| Description |
1 online resource |
| Series |
Data analytics applications |
| Contents |
Cover ; Half Title; Title Page; Copyright Page; Dedication; Table of Contents; Foreword ; Editors ; Contributors ; Chapter 1: Empowering Clinician-Scientists in the Information Age of Omics and Data Science ; 1.1 Introduction ; 1.2 Building Genomic Competency: Defining Omics Sciences ; 1.3 Building Genomic Competency: Working in Interdisciplinary Teams ; 1.4 Knowledge Discovery-How Data Can Be Translated to the Clinical Setting ; 1.5 Conclusions ; References ; Chapter 2: Making Data Matter: Identifying Care Opportunities for US Healthcare Transformation |
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2.1 Digitizing Healthcare-Connecting the Islands of Data 2.1.1 Within 3 Years, Three Quarters of Hospitals Had a Basic EHR System ; 2.2 Achieving the Triple Aim in Healthcare ; 2.3 A Closer Look at Data Sources ; 2.4 Turning Data into Insights ; 2.5 Understanding Risk ; 2.6 Bringing It All Together ; 2.7 Summary ; Chapter 3: Turning Data into Enhanced Value for Patients ; 3.1 Introduction ; 3.2 Blood Management ; 3.2.1 Background ; 3.2.2 Business Imperative ; 3.2.3 PBM Data and Analytics ; 3.2.4 Results ; 3.3 Enhanced Recovery after Surgery ; 3.3.1 Background ; 3.3.2 Enhancing Overall Value |
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3.3.3 ERAS Data and Analytics 3.4 Summary ; 3.5 Future Direction ; References ; Chapter 4: Data Analytics for the Clinical Researcher ; 4.1 Introduction ; 4.2 Posing the Research Question ; 4.3 Hierarchies of Evidence ; 4.4 Data Sources ; 4.4.1 Administrative Data ; 4.4.2 Surveys ; 4.4.3 Other Data Sets ; 4.5 Data Analysis ; 4.6 Translating the Evidence ; 4.7 Conclusions ; References ; Chapter 5: Intelligent Healthcare: The Case of the Emergency Department ; 5.1 Introduction ; 5.2 Overview of the ED ; 5.2.1 Traditional Methods to Address ED Challenges ; 5.3 RFID in ED |
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5.3.1 RFID Overview and Its Application in Healthcare 5.3.2 RFID Application in ED ; 5.3.3 Intelligent ED through Effective Teamwork and Communication with RFID and Sociometers ; 5.4 Future Research Directions ; 5.5 Conclusion ; References ; Chapter 6: Network Analytics to Enable Decisions in Healthcare Management ; 6.1 Introduction ; 6.2 Network Analysis Principles ; 6.2.1 Basic Concepts ; 6.2.2 Node-Level Measures ; 6.2.2.1 Degree Centrality ; 6.2.2.2 Closeness Centrality ; 6.2.2.3 Betweenness Centrality ; 6.2.3 Network-Level Measures ; 6.2.3.1 Network Size ; 6.2.3.2 Network Density |
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6.2.3.3 Average Network Distance 6.2.3.4 Network Centralization ; 6.2.4 Clique and Subgroup Analysis ; 6.2.4.1 Clique ; 6.2.4.2 N-Clique ; 6.2.4.3 N-Clans ; 6.2.4.4 K-Plexes ; 6.3 Healthcare Data Sets ; 6.4 Application Scenario ; 6.4.1 Provider Collaboration Network ; 6.4.2 Clique Analysis ; 6.4.3 Team Composition ; 6.4.4 Understanding Health Trajectory Using Disease Network ; 6.5 Discussions and Future Research Directions ; References ; Chapter 7: Modeling and Analysis of Behavioral Health Data Using Graph Analytics ; 7.1 Introduction ; 7.2 Related Work ; 7.2.1 Analysis of Social Media |
| Summary |
"Actionable Intelligence for 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 perspectives, desires and concerns of multiple stakeholders across the healthcare sector, the book paints a holistic and realistic picture of the promise and perils of health care big data analytics. Specific applications are explored in healthcare research, clinical care, population health and care delivery.-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Print version record |
| Subject |
Medical informatics -- Data processing
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Medical records -- Data processing.
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Computational biology -- Methods
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Big data.
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Data mining.
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Medical Informatics
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Data Mining
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HEALTH & FITNESS -- Holism.
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HEALTH & FITNESS -- Reference.
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MEDICAL -- Alternative Medicine.
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MEDICAL -- Atlases.
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MEDICAL -- Essays.
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MEDICAL -- Family & General Practice.
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MEDICAL -- Holistic Medicine.
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MEDICAL -- Osteopathy.
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Big data
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Computational biology
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Data mining
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Medical records -- Data processing
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| Genre/Form |
Electronic books
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Methods (Music)
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| Form |
Electronic book
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| Author |
Liebowitz, Jay, 1957- editor.
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Dawson, Amanda (Editor of Actionable intelligence in healthcare), editor
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| ISBN |
9781351803670 |
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1351803670 |
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9781315208442 |
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131520844X |
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