数字病理:向数字时代过渡的障碍
Neil Biswas1, Holly Berg2, Sanjay K Shukla3
1Department of Pathology and Laboratory Medicine, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA.
Digital health
|February 16, 2026
概括
数字病理学 (DP) 将物理幻灯片转换为数字格式,使人工智能分析成为可能. 然而,工作流程,监管和财务障碍限制了其临床采用,尽管潜在的好处.
科学领域:
- 病理学 病理学 病理学
- 医疗信息学 医疗信息学
- 数字健康数字健康
背景情况:
- 数字病理学 (DP) 涉及将组织学幻灯片数字化,以改善数据管理和人工智能应用.
- 尽管有潜力,DP的临床采用仍然有限.
- 了解障碍对于更广泛的实施至关重要.
研究的目的:
- 探索工作流程,监管和金融障碍,以实现数字病理的实施.
- 分析早期采用者克服这些挑战的经验.
- 提供DP采用的关键考虑因素的概述.
主要方法:
- 从早期数字病理学采用者发表的经验的文献综述.
- 分析常见的工作流程,监管和财务挑战.
- 检查成本效益,数据管理和人工智能集成方面的问题.
主要成果:
- 确定了重要的工作流失效率和监管障碍作为主要障碍.
- 成本效益分析和数据管理策略对于成功实施至关重要.
- 人工智能整合提供了机遇和挑战.
结论:
- 解决工作流程,监管和财务障碍对于增加数字病理学采用至关重要.
- 数据管理和人工智能集成的战略规划是关键.
- 需要进一步的研究和标准化,以促进广泛的临床使用.
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