AMIA Annu Symp Proc - Impact of selective mapping strategies on automated laboratory result notification to public health authorities.

Tópicos

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{ sampl(1606) size(1419) use(1276) }
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{ process(1125) use(805) approach(778) }
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{ method(2212) result(1239) propos(1039) }

Resumo

Automated electronic laboratory reporting (ELR) for public health has many potential advantages, but requires mapping local laboratory test codes to a standard vocabulary such as LOINC. Mapping only the most frequently reported tests provides one way to prioritize the effort and mitigate the resource burden. We evaluated the implications of selective mapping on ELR for public health by comparing reportable conditions from an operational ELR system with the codes in the LOINC Top 2000. Laboratory result codes in the LOINC Top 2000 accounted for 65.3% of the reportable condition volume. However, by also including the 129 most frequent LOINC codes that identified reportable conditions in our system but were not present in the LOINC Top 2000, this set would cover 98% of the reportable condition volume. Our study highlights the ways that our approach to implementing vocabulary standards impacts secondary data uses such as public health reporting.

Resumo Limpo

autom electron laboratori report elr public health mani potenti advantag requir map local laboratori test code standard vocabulari loinc map frequent report test provid one way priorit effort mitig resourc burden evalu implic select map elr public health compar report condit oper elr system code loinc top laboratori result code loinc top account report condit volum howev also includ frequent loinc code identifi report condit system present loinc top set cover report condit volum studi highlight way approach implement vocabulari standard impact secondari data use public health report

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