Decision-Making Model For Remote Diagnosis and Traditional Chinese Medicine IT Systems in China
Traditional Chinese medicine -- Data processing
The rapid evolution of information technology (IT) has transformed global healthcare systems, introducing innovative solutions for remote medical services. In the context of Traditional Chinese Medicine (TCM), a discipline deeply rooted in holistic and individualized treatment approaches, the integration of IT presents both opportunities and challenges. This dissertation proposes a comprehensive Decision Making Model for Remote Diagnosis and Treatment Courses in Traditional Chinese Medicine IT in China, aimed at enhancing clinical decision-making, improving treatment efficiency, and ensuring the sustainability of TCM in the digital era. The proposed model is developed through a multi-disciplinary, expert-driven methodology, involving three distinct groups of professionals: 10 information technology experts, 10 TCM practitioners, and 10 experts specializing in remote diagnosis and treatment. The model was evaluated through a structured Delphi study and iterative expert consultations, ensuring that it not only reflects the latest advancements in IT infrastructure but also respects the philosophical and clinical principles inherent in TCM practice. The combined expertise of these 30 specialists resulted in a unanimous consensus affirming the scientific validity, practical feasibility, and clinical relevance of the decision-making framework. Following this foundational validation, the model was subjected to a second round of critical assessment by a higher-level expert panel consisting of 9 senior authorities, each with extensive experience and recognized leadership in their respective domains. Their unanimous approval further confirms the model’s strategic importance and readiness for practical implementation in the national TCM telemedicine system. The model features a layered structure that incorporates patient data acquisition, pattern recognition based on traditional diagnostics (such as pulse, tongue, and symptom differentiation), algorithmic decision-making supported by AI and cloud computing, and adaptive feedback mechanisms to continuously improve diagnostic accuracy and treatment outcomes. The model is particularly designed to support practitioners in rural and underserved areas, where access to high-level TCM expertise may be limited. The significance of this study lies in its ability to bridge ancient medical wisdom with contemporary digital tools, creating a hybrid framework that supports personalized care, standardized procedures, and scalable implementation. This research also addresses key challenges in remote TCM practice, such as data tandardization, practitioner training, patient engagement, and legal-ethical considerations in cross-regional telemedicine delivery. This dissertation contributes not only to academic knowledge but also offers a practical roadmap for policymakers, healthcare administrators, and medical IT developers aiming to build a more integrated and resilient healthcare system in China. Future research may expand this model to include cross-border applications, integration with Western medicine systems, and the use of big data analytics for national healthcare strategy development. Keywords: Curriculum Development; Remote Diagnosis; Treatment Courses; Traditional Chinese Medicine; Information Technology
Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology
ลิงค์ข้อมูลในระบบ Matrix
Doctor of Philosophy in Educational Administration
Digital Technology Management for Education