眼镜成像挑战,现状和通往互操作性的道路:一个HIMSS-SIIM企业成像社区白皮书
Kerry E Goetz1, Michael V Boland2, Zhongdi Chu3
1Office of Data Science and Health Informatics, National Eye Institute, National Institute of Health, Bethesda, MD, USA. kerry.goetz@nih.gov.
Journal of imaging informatics in medicine
|October 1, 2024
概括
眼镜成像和人工智能提供了快速的眼睛疾病诊断. 然而,互操作性挑战阻碍了广泛的临床采用,特别是在较小的眼科诊所,影响了患者的护理和合作.
科学领域:
- 眼科医生 眼科 眼科
- 医疗成像医学成像
- 医疗保健中的人工智能
背景情况:
- 基于办公室的眼部成像是评估眼睛结构和功能的标准.
- 影像和人工智能的进步为快速诊断眼部疾病提供了机会.
- 目前的临床工作流程往往缺乏整合,特别是在较小的实践中.
研究的目的:
- 描述眼镜成像的当前状态.
- 确定互操作性,报告和临床工作流程中的挑战.
- 为突出优化眼科护理机构患者护理的障碍.
主要方法:
- 审查基于办公室的眼部成像现行实践.
- 对大型机构与小型诊所采用数字化工作流的分析.
- 检查医疗保健中的互操作性问题,特别是在眼科护理领域.
主要成果:
- 大型机构利用集成的数字工作流 (EHR,成像档案,诊断观看器).
- 小规模和独立的眼科诊所在采用这些先进的数字工作流程方面落后.
- 分散的互操作性实践阻碍了医疗保健提供者之间无的数据共享和协作.
结论:
- 互操作性,报告和工作流的低效率是眼镜成像中的关键挑战.
- 解决这些问题对于改善临床实践和患者在眼科护理方面的结果至关重要.
- 加强合作是必不可少的,鉴于眼科专业护理中心的稀缺性.
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