Advancing Cyber-Resilience in Model-Driven Healthcare Systems Through Self-Healing Mechanisms and Techniques

1. Introduction 1.1 Background and Context 1.2 Research Objectives 1.3 Structure of the Work 2. Model-Driven Healthcare Systems 2.1 Definition and Characteristics 2.2 Current Challenges in Cyber-Resilience 2.3 Importance of Self-Healing Mechanisms 3. Cyber-Resilience Concepts 3.1 Overview of Cyber-Resilience 3.2 Best Practices in Healthcare 3.3 Case Studies of Failures 4. Self-Healing Mechanisms and Techniques 4.1 Definition and Frameworks 4.2 Types of Self-Healing Techniques 4.3 Implementations in Existing Systems 5. Integration of Self-Healing in Healthcare 5.1 Benefits of Self-Healing Mechanisms 5.2 Potential Barriers and Solutions 5.3 Comparative Analysis with Traditional Systems 6. Case Study Analysis 6.1 Methodology and Selection Criteria 6.2 Detailed Examination of Systems 6.3 Outcomes and Observations 7. Evaluation and Validation 7.1 Metrics for Effectiveness 7.2 Validation Techniques Used 7.3 Long-Term Impact Assessment 8. Conclusion and Future Directions 8.1 Summary of Key Findings 8.2 Recommendations for Practitioners 8.3 Areas for Further Research