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Delivering Superior Health and Wellness Management with IoT and Analytics

Overview of attention for book
Cover of 'Delivering Superior Health and Wellness Management with IoT and Analytics'

Table of Contents

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    Book Overview
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    Chapter 1 Towards a Medical Tricorder: A 3D Map to Categorise Diseases for Self-Care with Mobile Technology
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    Chapter 2 Piloting a Mobile Tele-simulation Unit to Train Rural and Remote Emergency Healthcare Providers
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    Chapter 3 Drone Delivery Models for Medical Emergencies
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    Chapter 4 Converting Disability into Ability Using IT/IS and Smart Textiles
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    Chapter 5 A Mobile Nursing Solution
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    Chapter 6 SmartCoping: A Mobile Solution for Recognizing Stress and Coping with It
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    Chapter 7 Changing Behavior of Kids with Obesity with Gamified Wearables
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    Chapter 8 Precision Wellness: An Optimization Model
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    Chapter 9 The Development of a Wearable for Automated Documentation and Improved Staff Planning in Outpatient Care
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    Chapter 10 Towards a Better Life for Diabetic Patients: Developing and Integrating a Non-invasive Self-Management Support Tool Within a Smart Digital Companion
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    Chapter 11 Intelligent Risk Detection in Health Care: Integrating Social and Technical Factors to Manage Health Outcomes
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    Chapter 12 A Literature Review on Predicting Unplanned Patient Readmissions
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    Chapter 13 Using Knowledge Management to Develop Superior Online Health Decision Support Solutions: The Case of Allergy Care
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    Chapter 14 Opportunities for Using Blockchain Technology in e-Health: e-Prescribing in Germany
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    Chapter 15 Knowledge Acquisition of Consumer Medication Adherence
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    Chapter 16 Addressing Data Accuracy and Information Integrity in mHealth Solutions Using Machine Learning Algorithms
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    Chapter 17 Enabling Value-Based Health Care with Business Analytics and Intelligence
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    Chapter 18 A Review of Mixed Reality in Health Care
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    Chapter 19 Implementing Lean Principles in the Healthcare Industry: A Theoretical and Practical Overview
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    Chapter 20 Data, Denial, and Disparity: Is This a New Digital Divide?
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    Chapter 21 The Enabling Role for Technology in the Support of Care Coordination in Health Care
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    Chapter 22 Managing the Risks of Emerging IoT Devices
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    Chapter 23 Mosquitoes and Public Health: Improving Data Validation of Citizen Science Contributions Using Computer Vision
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    Chapter 24 Using Responsive Web Design to Enhance the User Experience of Chronic Disease Management Portals for Clinical Users
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    Chapter 25 Older Adults Empowerment Through Training and Support and Its Implication on Proactive Self-Monitoring, Patient Engagement, and Connected Health
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    Chapter 26 An Evaluation of the Point-of-Care (PoC) System Implementation and Adoption in a Multi-Campus Private Hospital in Melbourne
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    Chapter 27 Leveraging the IoT to Enable the Guided Self-Determination Method
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    Chapter 28 Determining Missing Key Elements in Oncology Information System to Improve Patient Experience and Clinical Care
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    Chapter 29 Toward Actionable Knowledge: A Systematic Analysis of Mobile Patient Portal Use
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    Chapter 30 A Lazy User Perspective to Patient Adoption and Use of Personal Health Records
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    Chapter 31 The Australian PCEHR or My Health Record: The Journey Around a Large-Scale Nationwide Digital Health Solution
Overall attention for this book and its chapters
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Title
Delivering Superior Health and Wellness Management with IoT and Analytics
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-17347-0
ISBNs
978-3-03-017346-3, 978-3-03-017347-0
Editors

Wickramasinghe, Nilmini, Bodendorf, Freimut

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 14%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 11%
Researcher 3 11%
Unspecified 1 4%
Other 3 11%
Unknown 10 36%
Readers by discipline Count As %
Computer Science 4 14%
Engineering 4 14%
Pharmacology, Toxicology and Pharmaceutical Science 3 11%
Business, Management and Accounting 2 7%
Medicine and Dentistry 2 7%
Other 4 14%
Unknown 9 32%