AMIA Annu Symp Proc - Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.

Tópicos

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Resumo

Condition-specific registries are essential resources for supporting epidemiological, quality improvement, and clinical trial studies. The identification of potentially eligible patients for a given registry often involves a manual process or use of ad hoc software tools. With the increased availability of electronic health data, such as within Electronic Health Record (EHR) systems, there is potential to develop healthcare standards based approaches for interacting with these data. Arden Syntax, which has traditionally been used to represent medical knowledge for clinical decision support, is one such standard that may be adapted for the purpose of registry eligibility determination. In this feasibility study, Arden Syntax was explored for its ability to represent eligibility criteria for a registry of very low birth weight neonates. The promising performance (100% recall; 97% precision) of the Arden Syntax approach at a single institution suggests that a standards-based methodology could be used to robustly identify registry-eligible patients from EHRs.

Resumo Limpo

conditionspecif registri essenti resourc support epidemiolog qualiti improv clinic trial studi identif potenti elig patient given registri often involv manual process use ad hoc softwar tool increas avail electron health data within electron health record ehr system potenti develop healthcar standard base approach interact data arden syntax tradit use repres medic knowledg clinic decis support one standard may adapt purpos registri elig determin feasibl studi arden syntax explor abil repres elig criteria registri low birth weight neonat promis perform recal precis arden syntax approach singl institut suggest standardsbas methodolog use robust identifi registryelig patient ehr

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