临床诊断大规模实施:经验,挑战和经验教训
Blaise Clarke1, Charlotte Carment-Baker1,2, Christine Bruce1,2
1Laboratory Medicine Program, University Health Network, Toronto, Canada.
Critical reviews in clinical laboratory sciences
|September 4, 2025
概括
在大型医院网络中实施数字病理 (DP) 需要战略规划,技术和变革管理. 美国
科学领域:
- 数字病理的实施
- 医疗信息学
- 实验室医学
背景情况:
- 大规模的数字病理 (DP) 实施是复杂的,涉及战略规划,技术和变革管理.
- 加拿大第三级临床中心大学健康网络 (UHN) 进行了全面的DP实施.
研究的目的:
- 提供详细的UHNDP实施情况,包括经验教训,挑战和缓解策略.
- 为考虑采用DP的机构提供现实的路线图.
主要方法:
- 一个分阶段的实施方法:规划,采购,基础设施开发和验证.
- 专注于技术方面:互操作性,存储,图像质量和供应商中立性.
- 变更管理策略:培训,故障排除,超级用户和双重工作流 (玻璃/数字幻灯片).
主要成果:
- 所有组织病理学和组织病理学病例正在扫描; 数字液体病理学和细胞病理学正在进行中.
- 基础设施的初始投资很大,预计从效率和人工智能集成中获得长期节省.
- 建立了持续监测和反机制以进行绩效评估.
结论:
- UHN的经验强调了结构化,多学科的方法对于成功的DP实施的重要性.
- 实施提供实用指导,解决挑战,并强调持续评估和适应.
- 未来的应用包括人工智能工具,远程诊断和数据共享.
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