Vision 20/20: Automation and advanced computing in clinical radiation oncology
Vision 20/20: Automation and advanced computing in clinical radiation oncology
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DOI：
10.1118/1.4842515
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发表时间：
2014-01-01
期刊：
影响因子：
3.8
通讯作者：
Mutic, Sasa
中科院分区：
文献类型：
--
作者：
Moore, Kevin L.;Kagadis, George C.;Mutic, Sasa
这篇Vision 20/20论文考虑了未来几年可能在临床放射肿瘤学中实现的计算进步，以及这些变化的采用可能如何改变放射治疗的实践。四个主要领域可能的进步进行了探讨：云计算，聚合数据分析，并行计算和自动化。由于这些发展为临床医生和患者带来了新的机遇和新的风险，因此将潜在的好处与与每项进步相关的危险进行权衡，并特别考虑新计算平台和方法下的患者安全性。虽然对患者安全的担忧是合理的，但作者认为，下一代临床信息学系统的进展将在质量改进计划、临床效率、结果分析、数据共享和自适应放射治疗方面带来极其有价值的发展。(C)2014年美国医学物理学家协会。
This Vision 20/20 paper considers what computational advances are likely to be implemented in clinical radiation oncology in the coming years and how the adoption of these changes might alter the practice of radiotherapy. Four main areas of likely advancement are explored: cloud computing, aggregate data analyses, parallel computation, and automation. As these developments promise both new opportunities and new risks to clinicians and patients alike, the potential benefits are weighed against the hazards associated with each advance, with special considerations regarding patient safety under new computational platforms and methodologies. While the concerns of patient safety are legitimate, the authors contend that progress toward next-generation clinical informatics systems will bring about extremely valuable developments in quality improvement initiatives, clinical efficiency, outcomes analyses, data sharing, and adaptive radiotherapy. (C) 2014 American Association of Physicists in Medicine.