{"product_id":"the-digital-patient-isbn-9781118952757","title":"The Digital Patient","description":"\u003cp\u003e\u003cb\u003eA modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe 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, \u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education \u003c\/i\u003epresents 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; it also includes systems analysis, Big Data, and 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education \u003c\/i\u003eaddresses the international research efforts that are leading to the development of the Digital Patient, the wealth of ongoing research in systems biology and multiscale simulation, and the imminent applications within the domain of personalized healthcare. Chapter coverage includes:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe visible human\u003c\/li\u003e \u003cli\u003eThe physiological human\u003c\/li\u003e \u003cli\u003eThe virtual human\u003c\/li\u003e \u003cli\u003eResearch in systems biology\u003c\/li\u003e \u003cli\u003eMulti-scale modeling\u003c\/li\u003e \u003cli\u003ePersonalized medicine\u003c\/li\u003e \u003cli\u003eSelf-quantification\u003c\/li\u003e \u003cli\u003eVisualization\u003c\/li\u003e \u003cli\u003eComputational modeling\u003c\/li\u003e \u003cli\u003eInterdisciplinary collaboration\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education\u003c\/i\u003e 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.\u003c\/p\u003e List of Contributors xiii \u003cp\u003ePreface xvii\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 1 The Vision: The Digital Patient—Improving Research, Development, Education, and Healthcare Practice 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 The Digital Patient 3\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eC. Donald Combs\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eHealth, The Goal, 4\u003c\/p\u003e \u003cp\u003ePersonalized Medicine, 4\u003c\/p\u003e \u003cp\u003eThe Best Outcomes, 5\u003c\/p\u003e \u003cp\u003eThe Emergence of the Digital Patient, 5\u003c\/p\u003e \u003cp\u003eThe Human Physiome, 6\u003c\/p\u003e \u003cp\u003eEnabling the Digital Patient, 8\u003c\/p\u003e \u003cp\u003eP4 Medicine, 11\u003c\/p\u003e \u003cp\u003eConclusion, 11\u003c\/p\u003e \u003cp\u003eReferences, 12\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Reflecting on Discipulus and Remaining Challenges 15\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVanessa Díaz]Zuccarini, Mona Alimohammadi, and César Pichardo]Almarza\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 15\u003c\/p\u003e \u003cp\u003eA Brief Contextual Background and a Call for Integration: Personalized Medicine is Holistic, 16\u003c\/p\u003e \u003cp\u003eThe Many Versions of the Digital Patient: On the Road to Medical Avatars, 18\u003c\/p\u003e \u003cp\u003eDiscipulus: The Digital Patient Technological Challenges and Main Conclusions, 19\u003c\/p\u003e \u003cp\u003eThe Remaining Challenges and Big Data, 24\u003c\/p\u003e \u003cp\u003eConclusion, 25\u003c\/p\u003e \u003cp\u003eReferences, 26\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Advancing the Digital Patient 27\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eCatherine M. Banks\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 27\u003c\/p\u003e \u003cp\u003eThe Digital Patient: Its Early Start, 28\u003c\/p\u003e \u003cp\u003eEngaging the Digital Patient, 30\u003c\/p\u003e \u003cp\u003eConclusion, 31\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 The Significance of Modeling and Visualization 33\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJohn A. Sokolowski and Hector M. Garcia\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 33\u003c\/p\u003e \u003cp\u003eModeling a Complex System: Human Physiology, 34\u003c\/p\u003e \u003cp\u003eMedical Modeling, Simulation, and Visualization, 35\u003c\/p\u003e \u003cp\u003eModes and Types of Visualization, 40\u003c\/p\u003e \u003cp\u003eVisualization for Patient]Specific Usefulness, 43\u003c\/p\u003e \u003cp\u003eConclusion, 43\u003c\/p\u003e \u003cp\u003eReferences, 45\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 2 State of the Art: Systems Biology, the Physiome and Personalized Health 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 The Visible Human: A Graphical Interface for Holistic Modeling and Simulation 51\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eVictor M. Spitzer\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 51\u003c\/p\u003e \u003cp\u003eEducation, 53\u003c\/p\u003e \u003cp\u003eModeling, 55\u003c\/p\u003e \u003cp\u003eVirtual Reality Trainers and Simulators, 56\u003c\/p\u003e \u003cp\u003eConclusion, 58\u003c\/p\u003e \u003cp\u003eReferences, 59\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 The Quantifiable Self: Petabyte by Petabyte 63\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eC. Donald Combs and Scarlett R. Barham\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 63\u003c\/p\u003e \u003cp\u003eSmarr’s Quantified Self, 64\u003c\/p\u003e \u003cp\u003eExtending Smarr’s Research, 67\u003c\/p\u003e \u003cp\u003eThe Quantified Self]Vision, Simplified, 69\u003c\/p\u003e \u003cp\u003eCriticism, 69\u003c\/p\u003e \u003cp\u003eConclusion, 71\u003c\/p\u003e \u003cp\u003eReferences, 72\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Systems Biology and Health Systems Complexity: Implications for the Digital Patient 73\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eC. Donald Combs, Scarlett R. Barham, and Peter M. A. Sloot\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 73\u003c\/p\u003e \u003cp\u003eSystems Biology, 75\u003c\/p\u003e \u003cp\u003eThe Institute for Systems Biology, 76\u003c\/p\u003e \u003cp\u003eThe Complexity Institute, 78\u003c\/p\u003e \u003cp\u003eThe Potential of Systems Biology, 81\u003c\/p\u003e \u003cp\u003eCriticism, 82\u003c\/p\u003e \u003cp\u003eConclusion, 83\u003c\/p\u003e \u003cp\u003eReferences, 83\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Personalized Computational Modeling for the Treatment of Cardiac Arrhythmias 85\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSeth H. Weinberg\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 85\u003c\/p\u003e \u003cp\u003eBasics of Cardiac Electrophysiology, 86\u003c\/p\u003e \u003cp\u003eCardiac Modeling Advancements, 89\u003c\/p\u003e \u003cp\u003eRegulation of Intracellular Calcium, 90\u003c\/p\u003e \u003cp\u003eFrom Cells to Cables to Sheets to Tissue to the Heart, 91\u003c\/p\u003e \u003cp\u003eWhere Can we go from Here? What is the Cardiac Model in the Digital Patient? 95\u003c\/p\u003e \u003cp\u003eReferences, 96\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 The Physiome Project, openEHR Archetypes, and the Digital Patient 101\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eDavid P. Nickerson, Koray Atalag, Bernard de Bono, and Peter J. Hunter\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 101\u003c\/p\u003e \u003cp\u003eMultiscale Physiological Processes, 102\u003c\/p\u003e \u003cp\u003ePhysiome Project Standards, Repositories, and Tools, 103\u003c\/p\u003e \u003cp\u003eArchetype Specialization, 112\u003c\/p\u003e \u003cp\u003eArchetype Definition Language, 113\u003c\/p\u003e \u003cp\u003eLinking Archetypes to External Knowledge Sources (Terminology and Biomedical Ontologies), 114\u003c\/p\u003e \u003cp\u003eArchetype Annotations, 114\u003c\/p\u003e \u003cp\u003eOpenEHR Model Repository and Governance, 115\u003c\/p\u003e \u003cp\u003eFast Healthcare Interoperability Resources, 115\u003c\/p\u003e \u003cp\u003eA Disease Scenario, 116\u003c\/p\u003e \u003cp\u003eSummary and Conclusions, 121\u003c\/p\u003e \u003cp\u003eReferences, 122\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Physics]Based Modeling for the Physiome 127\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eWilliam A. Pruett and Robert L. Hester\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 127\u003c\/p\u003e \u003cp\u003eModeling Schemes, 128\u003c\/p\u003e \u003cp\u003eFuture Challenges, 142\u003c\/p\u003e \u003cp\u003eConclusion, 142\u003c\/p\u003e \u003cp\u003eAcknowledgments, 143\u003c\/p\u003e \u003cp\u003eReferences, 143\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Modeling and Understanding the Human Body with SwarmScript 149\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSebastian von Mammen, Stefan Schellmoser, Christian Jacob, and Jörg Hähner\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 149\u003c\/p\u003e \u003cp\u003eRelated Work, 150\u003c\/p\u003e \u003cp\u003eMultiagent Organization, 152\u003c\/p\u003e \u003cp\u003eDesigning Interactive Agents, 152\u003c\/p\u003e \u003cp\u003eSpeaking SwarmScript, 153\u003c\/p\u003e \u003cp\u003eAnswering Demand: The Design of SwarmScript, 153\u003c\/p\u003e \u003cp\u003eGraph]Based Rule Representation, 153\u003c\/p\u003e \u003cp\u003eThe Source–Action–Target, 154\u003c\/p\u003e \u003cp\u003eSwarmScript INTO3D, 154\u003c\/p\u003e \u003cp\u003eA SwarmScript Dialogue, 155\u003c\/p\u003e \u003cp\u003eDiscussion, 159\u003c\/p\u003e \u003cp\u003eSummary, 161\u003c\/p\u003e \u003cp\u003eReferences, 162\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Using Avatars and Agents to Promote Real]World Health Behavior Changes 167\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSun Joo (Grace) Ahn\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 167\u003c\/p\u003e \u003cp\u003eAvatars and Agents, 168\u003c\/p\u003e \u003cp\u003eUsing Agents and Avatars to Promote Health Behavior Changes, 169\u003c\/p\u003e \u003cp\u003eConclusion, 174\u003c\/p\u003e \u003cp\u003eReferences, 174\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Virtual Reality and Eating, Diabetes, and Obesity 179\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJessica E. Cornick and Jim Blascovich\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 179\u003c\/p\u003e \u003cp\u003eVirtual Reality, 179\u003c\/p\u003e \u003cp\u003eObesity and Weight Stigma, 184\u003c\/p\u003e \u003cp\u003eVirtual Reality as a Tool for Combatting Health Issues, 185\u003c\/p\u003e \u003cp\u003eConclusion, 189\u003c\/p\u003e \u003cp\u003eReferences, 189\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Immersive Virtual Reality to Model Physical: Social Interaction and Self]Representation 197\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eEric B. Bauman\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 197\u003c\/p\u003e \u003cp\u003eTheory for Immersive Virtual Learning Spaces, 197\u003c\/p\u003e \u003cp\u003eConclusion, 202\u003c\/p\u003e \u003cp\u003eReferences, 203\u003c\/p\u003e \u003cp\u003ePart 3 Challenges: Assimilating the Comprehensive Digital Patient 205\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 A Roadmap for Building a Digital Patient System 207\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSaikou Y. Diallo and Christopher J. Lynch\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 207\u003c\/p\u003e \u003cp\u003eApproach, 210\u003c\/p\u003e \u003cp\u003eBuilding the Digital Patient Through Interoperability, 211\u003c\/p\u003e \u003cp\u003eConclusion, 221\u003c\/p\u003e \u003cp\u003eAcknowledgments, 221\u003c\/p\u003e \u003cp\u003eReferences, 221\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Multidisciplinary, Interdisciplinary, and Transdisciplinary Research: Contextualization and Reliability of the Composite 225\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAndreas Tolk\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 225\u003c\/p\u003e \u003cp\u003eInterdisciplinarity and Interdisciplinary Research, 226\u003c\/p\u003e \u003cp\u003eData Engineering to Support Interdisciplinarity and Interoperability, 228\u003c\/p\u003e \u003cp\u003eBase Object Models to Support Transdisciplinarity and Composability, 233\u003c\/p\u003e \u003cp\u003eOpen Challenges on Reliability, 235\u003c\/p\u003e \u003cp\u003eSummary and Conclusion, 237\u003c\/p\u003e \u003cp\u003eReferences, 239\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Bayes Net Modeling: The Means to Craft the Digital Patient 241\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eJoseph A. Tatman and Barry C. Ezell\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 241\u003c\/p\u003e \u003cp\u003eOther Interesting Applications, 246\u003c\/p\u003e \u003cp\u003eConclusion, 251\u003c\/p\u003e \u003cp\u003eReferences, 253\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart 4 Potential Impact: Engaging The Digital Patient 255\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e18 Virtual Reality Standardized Patients for Clinical Training 257\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAlbert Rizzo and Thomas Talbot\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 257\u003c\/p\u003e \u003cp\u003eThe Rationale for Virtual Standardized Patients, 258\u003c\/p\u003e \u003cp\u003eConversational Virtual Human Agents, 259\u003c\/p\u003e \u003cp\u003eUsc Efforts to Create Virtual Standardized Patients, 260\u003c\/p\u003e \u003cp\u003eConclusion, 269\u003c\/p\u003e \u003cp\u003eReferences, 270\u003c\/p\u003e \u003cp\u003e\u003cb\u003e19 The Digital Patient: Changing the Paradigm of Healthcare and Impacting Medical Research and Education 273\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eV. Andrea Parodi\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 273\u003c\/p\u003e \u003cp\u003eOverview Digital Medicine Projects, 275\u003c\/p\u003e \u003cp\u003ePersonalized Patient Care Clinical Use, 279\u003c\/p\u003e \u003cp\u003eRecommended Education and Training for VPH Project Participation, 281\u003c\/p\u003e \u003cp\u003eFrom Flexner to the 2010 Carnegie Report, 284\u003c\/p\u003e \u003cp\u003eSummary Statements, 286\u003c\/p\u003e \u003cp\u003eReferences, 287\u003c\/p\u003e \u003cp\u003e\u003cb\u003e20 The Digital Patient: A Vision for Revolutionizing the Electronic Medical Record and Future Healthcare 289\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eRichard M. Satava\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIntroduction, 289\u003c\/p\u003e \u003cp\u003eApplications of the Digital Patient as the EMR, 291\u003c\/p\u003e \u003cp\u003eDiscussion, 296\u003c\/p\u003e \u003cp\u003eConclusion, 297\u003c\/p\u003e \u003cp\u003eReferences, 297\u003c\/p\u003e \u003cp\u003e\u003cb\u003e21 Realizing the Digital Patient 299\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eC. Donald Combs and John A. Sokolowski\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eIndex 305\u003c\/p\u003e \u003cp\u003e\u003cb\u003eC. Donald Combs, PhD,\u003c\/b\u003e is Vice President and Dean of the School of Health Professions at Eastern Virginia Medical School and is also a senior faculty member in the Department of Modeling, Simulation, and Visualization Engineering at Old Dominion University.  \u003c\/p\u003e \u003cp\u003e\u003cb\u003eJohn A. Sokolowski, PhD,\u003c\/b\u003e is Associate Professor and Executive Director of the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.  \u003c\/p\u003e \u003cp\u003e\u003cb\u003eCatherine M. Banks, PhD,\u003c\/b\u003e is Research Associate Professor at the Virginia Modeling, Analysis, and Simulation Center at Old Dominion University.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eA modern guide to computational models and constructive simulation for personalized patient care using the Digital Patient\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe 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, \u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education \u003c\/i\u003epresents 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education\u003c\/i\u003e 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:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eThe visible human\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eThe physiological human\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eThe virtual human\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eSelf-quantification\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eResearch in systems biology \u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eVisualization\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eMulti-scale modeling\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eComputational modeling\u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003ePersonalized medicine \u003c\/li\u003e \u003c\/ul\u003e \u003cul\u003e \u003cli\u003eInterdisciplinary collaboration \u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003ci\u003eThe Digital Patient: Advancing Healthcare, Research, and Education\u003c\/i\u003e 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.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990207709413,"sku":"NP9781118952757","price":111.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781118952757.jpg?v=1761786912","url":"https:\/\/k12savings.com\/products\/the-digital-patient-isbn-9781118952757","provider":"K12savings","version":"1.0","type":"link"}