Adams R Mark
Booz Allen Hamilton, Rockville, MD 20852, USA.
Urol Oncol. 2007 Jul-Aug;25(4):330-2. doi: 10.1016/j.urolonc.2007.05.003.
As clinical trials continue to expand and evolve to include a wider range of collected information, the amount and variety of information available to clinical researchers has concurrently grown. This article describes a range of means to address this complexity and to accommodate the collection, storage, and integration of this information based on current approaches in biomedical informatics. By reviewing these current approaches, and drawing examples from actual practice within the clinical informatics community, a range of potential solutions and their potential impacts are discussed.
随着临床试验不断扩展和演进,纳入更广泛的收集信息,临床研究人员可获得的信息量和种类也相应增加。本文描述了一系列方法,以应对这种复杂性,并根据生物医学信息学的当前方法来适应这些信息的收集、存储和整合。通过回顾这些当前方法,并从临床信息学领域的实际实践中举例,讨论了一系列潜在解决方案及其潜在影响。