pandemic. This study investigates the performance of the CovBot by assessing a perceptible relief of staff in the hotline service.
This prospective mixed-methods study enrolled local health authorities in Germany from 01 February 2021 to 11 February 2022 to deploy the CovBot, which was mainly designed to answer frequently asked questions. To capture the user perspective and acceptance, we performed semistructured interviews and online surveys with their staff, conducted an online survey among callers, and analyzed the performance metrics of the CovBot.
The CovBot was implemented in 20 local health authorities serving 6.1 million German citizens and processed almost 1.2 million calls during the study period. The overall assessment was that the CovBot contributed to a perceived relief of the hotline service. In a survey among callers, 79% indicated that a voicebot could not replace a human. The analyzed anonymous metadata revealed that 15% of calls hung up immediately, 32% after hearing an FAQ answer, and 51% of calls were forwarded to the local health authority offices.
A voicebot primarily answering FAQs can provide additional support to relieve the hotline service of local health authorities in Germany during the COVID-19 pandemic. For complex concerns, a forwarding option to a human proved to be an essential functionality.
在新冠疫情期间,德国地方卫生当局的电话热线因公众的信息请求而不堪重负。
评估新冠疫情期间德国地方卫生当局使用特定的新冠语音机器人(CovBot)的情况。本研究通过评估热线服务中工作人员明显减轻的负担来调查CovBot的性能。
这项前瞻性混合方法研究于2021年2月1日至2022年2月11日招募了德国的地方卫生当局来部署CovBot,该机器人主要用于回答常见问题。为了了解用户的观点和接受度,我们对其工作人员进行了半结构化访谈和在线调查,对来电者进行了在线调查,并分析了CovBot的性能指标。
CovBot在为610万德国公民服务的20个地方卫生当局中得到应用,在研究期间处理了近120万个电话。总体评估是,CovBot有助于明显减轻热线服务的负担。在对来电者的一项调查中,79%的人表示语音机器人无法取代人工。分析的匿名元数据显示,15%的电话立即挂断,32%的电话在听到常见问题答案后挂断,51%的电话被转接至地方卫生当局办公室。
一个主要回答常见问题的语音机器人可以提供额外支持,以减轻新冠疫情期间德国地方卫生当局热线服务的负担。对于复杂问题,转接人工服务被证明是一项必不可少的功能。