Department of Medicine, University of Zurich, Zurich, Switzerland.
Department of Dermatology, University Hospital Zurich, Zurich, Switzerland.
Dermatology. 2021;237(5):712-718. doi: 10.1159/000511706. Epub 2021 Mar 19.
The use of digital health resources is growing quickly as they are easily accessible and permit self-evaluation. Yet, research on consumer health informatics platforms is insufficient. Chatbots, interactive conversational platforms based on artificial intelligence, can facilitate access to specific information. Hidradenitis suppurativa (HS) is burdensome and has a high threshold for consultation.
We aimed to identify the most important principles for the assembly of medical chatbots through the analysis of usage data.
The HS Chatbot
239 users were alleged patients. 82.9% were looking for a tentative diagnosis. The users were on average 32.49 (±11.33) years old and predominantly female (70.2%). The average number of clicks per visit on the website was 14.69 (±8.83).
A medical chatbot has to be customised to the specific subject whilst general principles have to be considered. High-quality information has to be available in just a few clicks. People concerned about HS are looking for a diagnosis online and often have not seen a doctor previously. Guidance towards appropriate care should be provided.
数字健康资源因其易于获取且允许自我评估而迅速普及。然而,消费者健康信息学平台的研究还不够充分。聊天机器人是一种基于人工智能的交互式对话平台,可以方便地获取特定信息。化脓性汗腺炎(HS)负担沉重,咨询门槛高。
通过分析使用数据,确定组装医疗聊天机器人最重要的原则。
HS 聊天机器人
239 名用户被指为患者。82.9%的用户在寻求初步诊断。用户平均年龄为 32.49(±11.33)岁,女性居多(70.2%)。每次访问网站的平均点击次数为 14.69(±8.83)次。
医疗聊天机器人必须针对特定主题进行定制,同时必须考虑一般原则。高质量的信息必须只需点击几下即可获得。关注化脓性汗腺炎的人在网上寻求诊断,而且往往之前没有看过医生。应该提供适当护理的指导。