title: A web-based knowledge management system integrating Western and Traditional Chinese Medicine for relational medical diagnosis.
abstract: This article presents the design of a web-based knowledge management system as a training and research tool for the exploration of key relationships between Western and Traditional Chinese Medicine, in order to facilitate relational medical diagnosis integrating these mainstream healing modalities. The main goal of this system is to facilitate decision-making processes, while developing skills and creating new medical knowledge. Traditional Chinese Medicine can be considered as an ancient relational knowledge-based approach, focusing on balancing interrelated human functions to reach a healthy state. Western Medicine focuses on specialties and body systems and has achieved advanced methods to evaluate the impact of a health disorder on the body functions. Identifying key relationships between Traditional Chinese and Western Medicine opens new approaches for health care practices and can increase the understanding of human medical conditions. Our knowledge management system was designed from initial datasets of symptoms, known diagnosis and treatments, collected from both medicines. The datasets were subjected to process-oriented analysis, hierarchical knowledge representation and relational database interconnection. Web technology was implemented to develop a user-friendly interface, for easy navigation, training and research. Our system was prototyped with a case study on chronic prostatitis. This trial presented the system's capability for users to learn the correlation approach, connecting knowledge in Western and Traditional Chinese Medicine by querying the database, mapping validated medical information, accessing complementary information from official sites, and creating new knowledge as part of the learning process. By addressing the challenging tasks of data acquisition and modeling, organization, storage and transfer, the proposed web-based knowledge management system is presented as a tool for users in medical training and research to explore, learn and update relational information for the practice of integrated medical diagnosis. This proposal in education has the potential to enable further creation of medical knowledge from both Traditional Chinese and Western Medicine for improved care providing. The presented system positively improves the information visualization, learning process and knowledge sharing, for training and development of new skills for diagnosis and treatment, and a better understanding of medical diseases.
authors: Department of Industrial & Management Systems Engineering, University of South Florida, Tampa, FL, USA.
authors: Maria C
authors: MC
authors: Herrera-Hernandez
authors: Department of Industrial & Management Systems Engineering, University of South Florida, Tampa, FL, USA laiyuen@eng.usf.edu.
authors: Susana K
authors: SK
authors: Lai-Yuen
authors: Department of Computer Science & Engineering, University of South Florida, Tampa, FL, USA.
authors: Les A
authors: LA
authors: Piegl
authors: Tampa Bay Acupuncture Clinic, Tampa, FL, USA.
authors: Xiao
authors: X
authors: Zhang
keywords: Relational medical diagnosis; data collection; data organization; data storage; knowledge creation; knowledge sharing; medical research; medical training; web-based learning