A Data-Mining Framework for Transnational Healthcare System

  • Authors:

  • Chia-Ping Shen;Chinburen Jigjidsuren;Sarangerel Dorjgochoo;Chi-Huang Chen;Wei-Hsin Chen;Chih-Kuo Hsu;Jin-Ming Wu;Chih-Wen Hsueh;Mei-Shu Lai;Ching-Ting Tan;Erdenebaatar Altangerel;Feipei Lai

  • Affiliations:

  • Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan 106 and Department of Information Systems Office, National Taiwan University Hospital, T ...;Department of Hepatobiliary-pancreatic Surgery, Mongolian National Cancer Center, Ulaanbaatar, Mongolia;Computer Science and Management School, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia;Computer and Information Networking Center, National Taiwan University, Taipei, Taiwan;Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan 106 and Department of Information Systems Office, National Taiwan University Hospital, T ...;Department of Information Systems Office, National Taiwan University Hospital, Taipei, Taiwan;Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan 106 and Department of Surgery, National Taiwan University Hospital, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan;Institute of Preventive Medicine, National Taiwan University Hospital, Taipei, Taiwan;Department of Otolaryngology, National Taiwan University Hospital, Taipei, Taiwan;Computer Science and Management School, Mongolian University of Science and Technology, Ulaanbaatar, Mongolia;Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan 106 and Department of Computer Science and Information Engineering, National Taiwan Univ ...

  • Venue:
  • Journal of Medical Systems
  • Year:
  • 2012

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Abstract

Medical resources are important and necessary in health care. Recently, the development of methods for improving the efficiency of medical resource utilization is an emerging problem. Despite evidence supporting the use of order sets in hospitals, only a small number of health information systems have successfully equipped physicians with analysis of complex order sequences from clinical pathway and clinical guideline. This paper presents a data-mining framework for transnational healthcare system to find alternative practices, including transfusion, pre-admission tests, and evaluation of liver diseases. However, individual countries vary with respect to geographical location, living habits, and culture, so disease risks and treatment methods also vary across countries. To realize the difference, a service-oriented architecture and cloud-computing technology are applied to analyze these medical data. The validity of the proposed system is demonstrated in including Taiwan and Mongolia, to ensure the feasibility of our approach.