Patient data is the backbone of healthcare analytics. Nearly every type of organization – be it a clinical data registry (CDR), an integrated delivery network (IDN), or a health information exchange (HIE) – touches and uses patient data every day.
Making clinical data useful, however, can be a challenge. As the volume of data and the number of data sources and systems grow, it takes more and more time and manpower to “clean” the information for each data-driven initiative.
In this on-demand webinar, our presenters investigate three use cases for patient data through the lens of three different types of healthcare organizations, exploring how data quality issues impact each scenario, and how properly normalized data can help in each instance.