臺灣博碩士論文加值系統

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。

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.

Chapter 1. Introduction 1
1.1 Background 1
1.2 Research Problems & Purposes of the Dissertation 4
1.3 Research Scope 4
1.4 Importance of the Dissertation 4
1.5 Contributions of the Dissertation 5
Chapter 2. Literature Review 6
2.1 Wireless Sensor Network 6
2.2 Intelligent Agent 10
2.3 User Interface 16
CHAPTER 3. WSAI architecture 19
CHAPTER4. Case Introduction & Research Design 26
3.1 Introduction to Case Hospital 26
3.2 System Development 28
3.3 The case study process 29
CHAPTER 5. Case Study of Administration 32
4.1 Operating room management 32
4.2 Wireless Sensor Temperature Monitoring System 37
4.3 System Evaluation 42
CHAPTER 6. Case Study of clinical care 44
5.1 Music therapy aid 44
5.2 Long term care management 55
5.3 System Evaluation 63
CHAPTER 7. Conclusion and Future Work 65
7.1 Conclusion 65
7.2 Contribution 68
7.2.1 Contribution to academia 68
7.2.2 Contribution to practitioners 69
7.2.3 Limitation of the Study 70
7.3 Future work 70
Reference 71

1.2004 JCAHO National Patient Safety Goals Approved. Joint Commission Perspectives 2003. 23(9), 1-3.
2.Anbarasan, A., Uma, G.V. and Karunakaran, K. (2007). Construction of ontology based intelligent decision support system used for water resources. Asia Journal of Information Technology. 6(1), 105-111.
3.Alan J., Marin P., and Dragan G. (2007). Ontologies in Medical Knowledge Representation. Information Technology Interfaces, 29th International Conference, IEEE. 535-540.
4.American Psychiatry Association (1994). Quick Reference to the Diagnostic Criteria. Washington, D. C.: American Psychiatry Association.
5.Bratman, M.E. (1987). Intentions, Plans, and Practical Reason, Harvard Unviersity, Cambridge.
6.Bratman, M.E., Israel, D. J., and Pollack, M. E. (1988). Plans and Resource-Bounded Practical Reasoning. Computational Intelligence. 4(3), 349-355.
7.Nappi, B. (2004). RFID 2003 Patent Report. Technology Report.
8.Brennan T.A. (2000). The Institute of Medicine Report on Medical Errors--Could It Do Harm? The New England Journal of Medicine. 342, 1123-1125.
9.Cedric G. (2007). The corporate knowledge power for decision support systems. Master’s thesis, University of Karlsruhe.
10.Chang, C.H. (2010). Diabetes Care Decision Support System， M.S. Thesis, Department of Information Management, Chang Jung Christian University, Tainan.
11.Chang, H.H. (2006). The Application of the Task-Technology Fit Model to Consumer Acceptance of Internet Intelligence Agent. Journal of Information Management. 13(1), 271-307.
12.Chiu, Chien-Tzu. (2009). Influence of a Novel Clinical Decision Support System on Duplicated Medication at Medical Center. M.S. Thesis, Graduate Institute of Clinical Pharmacy, National Taiwan University, Taipei.
13.Chang Chien, Leng-Kang. (2008). The research on synchronization among the law check systems based on semantic web techniques: example by using NHI drugs laws and clinical drugs order checking system. M.S. Thesis, Department of Information Management, Southern Taiwan University, Tainan.
14.Chassin, M.R., Kosecoff, J., Park, RE. (1987). Does inappropriate use explain geographic variations in the use of health services: A study of three procedures. The Journal of the American Medical Association. 258(18), 2533-2537.
15.Chassin, M.R., Galvin, R.W. (1998). The urgent need to improve health care quality. The Journal of the American Medical Association. 280(11), 1000-1005.
16.Chau, Patrick Y.K., and Hu, Paul J.H. (2002). Investigating Healthcare Professionals' Decisions to Accept Telemedicine Technology: An Empirical Test of Competing Theories. Information & Management. 39, 297-311.
17.Chen, Hsiu-Mei. (2004), Utilization of Community Long-term Care Service by the Dementia and Factors Affecting their Utilization。M.S. Thesis, Graduate Institute of Long-Term Care, National Taipei University of Nursing and Health Science, Taipei.
18.Chuang, Chin-wei. (2010). Decision Support Systems for Nursing Diagnosis Based on Gordon’s Function Health Patterns，M.S. Thesis, Institute of Biomedical Engineering, Southern Taiwan University, Tainan.
19.Coury, D. V., Thorp, J.S., Hopkinson, K. M., and Birman, K. P. (2002). An Agent-Based Current Differential Relay for Use With a Utility Intranet. IEEE Transactions on Power Delivery. 17(1), 47-53.
20.Dejan L., Rok R., Marko B., and Marjan K. (2007). Agent Oriented Approach for Integration of BI Systems. Information Technology Interfaces. 29th International Conference, IEEE.
21.Erdonmez D., Morley JB. (1981). Preservation of acquired music performance functions with a dominant hemisphere lesion: a case report, Clin Exp Neurol. 18, 102-108.
22.Ferber, J. (1999). Multi-agent Systems: An Introduction on Distributed Artificial Intelligence. Addison-Wesley Longman, New York.
23.Fazlollahi, B., Parikh, M.A., Verma, S. (1997). Adaptive Decision Support Systems. Decision Support System. 20(4), 297-315.
24.Georgeff, M.P., and Lansky, A. L. (1987). Reactive Reasoning and Planning. In Proceedings of the Sixth National Conference on Artificial Intelligence, Seattle. 677-682.
25.Georgeff, M.P., Pell, B., Pollack, M. E., Tambe, M., Wooldridge, M. (1998). The Belief-Desire-Intention Model of Agency. In Proceedings of the Fifth International Workshop on Intelligent Agents V: Agent Theories, Architectures, and Languages.
26.Gerdner LA, Swanson EA. (1993). Effects of individualized music on confused and agitated elderly patients. Arch Psychiatr Nurs. 7, 284-291.
27.Giesen, E., Ketter, W., Zuidwijk, R. (2009), AN AGENT-BASED APPROACH TO IMPROVING RESOURCE ALLOCATION IN THE DUTCH YOUTH HEALTH CARE SECTOR. In Proceedings of the European Conference on Information Systems (ECIS). 2403-2415.
28.Gomez, E.J., Pozo, F.D., Quiles, J.A., Arredibdim, M.T., Ragnsm, H., Sabzm, M., Cano, P. (1996). A telemedicine system for remote cooperative medical imaging diagnosis. Computer Methods and Programs in Biomedicine. 49, 37-48.
29.Grimson, J., Grimson, W., and Hasselbring, W. (2000). The SI challenge in health care. Communications of the ACM. 43(6), 49-55.
30.Hardeep, V. J. (1997). SoftCord: An Intelligent Agent for Coordination in Software Development Projects. Decision Support Systems. 20, 65-81.
31.Hayes, C. C. (1999). Agents in a Nutshell-A Very Brief Introduction. IEEE Transactions on Knowledge and Data Engineering. 11(1), 127-132.
32.Huang, M.S. and Lu, H.W. (2006). Applications of An Intelligent Agent-based Knowledge base System for Software Cost Estimation and Control. Journal of Information Management. 13(1), 137-167.
33.Intille, Stephen S. (2004). A New Research Challenge: Persuasive Technology to Motivate Healthy Aging. IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. 8(3), 235-238.
34.Johnson, C.M., Johnson, T.R. and Zhang, J. (2005). A User-Centered Framework for Redesigning Health Care Interfaces. Journal of Biomedical Informatics. 38,75-87.
35.JCAHO (2003). National Patient Safety Goals Approved. Joint Commission Perspectives 2003. 23(9), 1-3.
36.Joseph E.Hoag and Craig W. Thompson (2006). Architecting RFID Middleware. IEEE Internet Computing. 10(5), 88-92.
37.Kinny, D., Georgeff, M. P., and Rao, A. (1996). A Methodology and Modeling Technique for Systems of BDI Agents. In Proceedings of the Seventh European Workshop on Modeling Autonomous Agents in a Multi-Agent World, Eindhoven.
38.Kushniruk, A.W., Patel, V.L., and Cimino, J.J. (1997). Usability Testing in Medical Informatics: Cognitive Approaches to Evaluation of Information Systems and User Interfaces. Proceedings of the AMIA. 218-222.
39.Mangina, E. (2005). Intelligent Agent-Based Monitoring Platform for Applications in Engineering. International Journal of Computer Science & Applications. 2(1), 38-48.
40.McKeown, K.R., Chang, S.F., Ciminoz, J., Feiner, S.K., Friedmanz, C., Gravano, L., Hatzivassiloglou, V., Johnsonz, S., Jordan, D.A., Klavans, J.L., Kushnirukz, A., Patel, V., and Teufel, S. (2001). PERSIVAL, a System for Personalized Search and Summarization over Multimedia Healthcare Information. Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries. 331-340.
41.Ameen, M.A., Liu, J., and Kwak, K. (2012). Security and Privacy Issues in Wireless Sensor Networks for Healthcare Applications. Journal of Medical System. 36(1), 93-101.
42.Myers, B., Hollan, J., Cruz, I., and Bryson, S. (1996). Strategic Directions in Human-Computer Interaction. ACM Computing Surveys. 28(4), 794-809.
43.Lakas, A., Shuaib, K. (2005). A framework for SIP-based wireless medical applications. IEEE 61st Vehicular Technology Conference. VTC 2005-Spring. 5, 2755 – 2759.
44.Lee, C.S., Wang, M.H., and Chen, J.J. (2003), Ontology-based intelligent decision support agent for CMMI project monitoring and control. International Journal of Approximate Reasoning. 48(1), 62-76.
45.Liu, H., Bolic, M. and Nayak, A. (2008). Taxonomy and Challenges of the Integration of RFID and Wireless Sensor Networks. IEEE Network, November/December 2008. 26-32.
46.Harald Vogt. (2002), Efficient object identification with passive RFID tags, International Conference on Pervasive Computing. Lecture Notes in Computer Science. 2414, 98-113, Zurich.
47.Hashmi, Z.I., Cheah, Yu-N, Hassan, S.Z. and Lim, K.G. (2003), Intelligent Agent Modeling and Generic Architecture towards a Multi-Agent Healthcare Knowledge Management System. International Conference WWW/Internet 2003. 941-944.
48.Hsieh, Shu-Yu. (2008). A RFID-based Location System Using Classification Method. M.S. Thesis, Department of Information Management, Huafan University, Taipei.
49.Ho, L., Moh, M., Walker, Z., Hamada, T. and Su, C.F. (2005). A Prototype on RFID and Sensor Networks for Elder Healthcare: Progress Report. Proceedings of the 2005 ACM SIGCOMM workshop on Experimental approaches to wireless network design and analysis, August 22-22, 2005, Philadelphia, Pennsylvania, USA.
50.Ho, Wei-Cheng. (2006). Mobile Multi-Agent Based, Distributed Information Platform (MADIP) for Autonomous Health Care Monitoring. M.S. Thesis, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan.
51.Hour, Ching-Lin. (2005). Building an Interactive Multimedia 3D Virtual Reality in the Travel Industry – An Example of Cheerlife Hotspring Resort。M.S. Thesis, Graduate School of Tourism, Ming Chuan University, Taoyuan.
52.Hsu, Li-Shin. (2007). Handheld RFID Medical Assistant System with Location-Based Service. M.S. Thesis, Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science, National Taiwan University, Taipei.
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.
54.Huang, Y.C. (2003). Physiological and Psychological Effects of Music Therapy among Nursing Home Residents, Fu-Jen Journal of Medicine. 1(1), 47-55.
55.Hunt, D.L., Haynes, R.B., Hanna, S.E., and Smith, K. (1998), Effects of Computer-Based Clinical Decision Support Systems on Physician Performance and Patient Outcomes A Systematic Review. The Journal of the American Medical Association. 280, 1339-1346.
56.Huges,C.M.,Lapane, K.L. & Mor,V. (2000). Influence of facility characteristics on use of antipsychotic medications in nursing home. Medical Care. 38(12), 1164-1173.
57.Istepanian, Robert S.H., Jovanov,E., and Zhang, Y.T. (2004). Guest Editorial Introduction to the Special Section on M-Health: Beyond Seamless Mobility and Global Wireless Health-Care Connectivity
58.IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE. 8(4), 405-414.
59.Jan, So-We. (2002). The integration and application of Intelligent Agents for Web-Based medical resources system. M.S. Thesis, Department of Information Management, Nanhua University, Chiayi.
60.Johnston, M.E., Langton, K.B., Haynes, R.B., and Mathieu, A. (1994), Effects of Computer-based Clinical Decision Support Systems on Clinician Performance and Patient Outcome: A Critical Appraisal of Research. Annals of Internal Medicine. 120, 135-142.
61.Ko, His-Ching (2003). The Applications of Mobile Communications on Automatic Life Indicators and Physiological Parameters Monitoring Information Systems for Remote Patients, M.S. Thesis, Department of Management Information System, National Chung Cheng University, Chiayi.
62.Kuo, Kuan-Liang. (2010). A Health Examination System Integrated with Clinical Decision Support System, M.S. Thesis, Department of Computer Science and Information Engineering College of Electrical Engineering and Computer Science, National Taiwan University, Taipei.
63.Kane, R.L. (1998). Assuring quality in nursing home care. The American Geriatrics Society. 46(2), 232-237.
64.Katz, J.E. and Rice, R.E. (2009). Public views of mobile medical devices and services:A US national survey of consumer sentiments towards RFID healthcare technology. International Journal of Medical Informatics. 78, 101-114.
65.Kraft, Neubauer&LeSage (1987). Quality monitoring in long term care. Journal of Nursing Quality Assurance. 2(1), 39-48.
66.Lee, Yu-Ju. (2001). Effects of Music Therapy on Sleep Quality and Emotional Status for Institutionalized Elders. M.S. Thesis, Graduate Institution and School of Nursing, National Taipei College of Nursing, Taipei.
67.Lee, Yueh-Ching. (2005). System Analysis and Planning for RFID Application in Medical Institutes. M.S. Thesis, Institute of Healthcare Information Management, National Chung Cheng University, Chiayi.
68.Lin, C.C., Chiu, M.J., Hsiao, C.C., Lee, R.G., Tsai, Y.S. (2006). A Wireless Healthcare Service System for Elderly with Dementia, Information Technology in Biomedicine. 10(4), 696-704.
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.
70.Lin, Jing-Chi. (2006). Analysis of the Quality of Service in Indoor Positioning Systems. M.S. Thesis, Department of Electrical Engineering, National Cheng Kung University, Tainan.
71.Lin, Wei-Chih. (2005). Analysis of the EEG Signals in Response to Musical Signal Stimuli, M.S. Thesis, Graduate Institute of Medical Informatics, Taipei Medical University, Taipei.
72.Linda, N.(1998). Quality of care in nursing homes. Nurse Manage (London). 5(8), 17-20.
73.Lisa Frye, Liang Cheng, Shenfu Du, and Michael W. Bigrigg (2006). Topology Maintenance of Wireless Sensor Networks in Node-Failure Prone Environments. ICNSC’06. 886-891.
74.Mc Clenen, M,McNell BJ, Newhouse JP. (1994). One more intensive treatment of acute myocardial infarction in the elderly reduce mortality. JAMA. 272(11), 859-866.
75.NI, L.M., Liu, Y., Lau, Y.C. and Patil, A.P. (2004). LANDMARC: Indoor Location Sensing Using Active RFID. Wireless Networks. 10, 701–710.
76.Ojanperä, T. and Prasad, R., (1998). Wideband CDMA for third generation mobile communications, Artech House.
77.Otto, C., Milenkovi, A., Sanders, C., Jovanov, E. (2006). System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia. 1(4), 307-326.
78.Bahl, P., and Padmanabhan, V.N. (2000). RADAR: an in-building RF-based user location an tracking system. IEEE Computer and Communications. 2, 775-784.
79.Patel, V.L. and Kushniruk, A.W. (1998). Interface Design for Health Care Environments: The Role of Cognitive Science. Proceedings of the AMIA Symposium. 29-37.
80.Ryuhei, T., Masayuki, K. and Naokazu, Y., (2003). A Wearable Augmented Reality System for Navigation Using Positioning Infrastructures and a Pedometer. IEEE & ACM International Symposium on Mixed and Augmented Reality.
81.Rao, A. S., and Georgeff, M. P. (1995). BDI Agents: From Theory to Practice. In Proceedings of the First International Conference on Multi-Agent Systems. San Francisco. 312-319.
82.Samina R. A., Syed SR. A., Sajjad. H., and Mike S. (2007). Ontology-based Modeling of Clinical Practice Guidelines: A Clinical Decision Support system for Breast Cancer Follow-up Interventions at Primary Care Settings. Faculty of Computer Science, Dalhousie University, Halifax, Canada.
83.Salvemini AV. (1998). Improving the human-computer interface:A human factors engineering approach. Human Factors in Computing. 15(5), 311-315.
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.
85.Shih. (2001). Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks. Proc. of ACM MobiCom ’01. 272-286.
86.Sohrabo, K., Gao, J., Ailwadhi, V. and Pottie, G. J. (2000). Protocols for Self-Organization of a Wireless Sensor Network. Personal Communications, IEEE. 7, 16-27.
87.Staggers N. (1991). Human factors: The missing element in computer technology. Computers in Nursing. 9(2), 47-49.
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.
89.Sim, I., Gorman, P., Greenes, R.A., Haynes, R.B., Kaplan, B., Lehmann, H., and Tang, P.C. (2001). Clinical Decision Support Systems for the Practice of Evidence-based Medicine. Journal of the American Medical Informatics Association. 8, 527-534.
90.Teich, J.M., Osheroff, J.A., Pifer, E.A., Sittig, D.F., and Jenders, R.A. (2005). Clinical Decision Support in Electronic Prescribing: Recommendations and an Action Plan Report of the Joint Clinical Decision Support Workgroup. Journal of American Medical Informatics Association. 12, 365-76.
91.Thomas EJ, Studdert DM, Burstin HR, et al (2000). Incidence and Types of Adverse Events and Negligent Care in Utah and Colorado. Med Care. 38(3), 261-71.
92.Tu, H. C. and Hsiang, J. (2000). An Architecture and Category Knowledge for Intelligent Information Retrieval Agents. Decision Support Systems. 28, 255-268.
93.TURCU, Cornel. , TURCU, Cristina., and POPA, Valentin. (2006). An RFID and Agent Technologies Based System for the Identification and Monitoring of Patients. The 8th International Conference on Development and Application Systems. 234-241.
94.Tzeng, Ching-Yung. (2002). Design of a Radio Frequency Identification System in ER Flow. M.S. Thesis, Department of Biomedical Engineering, Chung Yuan Christian University, Taoyuan.
95.Want, R. (2004). An Introduction to RFID Technology. Pervasive Computing, Jan.-March 2006. 25-33.
96.Wang, Sheng-Hung. (2005). Positioning and Tracking Techniques for Wireless Sensor Networks. M.S. Thesis, Institute of Communications Engineering, National Tsing Hua University, Hsinchu.
97.White Paper (2005). Using RFID Technologies to Reduce Blood Transfusion Errors, Intel.
98.Wu, Chia-Ying. (2007). An Implementation of Intelligent Mobile Multi-Agent Based, Distributed Information Platform (MADIP) for Autonomous Health Care Monitoring with JADE. M.S. Thesis, Department of Industrial Engineering and Management, Yuan Ze University, Taoyuan.
99.Wu, H.W., Lin, Y.C., Wang, N.P., Wu, F., Lin, C.J., Chen, C.H., Wang, L.F., and Chang, S.T. (2007). Research on the Improvement of Patient Care Quality with Radio Frequency Identification Technology. Kuang Tien Medical Journal. 2(1), 39-49.
100.Wu, Shyh-Shyan. (2008). A 3D Virtual Tour System Supported RFID Localization. M.S. Thesis, Graduate School of Mathematical Sciences, Aletheia University, Taipei.
101.Yang, Chih-Chao. (2007). A RFID-Based Location Sensing Mechanism. M.S. Thesis, Institute of Information Management, National Chiao Tung University, Hsinchu.
102.Yeh, Yu-Liang. (2007). The Design and Implementation of Indoor Position System. M.S. Thesis, Computer Science and Information engineering, Chang Gung University, Taoyuan.
103.Yi, Y., and Jacques, C. (2006). From the ontoBayes Model to a Service Oriented Decision Support System. Proceedings of International Conference on Computational Intelligence for Modeling, Control and Automation (CIMCA), IEEE Computer Society.
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.
105.Yung, Cheng-Jie. (2006). An Agent Driven Approach for Elder Homecare Emergency Services. M.S. Thesis, Department of Medical Informatics, Tzu Chi University, Hualien.
106.Zeleznikow, J. and Stranieri, A. (2001). An Ontology for the Construction of Legal Decision Support Systems. Second International Workshop on Legal Ontologies.
107.CNN.（December25th, 2003），10 technologies to watch in 2004，http://www.cnn.com/2003/TECH/ptech/12/23/bus2.feat.tech.towatch/
108.The Joint Commission on Accreditation of Healthcare (JCAHO, 2012),
http://www.jcaho.org
109.Taiwan Joint Commission on Hospital Accreditation (TJCHA, 2012),
http://www.tjcha.org.tw/inspect/inspect.asp
110.Flagship program of the Great Warmth Social Welfare package (Ten Years Plan, 2012),
http://sowf.moi.gov.tw/newpage/tenyearsplan.htm.
111.Council for Economic Planning and Development (CEPD, 2012),
http://www.cepd.gov.tw/m1.aspx?sNo=0012445
112.Li, M.Y., Cheng, C.R. (2000). Application of Virtual Reality Technologies in Rehabilitation Medicine.
http://mmrl.cgu.edu.tw/rehab/lab/ren/Paper/VR_Short/VR_Short.html
113.National Patient Safety Foundation (1999), Agenda for Research and Development in Patient Safety, http://www.ama.assn.org/med-sci/npsf/resf/research/research.htm
114.RFID journal，http://www.rfidjournel.com/article /view/466
115.National Patient Safety Agency (NPSA)，http://www.npsa.nhs.uk/index.asp
116.Marcus, E. and Fabius, “R. What is E-health?”, Journal of Medical Internet Research, June 24, 2004, Retrieved from the World Wide Web: http://www.jmir.org/2001/2/e20/