Velos, Inc, Fremont, CA 94539, USA.
Cancer J. 2011 Jul-Aug;17(4):239-45. doi: 10.1097/PPO.0b013e31822c27b5.
The informatics landscape of clinical trials in oncology has changed significantly in the last 10 years. The current state of the infrastructure for clinical trial management, execution, and data management is reviewed. The systems, their functionality, the users, and the standards available to researchers are discussed from the perspective of the oncologist-researcher. Challenges in complexity and in the processing of information are outlined. These challenges include the lack of communication and information-interchange between systems, the lack of simplified standards, and the lack of implementation and adherence to the standards that are available. The clinical toxicology criteria from the National Cancer Institute (CTCAE) are cited as a successful standard in oncology, and HTTP on the Internet is referenced for its simplicity. Differences in the management of information standards between industries are discussed. Possible future advances in oncology clinical research informatics are addressed. These advances include strategic policy review of standards and the implementation of actions to make standards free, ubiquitous, simple, and easily interpretable; the need to change from a local data-capture- or transaction-driven model to a large-scale data-interpretation model that provides higher value to the oncologist and the patient; and the need for information technology investment in a readily available digital educational model for clinical research in oncology that is customizable for individual studies. These new approaches, with changes in information delivery to mobile platforms, will set the stage for the next decade in clinical research informatics.
在过去的 10 年中,肿瘤学临床试验的信息学领域发生了重大变化。本文回顾了临床试验管理、执行和数据管理的基础设施现状。从肿瘤学家研究人员的角度讨论了系统、功能、用户以及可用于研究人员的标准。概述了在复杂性和信息处理方面面临的挑战。这些挑战包括系统之间缺乏沟通和信息交换、缺乏简化的标准以及缺乏实施和遵守现有标准。引用了美国国立癌症研究所(NCI)的临床毒理学标准(CTCAE)作为肿瘤学领域的成功标准,并参考了互联网上的 HTTP 因其简单性。还讨论了不同行业在信息标准管理方面的差异。探讨了肿瘤学临床研究信息学未来可能的进展。这些进展包括对标准进行战略政策审查,并采取行动使标准免费、普及、简单且易于解释;需要从本地数据捕获或事务驱动模型转变为大规模数据解释模型,为肿瘤学家和患者提供更高的价值;以及需要对肿瘤学临床研究的现成数字教育模型进行信息技术投资,以便为个别研究提供定制。这些新方法以及向移动平台传递信息的变化,将为未来十年的临床研究信息学奠定基础。