ElevateU, Irvine, CA 92617, USA.
Department of Emergency Medicine, University of California, Irvine, Orange, CA 92868, USA.
J Public Health (Oxf). 2023 Mar 14;45(1):189-192. doi: 10.1093/pubmed/fdac020.
Human Immunodeficiency Virus (HIV) continues to be a significant public health problem, with ~1.2 million Americans living with HIV and ~14% unaware of their infection. The Centers for Disease Control and Prevention recommends that patients 13 to 64 years of age get screened for HIV at least once, and those with higher risk profiles screen at least annually. Unfortunately, screening rates are below recommendations for high-risk populations, leading to problems of delayed diagnosis. Novel technologies have been applied in HIV research to increase prevention, testing and treatment. Conversational agents, with potential for integrating artificial intelligence and natural language processing, may offer an opportunity to improve outreach to these high-risk populations. The feasibility, accessibility and acceptance of using conversational agents for HIV testing outreach is important to evaluate, especially amidst a global coronavirus disease 2019 pandemic when clinical services have been drastically affected. This viewpoint explores the application of a conversational agent in increasing HIV testing among high-risk populations.
人类免疫缺陷病毒(HIV)仍然是一个重大的公共卫生问题,约有 120 万美国人感染了 HIV,其中约 14%的人不知道自己感染了 HIV。疾病控制和预防中心建议,年龄在 13 至 64 岁的患者至少应进行一次 HIV 筛查,而那些具有更高风险特征的患者至少应每年筛查一次。不幸的是,高危人群的筛查率低于建议水平,导致诊断延误的问题。新的技术已应用于 HIV 研究,以增加预防、检测和治疗。对话代理具有整合人工智能和自然语言处理的潜力,可能为改善对这些高危人群的宣传提供机会。评估使用对话代理进行 HIV 检测宣传的可行性、可及性和可接受性非常重要,尤其是在全球 2019 年冠状病毒病大流行期间,临床服务受到了严重影响。本观点探讨了在高危人群中使用对话代理来增加 HIV 检测的应用。