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title: Decision-Making Model For Remote Diagnosis and Traditional Chinese Medicine IT Systems in China
created: 2025-12-22T07:00:50+00:00
modified: 2025-12-23T03:16:54+00:00
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creator: Li Rui
subject: Telemedicine -- China
subject: Traditional Chinese medicine -- Data processing
description: 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 suppo…
publisher: Bansomdejchaopraya Rajabhat University. Office of Academic Resources and Information Technology
contributor: Prapai Sridama
contributor: Piyanan Issaravit
contributor: Kanakorn Sawangcharoen
date: 2025
created: 2505-12-22
modified: 2505-12-22
issued: 2505-12-22
type: thesis
format: application/pdf
source: TH 610.285 L768D 2025
language: eng
identifier: https://opacb.bsru.ac.th/cgi-bin/koha/opac-detail.pl
rights: Bansomdejchaopraya Rajabhat University
degree: Doctor of Philosophy in Educational Administration
degree: Doctoral Degree
degree: Digital Technology Management for Education
degree: Bansomdejchaopraya Rajabhat University

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