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Intro; Contents; List of Abbreviations; List of Figures; List of Tables; 1 Introduction; 1.1 Complex Healthcare Service Systems; 1.1.1 A Conceptualization of Healthcare Service Systems; 1.1.2 Complexity and Self-Organizing Nature; 1.1.3 Interactions; 1.2 Practical Healthcare Service Management Problems; 1.2.1 Discovering the Effects of Impact Factors on Wait Times; 1.2.2 Estimating the Changes in Wait Times; 1.2.3 Designing and Evaluating Strategies for Shortening Wait Times; 1.2.4 Characterizing Spatio-Temporal Patterns in Wait Times; 1.3 A Data-Driven Complex Systems Modeling Approach

1.3.1 SEM-Based Analysis1.3.2 Integrated Prediction; 1.3.3 Service Management Strategy Design and Evaluation; 1.3.4 Behavior-Based Autonomy-Oriented Modeling; 1.4 Research Context: A Cardiac Care System in Ontario; 1.5 Structure of This Book; 2 Data Analytics and Modeling Methods for Healthcare Service Systems; 2.1 Basic Notations and Concepts; 2.2 Empirical Identification of the Relationships Between Variables; 2.2.1 Types of Relationships; 2.2.2 Multivariate Analysis; 2.3 Characterization of System Behavior; 2.3.1 Stochastic Modeling and Simulation; 2.3.2 System Dynamics

2.3.3 Individual-Based Modeling2.4 Summary; 3 Effects of Demand Factors on Service Utilization; 3.1 Introduction; 3.2 The Effects of Geodemographic Profiles; 3.2.1 Hypotheses; 3.2.1.1 The Direct Effect of Population Size on Service Utilization; 3.2.1.2 The Direct Effect of Age Profile on Service Utilization; 3.2.1.3 The Moderating Effects of Service Accessibility; 3.2.1.4 The Moderating Effects of Educational Profile; 3.2.2 The Conceptual Model; 3.3 SEM Tests and Results; 3.3.1 Aggregated Data; 3.3.2 Two-Step SEM Tests; 3.3.3 Test Results; 3.3.3.1 Measurement Model

3.3.3.2 The Effects of Population Size and Age Profile on Service Utilization3.3.3.3 The Effects of Service Accessibility and Educational Profile on Service Utilization; 3.4 Discussion; 3.5 Summary; 4 Effects of Supply Factors on Wait Times; 4.1 Introduction; 4.2 The Effects of a Unit's Characteristics on Wait Times in a Subsequent Unit; 4.2.1 Hypotheses; 4.2.1.1 Within-Unit Relationships; 4.2.1.2 Cross-Unit Relationships; 4.2.2 The Conceptual Model; 4.3 SEM Tests and Results; 4.3.1 Aggregated Data; 4.3.2 SEM Tests; 4.3.3 Test Results; 4.3.3.1 Within-Unit Relationships

4.3.3.2 Cross-Unit Relationships4.4 Discussion; 4.5 Summary; 5 Integrated Prediction of Service Performance; 5.1 Introduction; 5.2 Integrated Prediction; 5.2.1 SEM-Based Analysis; 5.2.2 Prediction; 5.2.3 Queueing Model Simulation; 5.3 Estimating the Performance of Cardiac Surgery Services; 5.3.1 Aggregated Data; 5.3.2 Relationships Between Demographic Factors and Service Characteristics; 5.3.3 Service Performance Prediction; 5.3.4 The MSMQ-EC Queueing Model; 5.3.5 Prediction Results; 5.3.5.1 The Results of SEM Tests and Service Utilization Estimation

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