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PS2-09: Combining Clinical Databases With the EHR to Identify a Study Population: An Example Using Acute Myocardial Infarction

By Jennifer A Sartorius, G Craig Wood and Kimberly Skelding

Abstract

Background/Aims: Study populations are commonly identified using a single data source. However, the inclusion criteria may result in an unacceptable level of false positives/negatives. The utilization of multiple sources may allow for more complex inclusion criteria, therefore improving the accuracy of identification of cases and controls for use in research. For this study, Geisinger’s electronic health record (EHR) was combined with clinical databases to identify a population of patients with suspected Acute Myocardial Infarction (AMI)

Topics: SELECTED ABSTRACTS - HMORN 2009: Cardiovascular Disease
Publisher: Marshfield Clinic
OAI identifier: oai:pubmedcentral.nih.gov:2842307
Provided by: PubMed Central
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