Regenstrief LOINC Mapping Assistant (RELMA) which assists a user with the mapping of local test codes to LOINC codes by returning a limited number of likely matches. Updates to the search pages included an optional search terms page and a query for unrecognizable terms which asked the user for additional information about the observation for clarification. In 2003 the LOINC database contained 30,000 observation records and was being used internationally in Switzerland, Hong Kong, Australia, Germany, and Canada as well as in some of the largest medical centers in the United States such as Partners Health-Care of Boston, Intermountain Health Care, Kaiser Foundation Health Plan, all major hospitals in Indianapolis,the Center for Disease Control and the Department of Veterans Affairs.. (McDonlad et al, 2003)
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(2006) describe their success in mapping local terms from five Indian Health Service medical facilities in a collaborative effort between the IHS and the Center for Disease Control and Prevention using the Regenstrief LOINC Mapping Assistant. The researcher compared the automated mapping tool with results obtained through a manual mapping experience. After extracting all of the active test names, synonyms, and units of measure from each of the facilities, the team was able to map 63%-76% of the local test codes using the RELMA mapping tool and they were able to map 11%-27% of the local test codes manually with most mapping failures due to incomplete information about the test such as missing or incomplete units of measure. (Khan et al., 2006). Mapping with LOINC allowed the IHS medical facilities to aggregate data for laboratory results for more than six of its sites allowing IHS to develop disease-related taxonomies for data analysis and disease surveillance. (Kahn, 2006) One of the most significant contributors to failed mappings was incomplete or missing information within the local test
(2006) describe their success in mapping local terms from five Indian Health Service medical facilities in a collaborative effort between the IHS and the Center for Disease Control and Prevention using the Regenstrief LOINC Mapping Assistant. The researcher compared the automated mapping tool with results obtained through a manual mapping experience. After extracting all of the active test names, synonyms, and units of measure from each of the facilities, the team was able to map 63%-76% of the local test codes using the RELMA mapping tool and they were able to map 11%-27% of the local test codes manually with most mapping failures due to incomplete information about the test such as missing or incomplete units of measure. (Khan et al., 2006). Mapping with LOINC allowed the IHS medical facilities to aggregate data for laboratory results for more than six of its sites allowing IHS to develop disease-related taxonomies for data analysis and disease surveillance. (Kahn, 2006) One of the most significant contributors to failed mappings was incomplete or missing information within the local test