## 2 Materials and Methods  
To achieve the objectives outlined for this study on integrating the IoT and AI into aviation health management systems, a comprehensive approach encompassing various materials and methods will be necessary. This approach will blend theoretical research, technological development, and practical application to address the challenges and leverage the opportunities presented by the transition to advanced health management. The following is a breakdown of potential materials and methods that could be employed:  
* Conducting a comprehensive review of existing research and studies on the integration of IoT and AI in aviation and other relevant industries to understand current capabilities, limitations, and best practices. * Grounded theory as research methodology of the transition from health monitoring to health management in aviation through modern IT technologies. * Technical evaluation of the capabilities, limitations, and integration requirements of cloud computing, IoT, digital twins, and blockchain technologies within the context of aviation HM. * Developing integrated system architectures that support the seamless incorporation of the IoT and AI into aviation health management. Through these materials and methods, this study aims to forge a path toward the effective integration of IoT and AI technologies into aviation health management systems, addressing the identified challenges and fulfilling this study's objectives. This approach will facilitate the development of robust, efficient, and secure systems capable of enhancing predictive maintenance, operational efficiency, and ultimately the safety of flight operations. Grounded Theory as Research Methodology of Transition from Health Monitoring to Health Management in Aviation through Modern IT Technologies  
In the ever-evolving landscape of aviation, the shift from traditional health monitoring systems to more integrated health management systems represents a paradigm shift, propelled by advancements in modern information technology (IT) such as the IoT, AI, and others. This study employs a grounded theory approach to explore and justify the decisions necessary for this transition, aiming to develop a comprehensive theoretical framework that guides the integration and implementation of these technologies in aviation health management. Grounded theory as a research methodology is particularly suited to this study due to its iterative nature and its focus on generating theory from data systematically collected and analyzed [2]. Unlike hypothesis-driven research, grounded theory allows for the emergence of concepts and theories from the data themselves [3]. It is an established methodology for developing conceptual frameworks and models in areas with limited existing research [4]. The iterative process involves concurrently gathering data, constant comparison analysis to find patterns, developing categories and relationships through open and axial coding procedures, and integrative organization of categories into a theoretical formulation [5]. This grounded theory approach is ideal for exploring the complex, multifaceted transition to health management systems in aviation, where predefined theories may not fully capture the nuances of modern IT integration. The grounded theory approach in this study involves several key methodological steps:  
* Gathering qualitative and quantitative data from a variety of sources, including technical reports, IoT device outputs, AI model analyses, and interviews with aviation maintenance and IT experts. * Employing constant comparative analysis to identify patterns, themes, and discrepancies in the data, facilitating the emergence of grounded concepts related to the integration of the IoT and AI in health management systems. * Synthesizing the analyzed data into a coherent theoretical framework that explains the transition process, identifies critical factors for success, and anticipates future challenges and opportunities.