Department of Pediatrics; Department of Anesthesiology
APACHE; Data Collection; Hospitals, University; Humans; *Intensive Care Units; Laboratory Techniques and Procedures; Logical Observation Identifiers Names and Codes; Severity of Illness Index
Anesthesiology | Life Sciences | Medicine and Health Sciences
OBJECTIVE: Mapping local use names to standardized nomenclatures such as LOINC (Logical Observation Identifiers Names and Codes) is a time-consuming task when done retrospectively or during the configuration of new information systems. The author sought to identify a subset of intensive care unit (ICU) laboratory tests, which, because of their frequency of use, should be the focus of efforts to standardize test names in ICU information systems.
DESIGN: The author reviewed the ordering practices in medical, surgical, and pediatric ICUs within a large university teaching hospital to identify the subset of laboratory tests that represented the majority of tests performed in these settings. The author compared the results of his findings with the laboratory tests required to complete several of the most frequently used ICU acuity scoring systems.
RESULTS: It was found that between 104 and 202 tests and profiles represented 99% of all testing in the three ICUs. All the laboratory studies needed for six commonly used ICU scoring systems fell into the top 21 laboratory studies and profiles performed in each ICU.
CONCLUSION: The author identified a small subset of the LOINC database that should be the focus of efforts to standardize test names in ICU information systems. Mapping this subset of laboratory tests and profiles to LOINC vocabulary will simplify the process of collecting data for large-scale databases such as ICU scoring systems and the configuration of new ICU information systems.
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Citation: J Am Med Inform Assoc. 2005 Mar-Apr;12(2):229-33. Epub 2004 Nov 23. Link to article on publisher's site
Frassica, Joseph J., "Frequency of laboratory test utilization in the intensive care unit and its implications for large-scale data collection efforts" (2005). Open Access Articles. Paper 642.