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Literature DB >> 27498067

Computing disease incidence, prevalence and comorbidity from electronic medical records.

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.

Entities: Disease Species

Keywords: Bias; Comorbidity; Electronic medical records; Incidence; Prevalence

Mesh：

Year: 2016 PMID： 27498067 PMCID： PMC6642638 DOI： 10.1016/j.jbi.2016.08.005

Source DB: PubMed Journal: J Biomed Inform ISSN： 1532-0464 Impact factor: 6.317

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