Actionable Intelligence in Healthcare

Jay Liebowitz, Amanda Dawson

April 25, 2017 by Auerbach Publications
Reference - 279 Pages - 77 B/W Illustrations
ISBN 9781498779937 - CAT# K29893
Series: Data Analytics Applications

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Features

  • Provides an overview of the current frontier for healthcare data analytics
  • Describes the perspectives of various healthcare stakeholders regarding the opportunities and challenges for healthcare data analytic
  • Identifies the major impediments to realizing the full potential of data analytics in healthcare
  • Addresses the critical challenge of data curation: sorting through the mountains of available data to derive meaning to improve healthcare delivery and outcomes
  • Provides a future forecast of healthcare data analytics, both near term and longer term

Summary

This book shows healthcare professionals how to turn data points into meaningful knowledge upon which they can take effective action. Actionable intelligence can take many forms, from informing health policymakers on effective strategies for the population to providing direct and predictive insights on patients to healthcare providers so they can achieve positive outcomes. It can assist those performing clinical research where relevant statistical methods are applied to both identify the efficacy of treatments and improve clinical trial design. It also benefits healthcare data standards groups through which pertinent data governance policies are implemented to ensure quality data are obtained, measured, and evaluated for the benefit of all involved.

Although the obvious constant thread among all of these important healthcare use cases of actionable intelligence is the data at hand, such data in and of itself merely represents one element of the full structure of healthcare data analytics. This book examines the structure for turning data into actionable knowledge and discusses:

  • The importance of establishing research questions
  • Data collection policies and data governance
  • Principle-centered data analytics to transform data into information
  • Understanding the "why" of classified causes and effects
  • Narratives and visualizations to inform all interested parties

Actionable Intelligence in Healthcare is an important examination of how proper healthcare-related questions should be formulated, how relevant data must be transformed to associated information, and how the processing of information relates to knowledge. It indicates to clinicians and researchers why this relative knowledge is meaningful and how best to apply such newfound understanding for the betterment of all.