無線感測網路在醫療資訊管理的應用研究

A Study of Wireless Sensor Network Applications in Medical Information Management

林俊榮(Chun-Jung Lin)

指導教授 ： 吳帆

國立中正大學/管理學院/資訊管理學系/博士(2012年)

摘要

我國政府在推動的六大新興產業中，其中一項即為醫療照護產業，並期望以資訊與通訊科技(Information and Communications Technology, ICT)產業為核心競爭力以推動六大新興產業。在醫療照護產業中的健康照護升值白金方案中，也包含了長期照護、醫療照護、國家衛生安全、國際及兩岸醫療、智慧醫療及健康促進等六大構面，未來更期望能以雲端概念實現聚合六大新興產業的構想。
而面對我國已邁向高齡社會與少子化的情況下，對長期照護、智慧生活空間及校園安全等相關研究議題也不勝枚舉。本研究主要即為探討以無線感測網路為基礎在醫療資訊管理的應用與研究，提出一個包含無線感測網路 (Wireless sensor network)、智慧型代理人 (Intelligent Agent)及人機介面 (User Interface)的資訊應用架構─WSAI，並以醫療與行政之個案應用研究結果驗證，以供醫療院所在未來導入無線感測網路相關應用時之參考。
本研究依個案醫院研究觀察獲得之結果將無線感測網路之應用分為三個部分，分別為：(1) 身分辨識、(2)訊號感測和(3) 即時定位系統。在智慧型代理人的部分，我們歸納出七種代理人型式，分別是：(1)知識擷取代理人、(2)決策判斷代理人、(3) 警報發佈代理人、(4) 狀態監控代理人、(5) 訊號收集代理人、(6) 資料查詢代理人、(7) 使用介面代理人以及(8)資料收集代理人。在使用者介面部分則整理出三種介面模式，分別是(1) 一般對話視窗、(2) 2D動態介面及(3) 3D動態介面。綜觀個案醫院的研究成果，我們整理出以下五點效益：(1)無線感測網路之建置應以實際需求部署的成本、(2) 以多媒體技術的媒體豐富特性可有效傳遞資訊並獲得較佳的溝通成效、(3)訊號收集可提供決策分析並可增加臨床治療的輔助判斷資訊、(4) 以智慧代理人替代重複的經常性工作，降低人力成本、(5) 利用決策支援的輔助，可以提供第一線醫護人員相關決策的參考。

關鍵字

無線感測網路 ； 智慧型代理人 ； 使用者介面 ； 醫療資訊管理 ； 智慧生活空間

並列摘要

In Taiwan, the government is promoting six emerging industries, one of which is the medical care industry and look forward to information and communications technology industry as the core competitiveness to promote the six emerging industries. Health care services include the six dimensions of long-term care, health care, international and cross-strait medicine, intelligent, medical, and health promotion. It hopes the cloud concept can integrate the six emerging industries in the future.
Taiwan is confronted with issues resulting from an aging society and low birth rate; thus, there are numerous issues relating to long-term care, living arrangements, and campus security issues. The recent application of wireless sensor network (WSN) technology has become a hot issue. This study is to explore the wireless sensor network-based applications in medical information management and research, and to propose a four case studies include wireless sensor networks, intelligent agent, and user interface IT application architecture ─ WSAI, medical institutions in the future for wireless sensor networks into application of the reference.
In this study, according to the case hospital observation was the result of the application of wireless sensor networks is divided into three parts, namely: (1) identity recognition, (2) signals a sense of measured and (3) real-time positioning system. In the part of intelligent agents, we summed the seven agent types, namely: (1) knowledge acquisition agent, (2) decision making agent, (3) Alarm release agent, (4) Situation Monitor agent, (5) signal collect agent, (6) Enquiry agent, (7) User interface agent, and (8) Data collection agents. Sorted out in the user interface part of the three interface modes are (1) General dialog, (2) 2D dynamic interface and (3) 3D dynamic interface. Preliminary results obtained in this study are: (1) the use of positioning technology to reduce the wireless sensor network distribution costs, (2) to characteristics of multimedia technology, media-rich information can be delivered effectively and get better communication effectiveness, (3) signal collection can provide clinical decision making and may increase aid to judge information, (4) intelligent agents to automate repetitive routine work, lower labor costs, (5) the use of decision support assistance, can provide first line health care-related decision-making reference.

並列關鍵字

wireless sensor network ； intelligent agent ； user interface ； medical information systems ； smart living space

參考文獻

53. Hsu, Yu-Min. (2006). A Medical Decision Support System Based on Laboratory Knowledge Base. M.S. Thesis, Department of Management Information System, National Pingtung University of Science & Technology, Pingtung.

69. Lin, Chun-Jung, Wang, N.P., Wang, J.F., Huang, P.C., Liu, W.T., and Wu, Fan (2009). Wireless Sensor Networks for Collecting Physiological Data: Music Therapy as a Potential Information System, The Journal of Health Sciences. 11(4), 224-234.

84. Shih, Y.T., and Chang, C.K. (2008). The Prospective of Healthcare Quality Development in Taiwan, Formosan journal of Medicine. 12(6), 685-687.

88. Su, K.K., Shue, L.Y., Wu, M.Y. and Huang, P.H. (2009). The Development of Administrative Regulations Support System with Artificial Intelligence: A case with One University’s Educational Administrative Regulations. Journal of Information Management. 16(3), 111-141.

104. Yuan, S. T. and Jhuang, J. C. (2010). A Study on BDI-based Collective Crime Prevention in Virtual Communities. Journal of Information Management. 17(2), 83-114.