Kap Code, Paris, France.
CNRS, PASSAGES, Bordeaux, France.
J Med Internet Res. 2020 Nov 10;22(11):e15185. doi: 10.2196/15185.
Seeking medical information can be an issue for physicians. In the specific context of medical practice, chatbots are hypothesized to present additional value for providing information quickly, particularly as far as drug risk minimization measures are concerned.
This qualitative study aimed to elicit physicians' perceptions of a pilot version of a chatbot used in the context of drug information and risk minimization measures.
General practitioners and specialists were recruited across France to participate in individual semistructured interviews. Interviews were recorded, transcribed, and analyzed using a horizontal thematic analysis approach.
Eight general practitioners and 2 specialists participated. The tone and ergonomics of the pilot version were appreciated by physicians. However, all participants emphasized the importance of getting exhaustive, trustworthy answers when interacting with a chatbot.
The chatbot was perceived as a useful and innovative tool that could easily be integrated into routine medical practice and could help health professionals when seeking information on drug and risk minimization measures.
对于医生来说，寻找医学信息可能是一个问题。在医疗实践的特定背景下，人们假设聊天机器人在快速提供信息方面具有额外的价值，特别是在药物风险最小化措施方面。
本定性研究旨在了解医生对用于药物信息和风险最小化措施的试点版聊天机器人的看法。
在法国各地招募全科医生和专科医生参与个人半结构化访谈。使用水平主题分析方法对访谈进行记录、转录和分析。
8 名全科医生和 2 名专科医生参与了研究。医生们对试点版的语气和人体工程学表示赞赏。然而，所有参与者都强调在与聊天机器人交互时获得详尽、值得信赖的答案的重要性。
聊天机器人被认为是一种有用且创新的工具，很容易集成到常规医疗实践中，并在寻找药物和风险最小化措施的信息时为卫生专业人员提供帮助。
