P5 EHealth : an Agenda for the Health Technologies of the Future.

Bibliographic Details
Main Author: Pravettoni, Gabriella.
Other Authors: Triberti, Stefano.
Format: eBook
Language:English
Published: Cham : Springer International Publishing AG, 2019.
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.