Secondary use of EHR data for correlated comorbidity prevalence estimate

Comorbidity is quite common in the medical practice. In this article we explore a way to use anonymized Electronic Health Records (EHR) data in order to derive correlations, evidence based likelihood of comorbidities manifestation within the EHR patients population. The ultimate goal is to present the information to the health care provider at the moment when a new diagnosis is entered for the patient, thus increasing health care provider´s attention to possible problems, even if they are at sub-clinical or asymptomatic stage.