Welcome |
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Part One: Wearables for Healthcare |
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Chapter 1 Wearables and the IoT for Healthcare |
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1 | (6) |
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Chapter 2 Types of Wearables |
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7 | (14) |
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8 | (2) |
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Exploring Brain Health: The Inevitable Rise of Brain Wearables |
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10 | (4) |
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11 | (1) |
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12 | (1) |
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13 | (1) |
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Case Study: Precise RTLS in Healthcare Can Yield New Understanding and Unexpected Benefits |
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14 | (2) |
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15 | (1) |
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Case Study: Smart Rehabilitation for the 21st century |
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16 | (5) |
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19 | (2) |
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Chapter 3 Wearables for Professionals |
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21 | (24) |
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21 | (3) |
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22 | (2) |
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24 | (1) |
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24 | (1) |
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24 | (1) |
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Modern Wearable Operating Room Technology |
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25 | (1) |
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25 | (1) |
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Head Mounted Wearable Computers |
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25 | (1) |
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Wearable Operating Room Technology in the Future |
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26 | (5) |
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Wearables - Implantables and Invisibles |
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31 | (2) |
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Virtual Reality Gets Personal in Healthcare |
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33 | (4) |
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Case Study: Secure Smartphones Optimize Care Collaboration and Coordination |
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37 | (8) |
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37 | (1) |
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38 | (1) |
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38 | (2) |
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40 | (1) |
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40 | (2) |
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42 | (1) |
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43 | (2) |
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Chapter 4 Wearables in the Healthcare Enterprise |
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45 | (36) |
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46 | (1) |
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Wearables in the Healthcare Enterprise |
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47 | (11) |
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47 | (1) |
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48 | (1) |
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49 | (1) |
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50 | (1) |
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51 | (1) |
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52 | (1) |
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53 | (2) |
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55 | (1) |
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56 | (1) |
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56 | (1) |
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57 | (1) |
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Case Study: Seeing New Opportunity-Cardinal Health Inventory Management Solutions Optimize the Supply Chain |
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58 | (4) |
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Taking Control of the Future |
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58 | (1) |
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58 | (1) |
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Tracking Products, Setting Pars |
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59 | (2) |
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61 | (1) |
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Improving Supplier Relations |
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61 | (1) |
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Case Study: Celebration Health-Florida Hospital Pioneers Use of RTLS and Business Intelligence to Improve Nursing Workflows |
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62 | (4) |
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62 | (1) |
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63 | (1) |
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63 | (1) |
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64 | (2) |
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Case Study: Geisinger Tracks Patients with Disposable RTLS Wristband Tags |
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66 | (5) |
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Accurate, Real Time Patient Location |
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66 | (2) |
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An Extendable Technology Solution |
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68 | (1) |
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"Smarter" RTLS in the "Smart" Hospital |
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69 | (2) |
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Extendable Workflow Solutions |
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69 | (1) |
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Remote Patient Monitoring |
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70 | (1) |
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70 | (1) |
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Business Intelligence and Modeling |
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70 | (1) |
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Case Study: The Value of Enterprise-Grade Operation Intelligence |
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71 | (10) |
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71 | (1) |
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71 | (1) |
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72 | (1) |
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Description of the Innovative Activity |
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72 | (1) |
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Selecting Hardware and Software |
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73 | (1) |
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73 | (1) |
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74 | (1) |
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Case Study: Health System Overview |
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75 | (15) |
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76 | (1) |
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76 | (1) |
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EHR Accessibility at the Point of Care |
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76 | (1) |
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Providing Wall-To-Wall Wi-Fi Coverage |
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76 | (1) |
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Supporting Biomedical Devices on the Wireless Network |
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77 | (1) |
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The Extreme Networks Solution |
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78 | (3) |
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Chapter 5 Wearables for Chronic Disease |
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81 | (24) |
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82 | (1) |
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83 | (5) |
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88 | (1) |
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88 | (1) |
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89 | (1) |
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Case Study: The Health Impact of Intelligent Home |
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90 | (15) |
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90 | (1) |
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90 | (1) |
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91 | (4) |
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92 | (1) |
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92 | (1) |
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93 | (2) |
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95 | (2) |
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95 | (1) |
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95 | (1) |
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96 | (1) |
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Future Research & Collaboration |
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97 | (1) |
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98 | (1) |
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99 | (1) |
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99 | (1) |
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100 | (3) |
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103 | (1) |
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103 | (2) |
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Chapter 6 Global Best Practices and Evidence of Healthcare Outcomes Using Wearable Devices |
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105 | (16) |
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106 | (2) |
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Results from Early Pilots are Encouraging |
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108 | (2) |
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Success Requires Careful Planning to Overcome Challenges |
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110 | (4) |
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Best Practices from Early Pilots Emerge |
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114 | (1) |
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115 | (1) |
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Case Study: Extreme Networks Purview Solution Improves Customer Satisfaction & Delivers Better Patient Outcomes |
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116 | (5) |
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116 | (1) |
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116 | (1) |
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Extreme Networks Solution |
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117 | (1) |
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117 | (4) |
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121 | (12) |
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122 | (1) |
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123 | (7) |
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Chronic Care Management and Reimbursement-Policy meets practice |
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123 | (3) |
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HIPAA and Wearables in a Consumer Driven World |
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126 | (1) |
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Unique Device Identifiers: Is there a need? |
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127 | (1) |
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Policy Impact: Research and Clinical Applications |
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128 | (1) |
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Aggregating Physiological and Social Determinants of Health |
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129 | (1) |
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Data Integrity and Data Management |
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129 | (1) |
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Digital Consent and Marketing |
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130 | (1) |
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Industry and Academic Uncertainty and IRB Requirements |
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130 | (3) |
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131 | (2) |
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Chapter 8 Standards and Security |
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133 | (26) |
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134 | (2) |
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136 | (6) |
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136 | (1) |
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137 | (1) |
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International Health Enterprise (IHE), Patient Care Devices (PCD) |
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137 | (1) |
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Industrial Internet Consortium (IIC) |
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138 | (1) |
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138 | (1) |
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138 | (1) |
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Open mHealth (non recognized Standard) |
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139 | (1) |
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Food and Drug Administration (FDA) |
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140 | (1) |
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Federal Communication Commission (FCC) |
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140 | (1) |
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141 | (1) |
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142 | (10) |
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147 | (1) |
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147 | (1) |
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148 | (1) |
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148 | (1) |
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Unique Device Identifier (UDI) |
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149 | (1) |
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149 | (1) |
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150 | (1) |
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150 | (1) |
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150 | (1) |
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International Consideration |
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151 | (1) |
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151 | (1) |
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152 | (4) |
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152 | (1) |
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152 | (2) |
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154 | (1) |
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155 | (1) |
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156 | (1) |
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157 | (2) |
Part Two: Wearables and the IOT |
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159 | (99) |
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160 | (4) |
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160 | (1) |
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Managing IoT Transformation within the mHealth Ecosphere |
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160 | (2) |
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Anticipating and Mitigating Risk: Things to Watch Out For |
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162 | (5) |
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162 | (1) |
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162 | (1) |
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162 | (2) |
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164 | (29) |
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164 | (3) |
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Capitalizing on the IoT with Visibility and Intelligence |
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167 | (6) |
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IoT: Opportunities and Challenges |
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168 | (2) |
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168 | (1) |
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168 | (2) |
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Enterprise Asset Intelligence |
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170 | (1) |
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Enables Businesses to Capitalize on the IoT |
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170 | (1) |
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Five Essentials for Deploying IoT |
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170 | (3) |
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170 | (1) |
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171 | (1) |
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172 | (1) |
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Case Study: How the Collective Can Keep Us Healthy by using IOT-Enabled Mobile Healthcare Solutions |
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173 | (9) |
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180 | (2) |
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Case Study: Forget Smart Phones-What You Need Are Smart Pumps |
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182 | (4) |
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182 | (1) |
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183 | (1) |
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DoseTrac Real Time and Retrospective Data |
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183 | (2) |
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185 | (1) |
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Case Study: Smart Pumps: Achieving 100% Drug Library Compliance & Averting Medication Errors |
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186 | (7) |
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186 | (1) |
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186 | (1) |
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186 | (1) |
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186 | (1) |
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187 | (1) |
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187 | (1) |
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188 | (1) |
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188 | (2) |
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190 | (1) |
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190 | (1) |
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190 | (3) |
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Chapter 10 The IoT and Big Data |
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193 | (18) |
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The Internet of Things and Big Data in Healthcare |
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118 | (84) |
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199 | (1) |
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200 | (1) |
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200 | (1) |
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201 | (1) |
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Case Study: The IoT and Big Data in Healthcare Unleashing the Next Generation of Value Creation |
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202 | (8) |
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210 | (1) |
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211 | (24) |
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212 | (1) |
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213 | (19) |
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Connected devices, predictive analytics, and a certain future |
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213 | (1) |
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Overview and thesis: The promise |
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214 | (4) |
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Review of our current state |
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In the marketplace, wearables are primitive coaches, not predictors of health risk |
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216 | (1) |
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Three types of hardware drive the current market and affect analytical evidence |
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217 | (1) |
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Consumer-facing companies struggle to understand physiological and activity data |
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218 | (1) |
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What the consumer companies are doing |
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219 | (1) |
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Chief medical information officer challenges big consumer companies |
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220 | (1) |
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Big insights are fueled by small signals |
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221 | (3) |
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Banner Health System stalks the future with Philips |
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224 | (1) |
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Predictive analytics from home-based signals are at the core of the solution |
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225 | (2) |
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Controlled environments in academia give us important evidence |
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227 | (1) |
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228 | (1) |
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229 | (1) |
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230 | (2) |
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Case Study: DaVincian Healthcare and HelloDoctor24x7 Bring Lifesaving Healthcare to Remote Reaches of India |
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232 | (3) |
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Chapter 12 The Future of Wearables and the IoT in Healthcare |
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235 | (18) |
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236 | (2) |
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From Wearable Sensors to Smart Implants |
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238 | (3) |
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240 | (1) |
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Connecting Implantable Devices - The Next Iteration of Wearables? |
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241 | (12) |
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241 | (2) |
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History Of Implantable Technology For Remote Patient Monitoring |
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243 | (2) |
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Device and Accessory Regulation |
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245 | (1) |
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246 | (1) |
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247 | (2) |
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The Road to Commercialization |
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249 | (2) |
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The Future of Implantables |
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251 | (2) |
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Chapter 13 Roundtable Discussion: The Outlook for Wearables and the IoT in Healthcare |
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253 | (5) |
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254 | (4) |
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255 | (3) |
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255 | (1) |
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255 | (1) |
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256 | (1) |
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256 | (1) |
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257 | (1) |
Contributors |
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258 | (14) |
Contact Us |
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