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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Veröffentlicht in:AMIA Jt Summits Transl Sci Proc
Hauptverfasser: Goodloe, Robert, Farber-Eger, Eric, Boston, Jonathan, Crawford, Dana C., Bush, William S.
Format: Artigo
Sprache:Inglês
Veröffentlicht: American Medical Informatics Association 2017
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Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC5543370/
https://ncbi.nlm.nih.gov/pubmed/28815116
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