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  • Actionable Intelligence in Healthcare

    Actionable Intelligence in Healthcare by Liebowitz, Jay; Dawson, Amanda;

    Series: Data Analytics Applications;

      • GET 20% OFF

      • The discount is only available for 'Alert of Favourite Topics' newsletter recipients.
      • Publisher's listprice GBP 44.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        21 493 Ft (20 470 Ft + 5% VAT)
      • Discount 20% (cc. 4 299 Ft off)
      • Discounted price 17 195 Ft (16 376 Ft + 5% VAT)

    21 493 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Short description:

    Actionable Intelligence in Healthcare cuts through the hype and misconceptions regarding healthcare data analytics, provides a realistic assessment of the state of healthcare data analytics today, and offers an insightful forecast of both the near-term and longer-term development in the field. By considering the pe

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    Long description:

    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.

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    Table of Contents:

    Empowering Clinician-Scientists in the Information Age of Omics and Data Science
    Pamela A. Tamez and Mary B. Engler



    Making Data Matter: Identifying Care Opportunities for US Healthcare Transformation
    Mark A. Caron



    Turning Data into Enhanced Value for Patients
    Kyun Hee (Ken) Lee



    Data Analytics for the Clinical Researcher
    Minjae Kim



    Intelligent Healthcare: The Case of the Emergency Department
    Shivaram Poigai Arunachalam, Mustafa Sir, and Kalyan S. Pasupathy



    Network Analytics to Enable Decisions in Healthcare Management
    Uma Srinivasan, Arif Khan, and Shahadat Uddin



    Modeling and Analysis of Behavioral Health Data Using Graph Analytics
    Rose Yesha and Aryya Gangopadhyay



    The Heart of the Digital Workplace: Intelligent Search Moves the Measure from Efficiency to Proficiency for a Fortune Healthcare Company
    Jay Liebowitz and Diane Berry



    The Promise of Big Data Analytics—Transcending Knowledge Discovery through Point-of-Care Applications
    Lavi Oud



    Predictive Analytics and Machine Learning in Medicine
    L. Nelson Sanchez-Pinto and Matthew M. Churpek



    High-Dimensional Models and Analytics in Large Database Applications
    Michael Brimacombe



    Learning to Extract Actionable Evidence from Medical Insurance Claims Data
    Jieshi Chen and Artur Dubrawski



    The Role of Unstructured Data in Healthcare Analytics
    Amanda Dawson and Sergei Ananyan

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