| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6927644 | Journal of Biomedical Informatics | 2016 | 4 Pages |
Abstract
Electronic medical records (EMR) represent a convenient source of coded medical data, but disease patterns found in EMRs may be biased when compared to surveys based on sampling. In this communication we draw attention to complications that arise when using EMR data to calculate disease prevalence, incidence, age of onset, and disease comorbidity. We review known solutions to these problems and identify challenges for future work.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Steven C. Bagley, Russ B. Altman,