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Learning From the Crowd in Terminology Mapping: The LOINC Experience.

Brian E Dixon1, John Hook2, Daniel J Vreeman3

  • 1Richard M. Fairbanks School of Public Health at Indiana University-Purdue University Indianapolis, Regenstrief Institute, Inc., and Center for Health Information and Communication, Department of Veterans Affairs, Veterans Health Administration, Health Services Research and Development Service, Indianapolis, IN bedixon@iupui.edu.

Laboratory Medicine
|April 29, 2015
PubMed
Summary

This study introduces a new tool to improve electronic health record data exchange by sharing existing mappings between local terms and standard vocabularies like Logical Observation Identifiers Names and Codes (LOINC). This crowdsourced approach enhances mapping efficiency and effectiveness for healthcare organizations.

Keywords:
clinical laboratory information systemscontrolled vocabularycrowdsourcingelectronic health recordshealth information exchangelogical observation identifiers names and codes

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