About the Authors |
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xi | |
Preface |
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xiii | |
1 Innovations in mHealth, Part 1: The Role of Blockchain, Conversational Interfaces, and Chatbots |
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1 | (16) |
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2 | (3) |
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System Architecture for MedRec |
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5 | (2) |
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Artificial Intelligence and Ambient Digital Assistants |
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7 | (3) |
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Intelligent Virtual Agents |
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10 | (3) |
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Technology in the Service of Altruism |
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13 | (1) |
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14 | (3) |
2 Innovations in mHealth, Part 2: Electronic Health Record-Linked Apps, Remote Patient Monitoring, and the Internet of Things |
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17 | (24) |
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Using Electronic Health Record-Linked Mobile Apps to Improve Patient Care |
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17 | (6) |
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Remote Patient Monitoring and Wearables |
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23 | (2) |
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Choosing the Best Monitoring Technology |
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25 | (5) |
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The Internet of Things: Getting Past the Hype |
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30 | (1) |
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Shining a Light on Beacon Technology |
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31 | (2) |
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At the Intersection of Evidence and Doubt |
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33 | (3) |
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Reductionism Versus Systems Biology |
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36 | (2) |
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38 | (3) |
3 Exploring the Strengths and Weaknesses of Mobile Health Apps |
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41 | (28) |
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Will mHealth Fade Into the Sunset? |
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41 | (8) |
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Choosing Effective, Sticky Health Apps |
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49 | (9) |
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The Role of N of 1 Studies in Mobile Medicine |
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58 | (1) |
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Usability, User Ratings, and Observations Studies |
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59 | (1) |
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60 | (6) |
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66 | (3) |
4 Mobile Apps: Heart Disease, Hypertension, and Atrial Fibrillation |
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69 | (20) |
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72 | (4) |
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76 | (3) |
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Dyslipidemia, Stress, and Remote Monitoring |
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79 | (3) |
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82 | (4) |
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86 | (3) |
5 A Mobile Approach to Diabetes and Asthma |
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89 | (20) |
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Preventing Type 2 Diabetes |
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89 | (2) |
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91 | (1) |
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92 | (4) |
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Creating the Next Generation Diabetic Mobile App |
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96 | (3) |
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Managing Asthma With Mobile Technology |
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99 | (5) |
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The Role of Mobile Technology in Asthma Research |
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104 | (1) |
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105 | (4) |
6 Mental Health |
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109 | (8) |
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109 | (4) |
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How Strong Is the Evidence? |
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113 | (2) |
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115 | (2) |
7 Reinventing Clinical Decision Support: What Role for Mobile Technology? |
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117 | (28) |
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Clinical Decision Support Basics |
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118 | (1) |
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The Technological Underpinning of Next Generation CDS |
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119 | (3) |
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122 | (2) |
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What is the Human Brain Capable of? |
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124 | (3) |
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Reviewing Available CDS Systems |
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127 | (6) |
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Measuring the Impact of Clinical Decision Support Tools |
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133 | (1) |
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What Will the CDS System of the Future Look Like? |
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134 | (3) |
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Incorporating Systems Biology/Network Medicine Into CDS |
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137 | (5) |
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142 | (3) |
8 Telemedicine: Is It Good Patient Care? |
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145 | (24) |
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What Does Telemedicine Include? |
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145 | (1) |
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What Are the Advantages of Telemedicine? |
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146 | (4) |
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Physicians Remain Skeptical |
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150 | (1) |
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Regulations Governing Telemedicine Reimbursement |
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151 | (4) |
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Evidence of Clinical Effectiveness |
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155 | (5) |
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Limitations, Concerns, and Criticisms |
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160 | (4) |
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The Future Belongs to Medical Self-Care |
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164 | (3) |
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167 | (2) |
9 Patient Engagement: Our Top Priority |
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169 | (8) |
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How to Enhance Patient Engagement |
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170 | (3) |
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Does Patient Engagement Improve Clinical Outcomes? |
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173 | (2) |
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175 | (2) |
10 Mobile Security |
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177 | (18) |
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177 | (1) |
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178 | (4) |
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Bring Your Own Device: Bring Your Own Disaster? |
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182 | (1) |
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Mobile Device Management Software |
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183 | (3) |
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The Virtues of Virtual Private Networks |
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186 | (1) |
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The Difference Between HTTP and HTTPS |
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187 | (4) |
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191 | (2) |
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193 | (2) |
11 Designing Mobile Health Apps |
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195 | (10) |
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What Do Patients and Clinicians Need? |
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196 | (3) |
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Understand the Regulatory Environment |
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199 | (2) |
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AllEye: Learning From Failure and Success |
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201 | (2) |
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203 | (2) |
Index |
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205 | |