This book constitutes the thoroughly refereed post-conference proceedings of the First International Conference on Electronic Healthcare for the 21st century, eHealth 2008, held in London, UK, in September 2008. Organized as a meeting point for telecare product vendors, policy makers, government ministers, academics, clinicians and all those involved in electronic and mobile health the eHealth conference provides a forum to examine and to share ideas contributing to the advancement of telecare into the 21st century. 

The 21 revised full papers and 8 revised short papers presented together with 1 invited lecture were carefully reviewed and selected from the presentations at the conference. The papers cover various topics such as data mining for personalized healthcare services, healthcare supply chain management and implementing the electronic health record, diagnostics and intelligent real-time monitoring, human factors, policies, regulations and standards, interoperability solutions, security, privacy, trust and risk management, as well as novel telecare products. This volume is the first in the LNICST series that aims at serving the scientific community at large by deploying digital age access and use of information tools by putting knowledge in the service of digital economy and quality of life.

1;Title Page;22;Preface;53;Organization;64;Table of Contents;85;Full Papers;85.1;Continuous Monitoring of Children with Suspected Cardiac Arrhythmias;115.1.1;Introduction;115.1.2;Example Cases;125.1.3;Methodology;135.1.4;System Architecture;155.1.5;Concluding Remarks;175.1.6;References;185.2;An Evaluation Framework for EU Research and Development e-Health Projects' Systems;195.2.1;Introduction;195.2.2;Aims and Objectives;205.2.3;Methodology;215.2.3.1;STEP ONE: Evaluating the System's Architecture;215.2.3.2;STEP TWO: Evaluating the System's Software;225.2.3.3;STEP THREE: Evaluation of the Prototype;245.2.4;SAPHIRE Results;245.2.4.1;Architecture Analysis of SAPHIRE;245.2.4.2;SAPHIRE Software Evaluation Metrics;255.2.4.3;SAPHIRE Prototype Evaluation;255.2.5;Business Benefits - Conclusions;255.2.6;References;265.3;Health@Home - An e-Service Model for Disease Prevention and Healthcare in the Home;275.3.1;Introduction;275.3.2;Stakeholders in Home-Based Prevention and Healthcare;285.3.3;The Health@Home Service Model;295.3.4;Feasibility and Mid-Term Implementation Prospects;325.3.5;Conclusions;345.3.6;References;345.4;Agent-Based Simulation of Emergency Departments with Patient Diversion;355.4.1;Introduction;355.4.2;Applications;365.4.2.1;Local Area Patient Tracking;365.4.2.2;Wide Area ED Scenario;375.4.3;Visual Simulation Suite;385.4.3.1;Emergency Department Model;395.4.3.2;Basic Architecture;405.4.3.3;Data Driven Simulation;415.4.4;Simulations;425.4.4.1;Staffing Change Scenario;425.4.4.2;Data Infrastructure Scenario;445.4.5;Summary;465.4.6;References;465.5;Weird Project: E-Health Service Improvement Using WiMAX;485.5.1;Introduction;485.5.2;Service Framework;495.5.3;Equipment and Network Evolution;525.5.4;Privacy and Data Integrity;535.5.5;Telecommunication Technology;535.5.6;Weird Applications Scenario;545.5.7;E-Health Demo Scenarios;555.5.8;Conclusion;565.5.9;References;585.6;Data Management in an Intelligent Environment for Cognitive Disabled and Elderly People;605.6.1;Introduction;605.6.2;Project Principal Objectives;615.6.3;Platform Functionality;615.6.4;Data Management Mechanisms;635.6.4.1;Frame Sensor Adapter (FSA);635.6.4.2;Context Management;655.6.4.3;Enterprise Service Bus - ESB;655.6.5;Conclusions;665.6.6;References;675.7;3P: Personalized Pregnancy Prediction in IVF Treatment Process;685.7.1;Introduction;685.7.1.1;Machine Learning Methods in IVF Data Analysis;695.7.1.2;Proposed System for Embryo Implantation Prediction;695.7.2;Dataset Characteristics;705.7.3;SVM Classification;715.7.3.1;Performance Measures;725.7.4;Experiments and Results;735.7.4.1;Threats to Validity;745.7.5;Conclusions and Future Work;745.7.6;References;745.8;Bridging the Self-care Deficit Gap: Remote Patient Monitoring and the Hospital-at-Home;765.8.1;Introduction;765.8.2;Methods;775.8.3;Results;795.8.4;Discussion;805.8.5;Conclusion;825.8.6;References;835.9;Cognitive Network Infrastructures and Virtualization Platforms in Support of Healthcare Applications;845.9.1;Introduction;845.9.2;Indicative Healthcare Scenario;855.9.3;Wireless, B3G Systems;875.9.4;Service-Oriented Management Platform for Offering Virtualization and Cognition;885.9.5;Summary and Conclusions;905.9.6;References;915.10;Device Data Protection in Mobile Healthcare Applications;925.10.1;Introduction;925.10.2;Mobile Healthcare Architecture;945.10.3;Security Capsule Architecture;955.10.3.1;Request and Retrieval Unit;965.10.3.2;Identity Management Unit;965.10.3.3;Token Management Unit;965.10.3.4;Storage Unit;965.10.3.5;Decryption and Processing Unit;975.10.4;Token Management;975.10.4.1;Registration Token;985.10.4.2;Authorization Token;985.10.4.3;Trust Token;985.10.5;Conclusion;985.10.6;References;995.11;Persuasive Mobile Health Applications;1005.11.1;Introduction;1005.11.2;Heart Angel;1015.11.2.1;Connectivity;1025.11.2.2;Cardio-Respiratory Workouts;1025.11.2.3;Persuasive Physical Ex