TY - JOUR
T1 - Synergies and Distinctions between Computational Disciplines in Biomedical Research
T2 - Perspective from the Clinical and Translational Science Award Programs
AU - Bernstam, Elmer V.
AU - Hersh, William R.
AU - Johnson, Stephen B.
AU - Chute, Christopher G.
AU - Nguyen, Hien
AU - Sim, Ida
AU - Nahm, Meredith
AU - Weiner, Mark G.
AU - Miller, Perry
AU - DiLaura, Robert P.
AU - Overcash, Marc
AU - Lehmann, Harold P.
AU - Eichmann, David
AU - Athey, Brian D.
AU - Scheuermann, Richard H.
AU - Anderson, Nick
AU - Starren, Justin
AU - Harris, Paul A.
AU - Smith, Jack W.
AU - Barbour, Ed
AU - Silverstein, Jonathan C.
AU - Krusch, David A.
AU - Nagarajan, Rakesh
AU - Becich, Michael J.
PY - 2009/7
Y1 - 2009/7
N2 - 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.
AB - 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.
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U2 - 10.1097/ACM.0b013e3181a8144d
DO - 10.1097/ACM.0b013e3181a8144d
M3 - Review article
C2 - 19550198
AN - SCOPUS:67649830195
SN - 1040-2446
VL - 84
SP - 964
EP - 970
JO - Academic Medicine
JF - Academic Medicine
IS - 7
ER -