Scanzera Angelica C, Beversluis Cameron, Potharazu Archit V, Bai Patricia, Leifer Ariel, Cole Emily, Du David Yuzhou, Musick Hugh, Chan R V Paul
Department of Ophthalmology and Visual Sciences, Illinois Eye and Ear Infirmary, University of Illinois Chicago, Chicago, IL, United States.
Institute for Healthcare Delivery Design, Office of Population Health Sciences, University of Illinois Chicago, Chicago, IL, United States.
Front Med (Lausanne). 2023 Jul 7;10:1198228. doi: 10.3389/fmed.2023.1198228. eCollection 2023.
Diabetic retinopathy (DR) is a leading cause of vision loss in the United States and throughout the world. With early detection and treatment, sight-threatening sequelae from DR can be prevented. Although artificial intelligence (AI) based DR screening programs have been proven to be effective in identifying patients at high risk of vision loss, adoption of AI in clinical practice has been slow. We adapted the United Kingdom Design Council's Double-Diamond model to design a strategy for care delivery which integrates an AI-based screening program for DR into a primary care setting. Methods from human-centered design were used to develop a strategy for implementation informed by context-specific barriers and facilitators. The purpose of this community case study is to present findings from this work in progress, including a system of protocols, educational documents and workflows created using key stakeholder input.
糖尿病性视网膜病变（DR）是美国乃至全球视力丧失的主要原因。通过早期检测和治疗，可以预防DR导致的视力威胁性后遗症。尽管基于人工智能（AI）的DR筛查项目已被证明在识别有高视力丧失风险的患者方面有效，但AI在临床实践中的应用一直很缓慢。我们采用了英国设计委员会的双钻石模型来设计一种护理提供策略，该策略将基于AI的DR筛查项目整合到初级护理环境中。以用户为中心的设计方法被用于制定一项实施策略，该策略由特定背景下的障碍和促进因素提供信息。本社区案例研究的目的是展示这项正在进行的工作的结果，包括使用关键利益相关者的意见创建的一套协议、教育文件和工作流程。
