Big
data is transforming the health care industry relative to improving
quality of care and reducing costs--key objectives for most
organizations. Employers are desperately searching for professionals who
have the ability to extract, analyze, and interpret data from patient
health records, insurance claims, financial records, and more to tell a
compelling and actionable story using health care data analytics.
The course begins with a study of key components of the U.S. health
care system as they relate to data and analytics. While we will be
looking through a U.S. lens, the topics will be familiar to global
learners, who will be invited to compare/contrast with their country's
system.
With that essential industry context, we'll explore the role of
health informatics and health information technology in evidence-based
medicine, population health, clinical process improvement, and consumer
health.
Using that as a foundation, we'll outline the components of a
successful data analytics program in health care, establishing a
"virtuous cycle" of data quality and standardization required for
clinical improvement and innovation.
The course culminates in a study of how visualizations harness data
to tell a powerful, actionable story. We'll build an awareness of
visualization tools and their features, as well as gain familiarity with
various analytic tools.
