THE DIGITAL PATIENT: ADVANCING HEALTHCARE, RESEARCH, AND EDUCATION

A modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient.

The healthcare industry’s emphasis is shifting from merely reacting to disease to preventing disease and promoting wellness. Addressing one of the more hopeful Big Data undertakings, The Digital Patient: Advancing Healthcare, Research, and Education presents a timely resource on the construction and deployment of the Digital Patient and its effects on healthcare, research, and education. The Digital Patient will not be constructed based solely on new information from all the “omics” fields, which includes systems analysis, Big Data, as well as the various efforts to model the human physiome and represent it virtually. The Digital Patient will be realized through the purposeful collaboration of patients as well as scientific, clinical, and policy researchers, from both their own research and through the development of an effective framework into which their research will fit.
The Digital Patient: Advancing Healthcare, Research, and Education addresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multi-scale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:

• The visible human
• The physiological human
• The virtual human
• Research in systems biology
• Multi-scale modeling
• Personalized medicine
• Self-quantification
• Visualization
• Computational modeling
• Interdisciplinary collaboration

The Digital Patient: Advancing Healthcare, Research, and Education is a useful reference for simulation professionals such as clinicians, medical directors, managers, simulation technologists, faculty members, and educators involved in research and development in the life sciences, physical sciences, and engineering. The book is also an ideal supplement for graduate-level courses related to human modeling, simulation, and visualization.

Table of Contents
• Part 1 The Vision: The Digital Patient—Improving Research, Development, Education, and Healthcare Practice 1
1 The Digital Patient 3
2 Reflecting on Discipulus and Remaining Challenges 15
3 Advancing the Digital Patient 27
4 The Significance of Modeling and Visualization 33
• Part 2 State of the Art: Systems Biology, the Physiome and Personalized Health 49
5 The Visible Human: A Graphical Interface for Holistic Modeling and Simulation 51
6 The Quantifiable Self: Petabyte by Petabyte 63
7 Systems Biology and Health Systems Complexity: Implications for the Digital Patient 73
8 Personalized Computational Modeling for the Treatment of Cardiac Arrhythmias 85
9 The Physiome Project, openEHR Archetypes, and the Digital Patient 101
10 Physics ]Based Modeling for the Physiome 127
11 Modeling and Understanding the Human Body with SwarmScript 149
12 Using Avatars and Agents to Promote Real ]World Health Behavior Changes 167
13 Virtual Reality and Eating, Diabetes, and Obesity 179
14 Immersive Virtual Reality to Model Physical: Social Interaction and Self Representation
• Part 3 Challenges: Assimilating the Comprehensive Digital Patient 205
15 A Roadmap for Building a Digital Patient System 207
16 Multidisciplinary, Interdisciplinary, and Transdisciplinary Research: Contextualization and Reliability of the Composite 225
17 Bayes Net Modeling: The Means to Craft the Digital Patient 241
• Part 4 Potential Impact: Engaging The Digital Patient 255
18 Virtual Reality Standardized Patients for Clinical Training 257
19 The Digital Patient: Changing the Paradigm of Healthcare and Impacting Medical Research and Education 273
20 The Digital Patient: A Vision for Revolutionizing the Electronic Medical Record and Future Healthcare 289
21 Realizing the Digital Patient 299
Index 305