Healthcare transformation requires us to continually look at new
and better ways to manage insights - both within and outside the
organization. Increasingly, the ability to glean and operationalize
new insights efficiently as a byproduct of an organization's
day-to-day operations is becoming vital for hospitals and health
systems to survive and prosper. One of the long-standing challenges
in healthcare informatics has been the ability to deal with the
sheer variety and volume of disparate healthcare data and the
increasing need to derive veracity and value out of it. This book
addresses several topics important to the understanding and use of
data in healthcare. First, it provides a formal explanation based
on epistemology (theory of knowledge) of what data actually is,
what we can know about it, and how we can reason with it. The
culture of data is also covered and where it fits into healthcare.
Then, data quality is addressed, with a historical appreciation, as
well as new concepts and insights derived from the author's 35
years of experience in technology. The author provides a
description of what healthcare data analysis is and how it is
changing in the era of abundant data. Just as important is the
topic of infrastructure and how it provides capability for data
use. The book also describes how healthcare information
infrastructure needs to change in order to meet current and future
needs. The topics of artificial intelligence (AI) and machine
learning in healthcare are also addressed. The author concludes
with thoughts on the evolution of the role and use of data and
information going into the future.
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