Department of Epidemiology and Biostatistics (Mss H. Y. Mane, Yue, and Moats Drs He and Nguyen), Department of Behavioral and Community Health (Drs Doig, Jasczynski, and Aparicio and Ms Gutierrez), and Public Health Science Program (Ms Sun), University of Maryland School of Public Health, College Park, Maryland; Department of Computer Science, UMIACS (Ms Srikanth and Dr Boyd-Graber), College of Information Studies (Mr S. Mane), and Department of Biology (Mr Patel), University of Maryland, College Park, Maryland.
J Public Health Manag Pract. 2023;29(5):663-670. doi: 10.1097/PHH.0000000000001781.
Communities of color experience higher maternal and infant mortality, as well as a host of other adverse outcomes, during pregnancy and postpartum. To address this, our team is developing a free, user-friendly, question-answering chatbot called Rosie. Chatbots have gained significant popularity due to their scalability and success in individualizing resources. In recent years, scientific communities and researchers have started recognizing this technology's potential to inform communities, promote health outcomes, and address health disparities. The development of Rosie is an interdisciplinary project, with teams focused on the technical build of the application (app), the development of machine learning models, and community outreach, making Rosie a chatbot built with the input from the communities it aims to serve. From June to October 2022, more than 20 demonstration sessions were conducted in Washington, District of Columbia, Maryland, and Virginia, where a total of 109 pregnant women and new mothers of color could interact with Rosie. Results from the live demonstrations showed that 75% of mothers searched for maternity and baby-related information at least once a week and more than 90% of participants expressed the likelihood to use the app. Most of the participants inquired about their baby's development, nutrition for babies, and identifying and addressing the causes of certain symptoms and conditions, accounting for about 80% of the total questions asked. Mother-related questions in the community demonstrations were mainly about pregnancy. The high level of interest in the chatbot is a clear indication of the need for more resources. Rosie aims to help close the racial gap in maternal and infant health disparities by providing new mothers with easy access to reliable health information.
有色人种社区在怀孕和产后期间经历更高的孕产妇和婴儿死亡率,以及一系列其他不良结果。为了解决这个问题,我们的团队正在开发一个免费的、用户友好的问答聊天机器人,名为 Rosie。聊天机器人因其可扩展性和在个性化资源方面的成功而获得了广泛的关注。近年来,科学界和研究人员开始认识到这项技术在为社区提供信息、促进健康结果和解决健康差距方面的潜力。Rosie 的开发是一个跨学科的项目,团队专注于应用程序(app)的技术构建、机器学习模型的开发和社区拓展,使 Rosie 成为一个由其旨在服务的社区提供输入的聊天机器人。2022 年 6 月至 10 月,在哥伦比亚特区华盛顿、马里兰州和弗吉尼亚州进行了 20 多次演示,共有 109 名有色人种孕妇和新妈妈与 Rosie 互动。现场演示的结果表明,75%的母亲每周至少搜索一次与怀孕和育儿相关的信息,超过 90%的参与者表示有可能使用该应用程序。大多数参与者询问了他们的宝宝的发育情况、婴儿营养以及识别和解决某些症状和疾病的原因,占总问题的 80%左右。社区演示中的母亲相关问题主要是关于怀孕的。对聊天机器人的高度兴趣清楚地表明了对更多资源的需求。Rosie 的目标是通过为新妈妈提供便捷获取可靠健康信息的途径,帮助缩小母婴健康差距中的种族差距。
J Public Health Manag Pract.
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