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Introduction

In recent years, telehealth services have become increasingly popular as a means of delivering medical care remotely. With the advancements in technology, patients can now receive consultations, diagnoses, and treatment from the comfort of their own homes. However, the success of telehealth services relies heavily on customer satisfaction. Understanding and predicting customer satisfaction in telehealth services is crucial for the success and sustainability of these services. This thesis aims to explore the factors that influence customer satisfaction in telehealth services and develop a predictive model to forecast customer satisfaction levels.

Chapter 1: Introduction
1.1 Introduction
1.2 Background of Study
1.3 Problem Statement
1.4 Objective of Study
1.5 Limitation of Study
1.6 Scope of Study
1.7 Significance of Study
1.8 Structure of the Thesis
1.9 Definition of Terms

Chapter 2: Literature Review
2.1 Overview of Telehealth Services
2.2 Customer Satisfaction in Healthcare
2.3 Factors Influencing Customer Satisfaction in Telehealth Services
2.4 Predictive Modeling in Healthcare
2.5 Existing Models for Customer Satisfaction Prediction
2.6 Technology Acceptance Model
2.7 Service Quality in Telehealth
2.8 Patient Trust and Satisfaction
2.9 Patient Engagement in Telehealth
2.10 Summary of Literature Review

Chapter 3: Research Methodology
3.1 Research Design
3.2 Data Collection Methods
3.3 Sampling
3.4 Data Analysis Techniques
3.5 Development of Predictive Model
3.6 Validation of Predictive Model
3.7 Ethical Considerations
3.8 Reliability and Validity
3.9 Limitations of Methodology

Chapter 4: Discussion of Findings
4.1 Descriptive Statistics
4.2 Analysis of Factors Influencing Customer Satisfaction
4.3 Evaluation of Predictive Model
4.4 Comparison with Existing Models
4.5 Implications for Telehealth Services
4.6 Recommendations for Future Research

Chapter 5: Conclusion and Summary
5.1 Summary of Findings
5.2 Conclusion
5.3 Implications for Practice
5.4 Recommendations for Policy
5.5 Limitations of the Study
5.6 Future Research Directions

Thesis Overview:

Predicting customer satisfaction in telehealth services is crucial for ensuring the success and sustainability of remote healthcare delivery. This thesis aims to explore the factors that influence customer satisfaction in telehealth services and develop a predictive model to forecast customer satisfaction levels. The literature review will provide a comprehensive overview of telehealth services, customer satisfaction in healthcare, and existing models for customer satisfaction prediction. The research methodology will outline the research design, data collection methods, and data analysis techniques used in developing the predictive model. The discussion of findings will present the results of the analysis, evaluate the predictive model, and provide recommendations for telehealth services. The conclusion and summary will summarize the findings, discuss the implications for practice and policy, and suggest future research directions. Overall, this thesis seeks to contribute to the field of telehealth services by enhancing our understanding of customer satisfaction and providing practical insights for improving service delivery.

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