Development Of HealthCare System For Smart Hospital Using UML and XML Technology

Yıl 2014, Cilt: 2 Sayı: 3, 38 - 45, 01.07.2014

Magdy Mahmoud

https://doi.org/10.18201/ijisae.27252

Öz

The convergence of information technology systems in health care system building is causing us to look at more effective integration of technologies. Facing increased competition, tighter spaces, staff retention and reduced reimbursement, today’s traditional hospitals are looking at strategic ways to use technology to manage their systems called smart hospital. The concept of the smart hospital is a useful system for any hospital; about adding intelligence to the traditional hospital system by covering all resources and locations with patient information. Patient’s information is an important component of the patient privacy in any health care system that is based on the overall quality of each patient in the health care system. The main commitment for any health care system is to improve the quality of the patient and privacy of patient’s information. Today, there is a need of such computer environment where treatment to patients can be given on the basis of his/her previous medical history at the time of emergency at any time, on any place and anywhere. Pervasive and ubiquitous environment and UML (unified modeling language) can bring the boon in this field. For this it's needed to develop the ubiquitous health care computing environment using the UML with traditional hospital environment. This paper is based on the ubiquitous and pervasive computing environment based on UML and XML(The Extensible Markup Language)  technology, in which these problems has been tried to improve traditional hospital system into smart hospital in the near future. The key solution of the smart hospital is online identification of all patients, doctors, nurses, staff, medical equipments, medications, blood bags, surgical tools, blankets, sheets, hospital rooms, etc. In this paper efforts is channeled into improving the knowledge-base ontological description for smart hospital system by using UML and XML technology, Our knowledge is represented in XML format from UML modeling(class diagram). Our smart hospital provides access to its system by using a smart card. Finally, the former try to improve health care delivery through development and management of acute care hospital designed; both physically and operationally, for more efficiency and increased patients safety.

Anahtar Kelimeler

UML; Smart Hospital (SH); Ontology; XML; health care system

Kaynakça

• Sanjay Anand and Akshat Verma " Development of Ontology for Smart Hospital and Implementation using UML and RDF, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 5, p.p. 206-212, September 2010.
• Khaled M Fouad, Magdy Shayboub Ali Mahmoud and Yasser N. “Agent of Healthcare system based on XML Technology ”International Journal of Computer Information Systems(IJCIS), Vol. 2, No. 1, pp.35-46, January 2011.
• Magdy Shayboub Ali Mahmoud “Improve of Health Care Systems for Smart Hospitals Based on UML and XML”, International Journal of Computer and Information Technology(IJCIT), Volume 02– Issue 03, pp. 484-491, May 2013.
• Bardram JE. and Christensen HB. “Pervasive Computing Support for Hospitals: An overview of the Activity-Based Computing Project,” IEEE Pervasive Computing, Vol. 16, No. 1, pp. 44-51, 2007.
• Berners-Lee, Tim, James H, & Ora L. "The Semantic Web," Scientific American, May 2001.
• Horrocks I; Patel-Schneider PF.; and van Harmelen F. Reviewing the design of DAML+OIL: An ontology language for the semantic web. In Proc. of the 18th Nat. Conf. on Artificial Intelligence (AAAI 2002).
• Grainger M; Lee J "Ontology – Applications and Design. Communications of the ACM", Vol. 45, No. 2, February 2002.
• Weiser M. “Ubiquitous Computing”. IEEE Computer, 26(10):71-72, 1993.
• Erdmann M and Studer R. "Ontology as conceptual models for XML documents". In Proceedings of the 12th Workshop on Knowledge Acquisition, Modeling and Management (KAW'99). Knowledge Science Institute, University of Calgary, 1999. http://sern.ucalgary.ca/KSI/KAW/KAW99/papers/Erdm ann1/erdmann.pdf.
• Dean M; Schreiber G; Bechhofer S; van Harmelen F; Hendler J; Horrocks I; McGuinness DL; Patel-Schneider PF; and Stein L A (2004). OWL web ontology language reference. W3C Recommendation. http://www.w3.org/TR/owl-ref/
• Alani H, Kim S, Millard DE, Weal MJ, Hall W, Lewis PH and Shadbolt NR. “Automatic Ontology-Based Knowledge Extraction fromWeb Documents”,IEEE Intelligent Systems,Vol. 10,No1, pp.14-2, 2003..
• Guided Tour of Ontology; John F. Sowa, http://www.jfsowa.com/ontology/guided.htm
• Gandon F. Ontology Engineering: a survey and a return on experience, Research Report of INRIA n°4396, France, March 2002.
• AIWatch-TheNewsletter of Artificial Intelligence.Vol. 4-6.AI Intelligence, Oxford,UK.
• Uschold M and Gruninger M. Ontologies: Principles, methods and applications. Knowledge Engineering Review, Vol. 11:2, 93-136, 1996. Also available as AIAI-TR-191 from AIAI, the University of Edinburgh.
• Bruno B. "Modélisation linguistique et modélisation logique des ontologies: l'apport de l'ontologie formelle." In Proceedings of IC 2001, pp 349-368 Plate-forme AFIA, Grenoble 25-28 juin 2001.
• Press Release -The Smart Hospital at The University of Texas at Arlington School of Nursing becomes a Laerdal Center of Excellence in Simulation. Available at- http://www.uta.edu/nursing/simulation/pr-laerdal.pdf
• Victor Foo Siang Fook, Siew Choo Tay, Maniyeri Jayachandran, Jit Biswas, Daqing Zhang, "An Ontology-based Context Model in Monitoring and Handling Agitation Behaviour for Persons with Dementia," percomw, pp.560-564, Fourth IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW'06), 2006
• Bardram J. Applications of context-aware computing in hospital work – examples and design principles, Proceedings of the ACM Symposium on Applied Computing. 2004.
• Favela et al., “Activity Recognition for Context-Aware Hospital Applications: Issues and Opportunities for the Deployment of Pervasive Networks,” Mobile Networks and Applications, vol. 12, nos. 2–3, pp. 155–171, 2007.
• M.D. Rodríguez, J. Favela, A. Preciado y A. Vizcaino,. “Agent-Based Ambient Intelligence for Healthcare,” AI Comm., vol. 18, no. 3, pp. 201– 216, 2005.
• E. B. Moran et al., “Mobility in Hospital Work: Towards a Pervasive Computing Hospital Environment,” Int’l J. Electronic Healthcare, vol. 3, no. 1, pp. 72–89, 2006.
• V Stanford “Beam Me Up, Doctor McCoy,” IEEE Pervasive Computing, vol. 2, no. 3, pp. 13–18, 2003.
• D Sánchez, M Tentori and J Favela “Hidden Markov Models for Activity Recognition in Ambient Intelligence Environments,” Proc. 8th Mexican Int’l Conf. Current Trends in Computer Science (ENC 07), IEEE CS Press, pp. 33–40, 2007.
• Manhattan Research inc., “Physicians in 2012: The Outlook for On Demand, Mobile, and Social Digital Media”. A Physician Research Module Report, 2009, New York, USA.
• Dairazalia Sánchez, Monica Tentori, and Jesús Favela, Cicese ”Activity Recognition for the Smart Hospital”, IEEE INTELLIGENT SYSTEMS, April 8, 2009. Pp. 50-57.
• Changrui Xiao and Arthur Yu “Medical Smart Card System for Patient Record Management”, Bears Breaking Boundaries Science, Technology, and Energy Policy White Paper Competition, 2009, pp.1-12.