Utilizing Data in EMRs

3 Credits · Level: Graduate

The scientific utility of EHR derived “routine” clinical data generated as a byproduct of care delivery has been previously demonstrated, and there are no insurmountable technical challenges or barriers to achieving the effective use of this type of data for a national cohort of millions of individuals. This course is designed to introduce students to one of the major components of data collection, analysis and clinical decision support systems at the point of care: The electronic health record systems (EHR) and their use in care management, research, and analytics. The course is intended to familiarize students with data access across multiple data sources. This is a practical, hands on experience course that will introduce students to the variety of systems used in the clinic and the complex interactions and features that make up a modern clinical information system. Students will learn different aspects of EHR systems in both inpatient and outpatient clinical environments, and will focus on data extraction, exploring analytics and visualization capabilities and generating insights from the perspective of EHR. This is an introduction‐level course, designed to offer the most benefit to Health Data Scientists and offers a deep learning experience of EHR functionality.