賴飛羆的個人資料 - Profile of Feipei Lai

賴飛羆 Feipei Lai

國立台灣大學電機工程學系
Professor, Department of Electrical Engineering, National Taiwan University
Secretary in Medical Affairs
National Taiwan University Hospital

Professor
Graduate Institute of Biomedical Electronics and Bioimformatics
Department of Computer Science and Information Engineering
Department of Electrical Engineering
Graduate Institute of Health Policy and Management

主要研究領域:

醫療資訊

Major Research Areas:

Medical Informatics

研究領域摘要:

Research Summary:

The basic value of health information systems is to support medical related workers to deal with their
jobs more quickly and with less cost. Then, the health information systems can let organization operate
more efficiently and get its best efficiency. Finally, the systems can bring a great benefit to patients. With
the operation of the information system for a long time, there is a great amount of computerized data
stored in the system. After doing data mining focused on these data, we can extract knowledge from these
databases and bring more and more additional value. For example, if we analyze the sequence of the
medical orders and the content of the laboratory and observation and we can extract the knowledge about
the clinical pathway and clinical guideline. Therefore, we can improve the quality of the health care and
reduce the cost. If the research platform is built based on medical related standards, then the research
results can be shared to other medical related institutions.
There are numerous and various cases in the NTUH (Nation Taiwan University Hospital), and the
database contains the needed data used by data mining. Besides, the health information system in NTUH
follows many international standards such as HL7, DICOM and ICD. If we can build the research
platform based on the database and the standardized systems, then we can share the study results to other
medical institutions. On the other hand, other medical institutions can upload their data to the platform
through many standardized format of transmission, and then they can use the module of data mining and
knowledge discovery in the platform.
Keywords: health information system, data mining, knowledge discovery, clinical pathway, clinical
guideline

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Photo of Feipei Lai