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Information Technology and Data in Healthcare (Using and Understanding Data) - 9781032082271

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9781032082271
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  • Product Details

    Author:
    David Hartzband
    Format:
    Paperback
    Pages:
    192
    Publisher:
    Taylor & Francis (August 2, 2021)
    Language:
    English
    ISBN-13:
    9781032082271
    Weight:
    12.75oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260411045344499-20260411.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $47.99
    Series:
    HIMSS Book Series
    Case Pack:
    60
    As low as:
    $45.59
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Audience:
    Professional and scholarly
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    Productivity Press
  • Overview

    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.