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LECTURE NOTES IN BIOENGINEERNG: BIG DATA BIG CHALLENGES

Medical Informatics

Health, Medicine & Nursing

Gt Product Group

Binding Format

Marketing Imprint Name

B2B GT

CL Carton Count

Imprint Name

B2B & B2C

<P>This is the first book to offer a comprehensive, yet concise overview of the challenges and opportunities presented by the use of big data in healthcare. The respective chapters address a range of aspects: from health management to patient safety; from the human factor perspective to ethical and economic considerations, and many more. By providing a historical background on the use of big data, and critically analyzing current approaches together with issues and challenges related to their applications, the book not only sheds light on the problems entailed by big data, but also paves the way for possible solutions and future research directions. Accordingly, it offers an insightful reference guide for health information technology professionals, healthcare managers, healthcare practitioners, and patients alike, aiding them in their decision-making processes; and for students and researchers whose work involves data science-related research issues in healthcare. It presents a multifaceted perspective on the use of Big Data in healthcare; analyzes the challenges and impacts of mainstream big data approaches; and proposes alternative approaches and solutions.</P>

Big Data, Big Challenges

COLFR

COLSR

Duration

Duration Unit Of Measure

Transaction Type

Front Cover.
Half Title Page.
Other Frontmatter.
Title Page.
Copyright Page.
Preface.
Contents.
1: Health Professional Perspective.
2: Big Data Challenges from a Nursing Perspective.
3: Big Data Challenges for Clinical and Precision Medicine.
4: Big Data Challenges from a Pharmacy Perspective.
5: Big Data Challenges from a Public Health Informatics Perspective.
6: Big Data Challenges from a Healthcare Administration Perspective.
7: Big Data Challenges from a Healthcare Governance Perspective.
8: Human Factors and Ethical Perspectives.
9: Big Data and Patient Safety.
10: Big Data Challenges from a Human Factors Perspective.
11: Big Data Privacy and Ethical Challenges.
12: Technological Perspectives.
13: Health Lifestyle Data-Driven Applications Using Pervasive Computing.
14: Big Data Challenges from an Integrative Exposome/Expotype Perspective.
Glossary.

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Big Data, Big Challenges