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- Title
Learning From the Crowd in Terminology Mapping: The LOINC Experience.
- Authors
Dixon, Brian E.; Hook, John; Vreeman, Daniel J.
- Abstract
National policies in the United States require the use of standard terminology for data exchange between clinical information systems. However, most electronic health record systems continue to use local and idiosyncratic ways of representing clinical observations. To improve mappings between local terms and standard vocabularies, we sought to make existing mappings (wisdom) from health care organizations (the Crowd) available to individuals engaged in mapping processes. We developed new functionality to display counts of local terms and organizations that had previously mapped to a given Logical Observation Identifiers Names and Codes (LOINC) code. Further, we enabled users to view the details of those mappings, including local term names and the organizations that create the mappings. Users also would have the capacity to contribute their local mappings to a shared mapping repository. In this article, we describe the new functionality and its availability to implementers who desire resources to make mapping more efficient and effective.
- Subjects
ELECTRONIC data interchange; INFORMATION storage &; retrieval systems; MEDICAL databases; PATHOLOGICAL laboratories; TERMS &; phrases; SOFTWARE architecture; ELECTRONIC health records; CROWDSOURCING; LOGICAL Observation Identifiers, Names &; Codes (Database)
- Publication
Laboratory Medicine, 2015, Vol 46, Issue 2, p168
- ISSN
0007-5027
- Publication type
Article
- DOI
10.1309/LMWJ730SVKTUBAOJ