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

Abstract 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...

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Autores principales: Jeong-Whun Kim, Seok Kim, Borim Ryu, Wongeun Song, Ho-Young Lee, Sooyoung Yoo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/fb9dd1478b724f68922232830a14aa88
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