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Transforming electronic health record polysomnographic data into the Observational Medical Outcome Partnership's Common Data Model: a pilot feasibility study

Well-defined large-volume polysomnographic (PSG) data can identify subgroups and predict outcomes of obstructive sleep apnea (OSA). However, current PSG data are scattered across numerous sleep laboratories and have different formats in the electronic health record (EHR). Hence, this study aimed to...

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Detalhes bibliográficos
Publicado no:Sci Rep
Main Authors: Kim, Jeong-Whun, Kim, Seok, Ryu, Borim, Song, Wongeun, Lee, Ho-Young, Yoo, Sooyoung
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Publishing Group UK 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8007756/
https://ncbi.nlm.nih.gov/pubmed/33782494
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-021-86564-w
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