Evaluating the informatics for integrating biology and the bedside system for clinical research

Update item information
Publication Type pre-print
School or College School of Medicine
Department Biomedical Informatics
Creator Mitchell, Joyce A.
Other Author Deshmukh, Vikrant G.; Meystre, Stéphane M.
Title Evaluating the informatics for integrating biology and the bedside system for clinical research
Date 2009-01-01
Description Background: Selecting patient cohorts is a critical, iterative, and often time-consuming aspect of studies involving human subjects; informatics tools for helping streamline the process have been identified as important infrastructure components for enabling clinical and translational research. We describe the evaluation of a free and open source cohort selection tool from the Informatics for Integrating Biology and the Bedside (i2b2) group: the i2b2 hive. Methods: Our evaluation included the usability and functionality of the i2b2 hive using several real world examples of research data requests received electronically at the University of Utah Health Sciences Center between 2006 - 2008. The hive server component and the visual query tool application were evaluated for their suitability as a cohort selection tool on the basis of the types of data elements requested, as well as the effort required to fulfill each research data request using the i2b2 hive alone. Results: We found the i2b2 hive to be suitable for obtaining estimates of cohort sizes and generating research cohorts based on simple inclusion/exclusion criteria, which consisted of about 44% of the clinical research data requests sampled at our institution. Data requests that relied on post-coordinated clinical concepts, aggregate values of clinical findings, or temporal conditions in their inclusion/exclusion criteria could not be fulfilled using the i2b2 hive alone, and required one or more intermediate data steps in the form of pre-or post-processing, modifications to the hive metadata, etc. Conclusion: The i2b2 hive was found to be a useful cohort-selection tool for fulfilling common types of requests for research data, and especially in the estimation of initial cohort sizes. For another institution that might want to use the i2b2 hive for clinical research, we recommend that the institution would need to have structured, coded clinical data and metadata available that can be transformed to fit the logical data models of the i2b2 hive, strategies for extracting relevant clinical data from source systems, and the ability to perform substantial pre- and post-processing of these data.
Type Text
Publisher BioMed Central
Volume 9:70
First Page 1
Last Page 12
Dissertation Institution University of Utah
Technical Report Number 0
Language eng
Bibliographic Citation Deshmukh, V. G., Meystre, S. M., & Mitchell, J. A. (2009). Evaluating the informatics for integrating biology and the bedside system for clinical research. BMC Med Res Methodol, 9:70, 1 of 12.
Rights Management (c) Joyce A. Mitchell ; Creative Commons Attribution License http://creativecommons.org/licenses/by/2.0/
Format Medium application/pdf
Format Extent 952,252 bytes
Identifier uspace,17846
ARK ark:/87278/s6hx1xfv
Setname ir_uspace
Date Created 2012-10-22
Date Modified 2021-05-06
ID 708178
Reference URL https://collections.lib.utah.edu/ark:/87278/s6hx1xfv
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