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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Detalles Bibliográficos
Autores principales: Kim, Jeong-Whun, Kim, Seok, Ryu, Borim, Song, Wongeun, Lee, Ho-Young, Yoo, Sooyoung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007756/
https://www.ncbi.nlm.nih.gov/pubmed/33782494
http://dx.doi.org/10.1038/s41598-021-86564-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8007756/
https://www.ncbi.nlm.nih.gov/pubmed/33782494
http://dx.doi.org/10.1038/s41598-021-86564-w

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