Room 129 / SERRE Team : Patricia Serre, Christel Daniel, Marc Wysocki, Paule-Audrey Moungny, Sallah Kankoé
Abstract : The objective is to run ACHILLES, an open-source data profiling tool, on the OMOP-CDM based MIMIC data base in order to assess the quality of the transformed dataset.
Related work : You SC, Lee S, Cho SY, Park H, Jung S, Cho J, Yoon D, Park RW. Conversion of National Health Insurance Service-National Sample Cohort (NHIS-NSC) Database into Observational Medical Outcomes Partnership-Common Data Model (OMOP-CDM). Stud Health Technol Inform. 2017;245:467-470. PubMed PMID: 29295138.
Yoon D, Ahn EK, Park MY, Cho SY, Ryan P, Schuemie MJ, Shin D, Park H, Park RW. Conversion and Data Quality Assessment of Electronic Health Record Data at a Korean Tertiary Teaching Hospital to a Common Data Model for Distributed Network Research. Healthc Inform Res. 2016 Jan;22(1):54-8. doi: 10.4258/hir.2016.22.1.54. Epub 2016 Jan 31. PubMed PMID: 26893951; PubMed Central PMCID: PMC4756059.