P5 EHealth : an Agenda for the Health Technologies of the Future.
Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Cham :
Springer International Publishing AG,
2019.
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Edition: | 1st ed. |
Subjects: | |
Online Access: | Click to View |
Table of Contents:
- P5 eHealth: An Agenda for the Health Technologies of the Future
- Preface
- Contents
- About the Editors
- Part I: Foundations for P5 eHealth
- Chapter 1: A "P5" Approach to Healthcare and Health Technology
- 1 Introduction
- 2 P5 Medicine
- 3 eHealth
- 3.1 Strengths of eHealth
- 3.2 Criticalities of eHealth and Emerging Challenges
- 4 Conclusion
- References
- Chapter 2: The Development of iManageCancer: The Experience of a Personalised eHealth Platform for Cancer Patients' Empowerment
- 1 Introduction
- 2 The IManageCancer Platform
- 2.1 My HealthAvatar for iManageCancer
- 2.2 iManageMyHealth
- 2.3 iManageCancer Portal iPHR
- 2.4 Game for Adults
- 3 iManageCancer Within the p5 Approach
- 4 Conclusion
- References
- Part II: The 5 Ps and eHealth
- Chapter 3: The Prevention of Chronic Diseases Through eHealth: A Practical Overview
- 1 Introduction
- 2 Risk Factors for Chronic Diseases
- 3 Primary, Secondary, and Tertiary eHealth Prevention
- 4 Population-Based vs. Individual-Based eHealth Prevention
- 5 eHealth Behavioral Change Interventions
- 6 Strategies of eHealth Prevention
- 7 Conclusion
- References
- Chapter 4: An Introduction to Personalized eHealth
- 1 Introduction
- 1.1 What Are the News of Personalized Medicine?
- 1.2 A Brief History
- 2 The Development of Personalized Medicine
- 2.1 Treatments
- 2.2 Diagnosis and Risk Prediction
- 2.3 Doctor-Patient Communication
- 2.4 Disease/Illness Management
- 3 The Role of eHealth (and mHealth Specifically)
- 4 Liability: The Road Toward Becoming Active Patients
- 5 Communication Through eHealth
- 6 Health Social Networks
- 7 Challenges to eHealth Usages and Possible Solutions
- 8 Conclusion
- References
- Chapter 5: Predictive Precision Medicine: Towards the Computational Challenge
- 1 Introduction
- 2 Predictive Medicine and Precision Medicine.
- 3 Imaging Techniques, Artificial Intelligence and Machine Learning
- 3.1 Imaging Techniques
- 3.2 Artificial Intelligence and Machine Learning
- 3.3 Medical Imaging and Machine Learning
- 4 Predictive Precision Medicine in Neurodegenerative Diseases
- 4.1 Current Application: From Dementias to Parkinson's Disease
- 5 Conclusion
- References
- Chapter 6: Participatory Aspects of ICT Infrastructures for Cancer Management
- 1 Introduction
- 2 Participatory Aspects for Cancer Management
- 2.1 From Personalized to Participatory Medicine
- 2.2 Critical Factors of Participatory Medicine
- 2.3 Psychological Factors as Moderators of Participatory Medicine
- 3 ICT Solutions from Relevant EU Projects
- 3.1 iManageCancer
- 3.1.1 Technological Contribution
- 3.1.2 Participatory Aspect of the Developed Solution
- 3.1.3 Lessons Learnt
- 3.2 MyHealthAvatar
- 3.2.1 Technological Contribution
- 3.2.2 Participatory Aspect of the Developed Solution
- 3.2.3 Lessons Learnt
- 3.3 p-Medicine
- 3.3.1 Technological Contribution
- 3.3.2 Participatory Aspect of the Developed Solution
- 3.3.3 Lessons Learnt
- 3.4 EURECA
- 3.4.1 Technological Contribution
- 3.4.2 Participatory Aspects of the Developed Solution
- 3.4.3 Lessons Learnt
- 3.5 INTEGRATE
- 3.5.1 Technological Contribution
- 3.5.2 Participatory Aspect of the Developed Solution
- 3.5.3 Lessons Learnt
- 4 Conclusions and Guidelines for Future Development
- References
- Chapter 7: Psycho-cognitive Factors Orienting eHealth Development and Evaluation
- 1 The P5 and the Personomics Approach
- 2 The Key Elements for the P5-Personomics Approach
- 3 Solutions Come from the eHealth Apps
- 4 Digital Health in the Patient's Journey
- 4.1 A Possible Scenario
- 5 The Importance of Patient Education
- 6 Persuasive Design Technology
- 7 Conclusion
- References.
- Part III: Important Aspects for P5 Technologies Development and Utilization
- Chapter 8: Role of Next-Generation Sequencing Technologies in Personalized Medicine
- 1 Historic Background of DNA Sequencing
- 1.1 The NGS Revolution in the Context of Precision Medicine
- 2 Technical Aspects: From Sanger Sequencing to NGS
- 2.1 Library Preparation and Amplification
- 2.2 Sequencing
- 2.3 Data Analysis
- 3 NGS Methods: Genomics, Transcriptomics, and Epigenomics
- 3.1 Genomics
- 3.2 Transcriptomics
- 3.3 Epigenomics
- 4 NGS Applications for a Personalized Oncology
- 4.1 Detection of Driver Alterations and Resistance
- 4.1.1 Lung Cancer
- 4.1.2 Breast Cancer
- 4.1.3 Carcinoma of Unknown Primary Site
- 4.2 Biomarkers
- 4.2.1 Homologous Recombination Deficiency
- 4.2.2 Microsatellite Instability
- 4.2.3 Tumor Mutational Burden
- 4.3 Liquid Biopsy
- 4.3.1 Early Diagnosis of Primary Disease
- 4.3.2 Early Detection of Relapse
- 4.3.3 Detection of Driver/Resistance Mutations and Real-Time Monitoring of Therapies
- 4.3.4 Characterization of Tumor Heterogeneity
- 4.3.5 CTCs and ctDNA Analysis
- 5 NGS Implementation in Clinical Practice: Challenges and Limitations
- References
- Chapter 9: User-Centered Design Approaches and Methods for P5 eHealth
- 1 Introduction
- 2 From Ergonomics to User-Centered Design
- 2.1 Interaction Factors
- 2.2 Motivation and Emotion
- 2.2.1 Motivation in Design
- 2.2.2 Emotion in Design
- 2.3 Context
- 2.3.1 Individual and Psychosocial Dimensions of Context
- 2.3.2 Cultural and Relational Dimensions of Context
- 2.3.3 Physical and Material Dimension of Context
- 3 User-Centered Design and P5 eHealth
- References
- Chapter 10: Data Protection and Ethical Issues in European P5 eHealth
- 1 Introduction
- 2 eHealth in the European Union: From Advancement of Innovation to Data Protection Concerns.
- 3 The GDPR and Its Impact on eHealth Research and Innovation
- 3.1 The Accountability Principle and its Implications
- 3.2 Pseudonymization and Anonymization of Sensitive Data
- 3.3 The "Right Balance" Between Innovation and Protection of Individuals' Rights and Interests?
- 4 Ethical Issues in eHealth Technologies
- 4.1 Online eHealth (Self-Management) Tools
- 4.2 Monitoring Techniques
- 4.3 New and Unconventional eHealth Technologies
- 5 Conclusions
- References.