Data availability is surpassing existing paradigms for governing,
managing, analyzing, and interpreting health data. Big Data and Health
Analytics provides frameworks, use cases, and examples that illustrate
the role of big data and analytics in modern health care, including how
public health information can inform health delivery.
Written for health care professionals and executives, this is not a
technical book on the use of statistics and machine-learning algorithms
for extracting knowledge out of data, nor a book on the intricacies of
database design. Instead, this book presents the current thinking of
academic and industry researchers and leaders from around the world.
Using non-technical language, this book is accessible to health care
professionals who might not have an IT and analytics background. It
includes case studies that illustrate the business processes underlying
the use of big data and health analytics to improve health care
delivery.
Highlighting lessons learned from the case studies, the book supplies
readers with the foundation required for further specialized study in
health analytics and data management. Coverage includes community health
information, information visualization which offers interactive
environments and analytic processes that support exploration of EHR
data, the governance structure required to enable data analytics and
use, federal regulations and the constraints they place on analytics,
and information security.
Links to websites, videos, articles, and other online content that
expand and support the primary learning objectives for each major
section of the book are also included to help you develop the skills you
will need to achieve quality improvements in health care delivery
through the effective use of data and analytics.
