Reducing Clinical Noise for Body Mass Index Measures Due to Unit and Transcription Errors in the Electronic Health Record

Body mass index (BMI) is an important outcome and covariate adjustment for many clinical association studies. Accurate assessment of BMI, therefore, is a critical part of many study designs. Electronic health records (EHRs) are a growing source of clinical data for research purposes, and have proven...

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Detalles Bibliográficos
Autores principales: Goodloe, Robert, Farber-Eger, Eric, Boston, Jonathan, Crawford, Dana C., Bush, William S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Medical Informatics Association 2017
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543370/
https://www.ncbi.nlm.nih.gov/pubmed/28815116

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5543370/
https://www.ncbi.nlm.nih.gov/pubmed/28815116

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