Title:
Standardizing Clinical Laboratory Data For Secondary Use.
Author(s):
Abhyankar S, Demner-Fushman D, McDonald CJ.
Institution(s):
1) Lister Hill National Center for Biomedical Communications, National Library of Medicine, 8600 Rockville Pike, Building 38A/7N707, Bethesda, MD 20894, USA
Source:
Journal of Biomedical Informatics. August 2012;45(4):642-650.
Abstract:
Clinical databases provide a rich source of data for answering clinical research questions. However, the
variables recorded in clinical data systems are often identified by local, idiosyncratic, and sometimes
redundant and/or ambiguous names (or codes) rather than unique, well-organized codes from standard
code systems. This reality discourages research use of such databases, because researchers must invest
considerable time in cleaning up the data before they can ask their first research question. Researchers
at MIT developed MIMIC-II, a nearly complete collection of clinical data about intensive care patients.
Because its data are drawn from existing clinical systems, it has many of the problems described above.
In collaboration with the MIT researchers, we have begun a process of cleaning up the data and mapping
the variable names and codes to LOINC codes. Our first step, which we describe here, was to map all of the
laboratory test observations to LOINC codes. We were able to map 87% of the unique laboratory tests that
cover 94% of the total number of laboratory tests results. Of the 13% of tests that we could not map, nearly
60% were due to test names whose real meaning could not be discerned and 29% represented tests that
were not yet included in the LOINC table. These results suggest that LOINC codes cover most of laboratory
tests used in critical care. We have delivered this work to the MIMIC-II researchers, who have included it
in their standard MIMIC-II database release so that researchers who use this database in the future will
not have to do this work.
Publication Type: JOURNAL
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