TABLES, FIGURES, and EXHIBITS

Tables

Table 4.1 Barriers to Implementing Electronic Databases
Table 4.2 Health Information Privacy Principles
Table 5.1 Tan's Health Information Processing System and CDC-Provided Information Technology Specifications for Emergency and Bioterrorism Preparedness
Table 6.1 Nominal Bandwidth Requirements for Different Telemedicine Applications
Table 6.2 Nominal File Sizes of Common Medical Images
Table 7.1 E-Rehabilitation Applications at Integris Jim Thorpe Rehabilitation Center
Table 7.2 Clinical E-Rehabilitation Encounters at Integris Jim Thorpe Rehabilitation Center
Table 8.1 Major Socioeconomic and Health Indicators of Ethiopia and Sub-Saharan Africa
Table 8.2 Information and Communication Technology for Health in Ethiopia
Table 10.1 Decision Outcomes Included in Diagnosis Support System
Table 10.2 Question Items Included in Diagnosis Support System
Table 10.3 Evaluation Framework for an E-Diagnosis Support System
Table 10.4 Comparative Analysis of Performance: E-Diagnosis Support System Versus Human Experts
Table 10.5 Summary of Clinical Efficacy Evaluation Results for E-Diagnosis Support System
Table 11.1 Types of Attributes After Their Ascent in the Concept Hierarchy
Table 11.2 Attributes of Health Care Providers
Table 11.3 Results of Clustering Health Care Providers
Table 11.4 Comparison of the Clustering Results of Original and Optimal Concept Spaces
Table 11.5 Average and Standard Deviation of Credibility Scores
Table 12.1 E-Health Business Structures
Table 12.2 Opportunities for E-Stakeholders
Table 12.3 Challenges for E-Stakeholders
Table 12.4 E-Health Value Propositions
Table 13.1 Critical Attributes for Health Care Technology Management from Content Analysis
Table 13.2 Revised Model of Indicators
Table 13.3 Gap Score Differences Between Cluster 1 and Cluster 2
Table 13.4 Indicator Distribution
Table 14.1 Sample Data for Hospital
Table 14.2 Sample Data for Treatment
Table 14.3 Sample Data for Pharmacy
Table 14.4 Sample Data for Medicare
Table 14.5 An Integrated View of Hospital, Treatment, Pharmacy, and Medicare
Table 15.1 E-Technologies in Various Sectors of the Health Care Industry

Figures

Figure 1.1 Electronic Data Interchange Technology
Figure 1.2 Wisconsin Health Information Network (WHIN)
Figure 2.1 E-Health Care Systems and Subsystems
Figure 3.1 A Rich Picture of an E-Multicommunity Health Promotion Project
Figure 4.1 Conceptualization of Electronic Health Records
Figure 5.1 Model of E-Public Health Information System
Figure 5.2 The Convergence of Geographical Information Systems, Public Health Preparedness and Response, and Epidemiological Surveillance
Figure 5.3 An Integrated GIS-Based Public Health Preparedness System
Figure 6.1 E-Networking for E-Consumer Informatics
Figure 6.2 Comparison of Three E-Network Configurations
Figure 8.1 E-Medicine as an Information Clearinghouse
Figure 8.2 Conceptual Framework of Issues in Telemedicine Transfer in Ethiopia
Figure 8.3 Effects of National ICT Policies on E-Medicine Transfer Outcomes
Figure 8.4 Effects of ICT Infrastructure on E-Medicine Transfer Outcomes
Figure 8.5 Effects of E-Medicine Implementation Factors on E-Medicine Transfer Outcomes
Figure 8.6 Effects of Culture on E-Medicine Transfer Outcomes
Figure 10.1 SOAP: A Common Service Process for Managing Patients with Lower Back Pain
Figure 10.2 Architecture of a Web-Based Diagnosis Support System
Figure 10.3 A Diagnostic Interface That Uses Nonmedical Terms and Graphs to Represent Symptoms
Figure 11.1 Examples of Concept Hierarchies at a University
Figure 11.2 One Possible Scenario After the Ascent of a Nominal Attribute (Cluster B Moves Toward Cluster A)
Figure 11.3 Another Possible Scenario After the Ascent of a Nominal Attribute (Cluster A Shrinks)
Figure 11.4 Three Possible Scenarios After the Ascent of an Interval or Ordinal Attribute
Figure 11.5 Constructive Clustering Analysis Algorithm
Figure 11.6 Concept Hierarchies for Clustering Health Care Providers
Figure 12.1 Stakeholders in the E-Health Marketplace
Figure 13.1 Technology Management Framework
Figure 14.1 Architecture of E-Health Data Integration
Figure 14.2 Sample Schema for E-Health Data Integration
Figure 16.1 Traditional Process for Analysis of Users' Information Requirements
Figure 16.2 Accountability Expectations Framework for E-Health Innovations

Exhibits

Exhibit 1.1 Video Image of a Baby as Transmitted Through the Telebaby Video Circuit
Exhibit 1.2 Telebaby Login Screen
Exhibit 1.3 Telebaby Camera Overview Menu
Exhibit 1.4 Parents at Home, with On-Line Telebaby Connection
Exhibit 1.5 Duration and Frequency of Telebaby Use
Exhibit 3.1 Precede-Proceed Model Applied to E-Health Intervention
Exhibit 5.1 Indexes for Community Health Profile
Exhibit 5.2 Community Health Profile
Exhibit 6.1 Mobile Bluetooth Telemedicine System
Exhibit 6.2 Data Flow in Unconfined Mobile Bluetooth Nursing System
Exhibit 6.3 Security Architecture for Bluetooth Local Area Network Access
Exhibit 6.4 Using a Covert Channel to Transfer Medical Images
Exhibit 8.1 Major E-Medicine Programs in Taiwan
Exhibit 11.1 Performance of Incremental Neural Networks in Six Experimental Groups
Exhibit 11.2 Incremental Ratio and Time Reduction Ratio of the Tested Classes
Exhibit 12.1 Information Systems and Health Care Research Works
Exhibit 13.1 The Importance of Dichotomous Measures of Effect
Exhibit 13.2 Chapter Introduction to Clinical Evidence
Exhibit 14.1 Processing at the Transmission End (top) and the Receiving End (bottom), Using the I-SEE Framework
Exhibit 14.2 Rate and Distortion Curves for Images, by Number of Consecutive LSBs Selected for Encoding
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