賴飛羆教授的個人資料 - Profile of Feipei Lai

賴飛羆 Feipei Lai

國立台灣大學電機工程學系 教授
臺大醫院 醫務秘書
臺灣大學 生醫電子與資訊學研究所 教授
臺灣大學 資工系 教授
臺灣大學 醫療器材與醫學影像研究所 教授
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:

醫療資訊系統的價值在於協助醫護人員用較快速度及較少的成本處理醫療事務,可讓組織有
效率的運作發揮組織最大的功能,造福更多病患;隨著資訊系統長期運作,在系統背後累積大量
的電腦化數據,如能進一步進行資料探勘,則可將原始資料(Data)轉化成有用的知識(Knowledge),
產生更大的附加價值;例如分析醫令順序以及檢驗、檢查內容可以探勘出臨床路徑(Clinical pathway)
及臨床指引(Clinical guideline),如此能進一步提升醫療品質及降低醫療成本。如能採用醫療資訊相
關標準進行研究平台的建立,則研究成果可分享給其他的醫療機構應用。
就台大醫院而言,其醫療案例既多且廣,已具初步資料探勘所需資料,且台大醫院之醫療資
訊系統遵循HL7、DICOM、ICD 等國際標準,若能以此資料庫及標準化的系統為基礎建立研究平
台,並將研究成果以標準化的方式表示,則能將此成果分享給其他醫療機構。另一方面,其他醫
療機構之資料也能經標準化的格式傳輸至此研究平台,使用平台上的資料探勘、知識發現等模組。
關鍵詞: 醫療資訊系統,資料探勘,知識發現,臨床路徑,臨床指引

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