Computing disease incidence, prevalence and comorbidity from electronic medical records.
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.
['Bagley|Steven C|SC|', 'Altman|Russ B|RB|']
D003142:Communication D015897:Comorbidity D057286:Electronic Health Records D004813:Epidemiology D006801:Humans D015994:Incidence D015995:Prevalence
Incidence Prevalence Comorbidity Electronic medical records Bias