Bernstam Elmer V, Hersh William R, Johnson Stephen B, Chute Christopher G, Nguyen Hien, Sim Ida, Nahm Meredith, Weiner Mark G, Miller Perry, DiLaura Robert P, Overcash Marc, Lehmann Harold P, Eichmann David, Athey Brian D, Scheuermann Richard H, Anderson Nick, Starren Justin, Harris Paul A, Smith Jack W, Barbour Ed, Silverstein Jonathan C, Krusch David A, Nagarajan Rakesh, Becich Michael J
University of Texas Health Science Center at Houston, Texas 77030, USA.
Acad Med. 2009 Jul;84(7):964-70. doi: 10.1097/ACM.0b013e3181a8144d.
Clinical and translational research increasingly requires computation. Projects may involve multiple computationally oriented groups including information technology (IT) professionals, computer scientists, and biomedical informaticians. However, many biomedical researchers are not aware of the distinctions among these complementary groups, leading to confusion, delays, and suboptimal results. Although written from the perspective of Clinical and Translational Science Award (CTSA) programs within academic medical centers, this article addresses issues that extend beyond clinical and translational research. The authors describe the complementary but distinct roles of operational IT, research IT, computer science, and biomedical informatics using a clinical data warehouse as a running example. In general, IT professionals focus on technology. The authors distinguish between two types of IT groups within academic medical centers: central or administrative IT (supporting the administrative computing needs of large organizations) and research IT (supporting the computing needs of researchers). Computer scientists focus on general issues of computation such as designing faster computers or more efficient algorithms, rather than specific applications. In contrast, informaticians are concerned with data, information, and knowledge. Biomedical informaticians draw on a variety of tools, including but not limited to computers, to solve information problems in health care and biomedicine. The paper concludes with recommendations regarding administrative structures that can help to maximize the benefit of computation to biomedical research within academic health centers.
临床和转化研究对计算的需求日益增加。项目可能涉及多个以计算为导向的团队,包括信息技术(IT)专业人员、计算机科学家和生物医学信息学家。然而,许多生物医学研究人员并不清楚这些互补团队之间的区别,从而导致混乱、延误和不理想的结果。尽管本文是从学术医疗中心的临床和转化科学奖(CTSA)项目的角度撰写的,但它所讨论的问题超出了临床和转化研究的范畴。作者以临床数据仓库为例,描述了运营IT、研究IT、计算机科学和生物医学信息学互补但不同的角色。一般来说,IT专业人员专注于技术。作者区分了学术医疗中心内的两种IT团队:中央或行政IT(支持大型组织的行政计算需求)和研究IT(支持研究人员的计算需求)。计算机科学家专注于计算的一般问题,如设计更快的计算机或更高效的算法,而不是特定的应用。相比之下,信息学家关注数据、信息和知识。生物医学信息学家利用各种工具,包括但不限于计算机,来解决医疗保健和生物医学中的信息问题。本文最后提出了关于管理结构的建议,这些建议有助于在学术健康中心内使计算对生物医学研究的益处最大化。