Goetz Kerry E, Boland Michael V, Chu Zhongdi, Reed Amberlynn A, Clark Shawn D, Towbin Alexander J, Purt Boonkit, O'Donnell Kevin, Bui Marilyn M, Eid Monief, Roth Christopher J, Luviano Damien M, Folio Les R
Office of Data Science and Health Informatics, National Eye Institute, National Institute of Health, Bethesda, MD, USA.
Massachusetts Eye and Ear, Harvard Medical School, Boston, MA, USA.
J Imaging Inform Med. 2025 Jun;38(3):1283-1290. doi: 10.1007/s10278-024-01261-0. Epub 2024 Oct 1.
Office-based testing, enhanced by advances in imaging technology, is routinely used in eye care to non-invasively assess ocular structure and function. This type of imaging coupled with autonomous artificial intelligence holds immense opportunity to diagnose eye diseases quickly. Despite the wide availability and use of ocular imaging, there are several factors that hinder optimization of clinical practice and patient care. While some large institutions have developed end-to-end digital workflows that utilize electronic health records, enterprise imaging archives, and dedicated diagnostic viewers, this experience has not yet made its way to smaller and independent eye clinics. Fractured interoperability practices impact patient care in all healthcare domains, including eye care where there is a scarcity of care centers, making collaboration essential among providers, specialists, and primary care who might be treating systemic conditions with profound impact on vision. The purpose of this white paper is to describe the current state of ocular imaging by focusing on the challenges related to interoperability, reporting, and clinical workflow.
借助成像技术的进步，基于办公室的检测在眼科护理中经常用于非侵入性评估眼部结构和功能。这种成像技术与自主人工智能相结合，为快速诊断眼部疾病提供了巨大机遇。尽管眼部成像已广泛可得且被使用，但仍有几个因素阻碍临床实践和患者护理的优化。虽然一些大型机构已开发出利用电子健康记录、企业成像档案和专用诊断查看器的端到端数字工作流程，但这种经验尚未惠及较小的独立眼科诊所。破碎的互操作性实践影响着所有医疗领域的患者护理，包括眼科护理，因为眼科护理中心稀缺，这使得提供者、专科医生和可能正在治疗对视力有深远影响的全身性疾病的初级保健医生之间的合作至关重要。本白皮书的目的是通过关注与互操作性、报告和临床工作流程相关的挑战来描述眼部成像的现状。
