Assembling and Analyzing Cohorts from Electronic Health Records: An Example from the NICU
Electronic health records (EHR) contain a wealth of information potentially useful for public health research, and can be used to assemble retrospective cohorts for epidemiological analyses. This presentation demonstrates the experience of the Neonatology Division of the Department of Pediatrics to create a research dataset from the neonatal intensive care unit (NICU) EHR. We then examined yearly trends in the incidence of late onset sepsis, and its association with a high NICU census.
Neal D. Goldstein is a PhD-trained epidemiologist with academic and industry experience working with large data sources. His research spans several disciplines including vaccine-preventable infectious diseases, maternal and child health, and advanced epidemiological modeling. He also possesses a background in biomedical informatics with detailed knowledge of hardware and software in the healthcare domain. Most recently, he has focused on translational epidemiology, or moving from knowledge generation to application and advocacy.
The Innovative Discoveries Series, sponsored by the Delaware Clinical & Translational Science ACCEL program and the Christiana Care Value Institute, features informal presentations on topics relevant to current research and healthcare practice, led by knowledgeable and experienced presenters. There are offerings for researchers, healthcare providers, and community members of varying levels of experience.
These free talks are held Fridays at noon at Christiana Hospital but can be viewed from your home or office computer. Earn CMEs by participating in-person or online. Lunch is served and all are welcome to attend.
To see the full calendar of events, visit the Value Institute Events page or the ACCEL website, or subscribe to the ID Series mailing list.
Contact Sarahfaye Dolman at sarahfaye.f.dolman@christianacare.org with any questions.