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Reseach Article

Data and Knowledge Management in Designing Healthcare Information Systems

by Nadeem Mahmood, Aqil Burney, Zain Abbas, Kashif Rizwan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 50 - Number 2
Year of Publication: 2012
Authors: Nadeem Mahmood, Aqil Burney, Zain Abbas, Kashif Rizwan

Nadeem Mahmood, Aqil Burney, Zain Abbas, Kashif Rizwan . Data and Knowledge Management in Designing Healthcare Information Systems. International Journal of Computer Applications. 50, 2 ( July 2012), 34-39. DOI=10.5120/7745-0798

@article{ 10.5120/7745-0798,
author = { Nadeem Mahmood, Aqil Burney, Zain Abbas, Kashif Rizwan },
title = { Data and Knowledge Management in Designing Healthcare Information Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2012 },
volume = { 50 },
number = { 2 },
month = { July },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-39 },
numpages = {9},
url = { },
doi = { 10.5120/7745-0798 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T20:47:18.325750+05:30
%A Nadeem Mahmood
%A Aqil Burney
%A Zain Abbas
%A Kashif Rizwan
%T Data and Knowledge Management in Designing Healthcare Information Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 50
%N 2
%P 34-39
%D 2012
%I Foundation of Computer Science (FCS), NY, USA

Revolution in information and communication technologies has transformed the information management structure in almost all the organizations. It has had a great impact on healthcare organizations by improving health services and management by integrating technology with the knowledge management infrastructure. The healthcare industry is a knowledge-based community and is connected to hospitals, physicians, patients, laboratories, pharmaceuticals, clinics, pharmacies, and customers for sharing knowledge. A knowledge-based healthcare industry can improve the quality of care and service given to its people and also reduces the administrative cost. The objective of this research is to present and describe the knowledge management capabilities, the technical infrastructure, and the decision support architecture for such a healthcare management system. It envisions a healthcare knowledge management system (HKMS) that would help to integrate important components, disseminate knowledge to the respective users and to store historical data in a database. This will immensely help the managers and developers to identify their IT needs and to plan for and develop the technical infrastructure of the health care management system for their organizations.

  1. Achour, S. L. , Dojat, M. , Rieux, C. , Bierling, P. , and Lepage, E. 2001. A UMLS (Uni?ed Medical Language System)based knowledge acquisition tool for rule-based clinical decision support system development. Journal of the American Medical Informatics Association, 8, pp. 351–360.
  2. McDonald, C. J. , Overhage, J. M. , Dexter, P. R. , Blevins, L. , Meeks Johnson, J. , Suico, J. G. , Tucker, M. C. , and Schadow, G. 1998. Canopy computing: using the web in clinical practice. Journal of the American Medical Association, 280 (15), 1325–1329.
  3. Forgionne, G. A. , Gangopadhyay, J. A. , Klein, R. , and Eckhardt, R. 1999a. A decision technology system for health care electronic commerce. Topics in Health Information Management, 20(1), pp. 31–41.
  4. Forgionne, G. A. , Gangopadhyay, A. , Klein, J. A. , and Eckhardt, R. 1999b. Electronic commerce as an enabler of ef?cient healthcare decision making. Electronic Markets, 9(1), pp. 1–5
  5. 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. JAMA, 64, pp. 15–37.
  6. Zitner, D. , Paterson, G. , and Fay, D. 1998. Methods in health decision support systems: Methods for identifying pertinent and super?uous activity. In: Tan J. (Ed. ), Health decision support systems. Gaithersburg, MD: Aspen Press.
  7. Sim, I. , Gorman, P. , Greenes, 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, pp. 527–534.
  8. Alavi, M. , and Leidner, D. E. 2001. Review: Knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Quarterly, 25(1), pp. 107–136.
  9. Davenport, T. H. , and Prusak, L. 1998. Working knowledge: How organizations manage what they know. Boston, MA: Harvard Business School.
  10. Holsapple, C. W. , and Joshi, K. D. 2002. The evolution of knowledge management frameworks. In S. Barnes (Ed. ), Knowledge management systems: Theory and practice. London: International Thomson Press.
  11. Liebowitz, J. 2000. Building organizational intelligence—A knowledge management primer. Boca Raton, FL: CRC Press.
  12. Kohli, R. , Tan, J. K. , Piontek, F. A. , Ziege, D. E. , and Groot, H. 1999. Integrating cost information with health management support system: an enhanced methodology to assess health care quality drivers. Topics in Health Information Management, 20(1), pp. 80-95.
  13. Jadad, A. R. , Haynes, R. B. , Hunt, D. , and Browman, G. P. 2000. The Internet and evidence-based decision-making: a needed synergy for ef?cient knowledge management in health care. CMAJ, 162(3), 362–365.
  14. Bolisani, E. , and Scarso, E. 1999. Information technology management: a knowledge based perspective, Technovation, 19, pp. 209-217, 1999.
  15. Health-IT-Overview. Retrieved from http://healthinsurance. about. com/od/healthinsurancebasics/a/health_IT_overview. htm
  16. Mahmood, N. , Burney, A. , and Ahsan, K. 2012. Generic Temporal and Fuzzy Ontological Framework for Developing Temporal-Fuzzy Database Model for Managing Patient's Data. Journal of Universal Computer Science, 18(2), pp. 177-193.
  17. Gangemi, A. , Pisanelli, M. D. , and Steve, G. 1999. An overview of the ONIONS project: applying ontologies to the integration of medical terminologies, Data and Knowledge Engineering, 31(2), pp. 183-220.
  18. Masolo, C. , Borgo, S. , Gangemi, A. , Guarino, N. , Oltramari, A. , Schneider, L. 2002. The WonderWeb Library of Foundational Ontologies and the DOLCE Ontology. Wonderweb Deliverable D17. Retrieved from: www. loa-cnr. it, 2002.
  19. Mahmood, N. , and Burney, A. 2011. Temporal and Fuzzy Relational Databases, LAP Germany.
  20. Burney, A. , Mahmood, N. , and Abbas, Z. 2012. Advances in Fuzzy Rough Temporal Databases. In Proc 11th WSEAS International Conference on AIKED, University of Cambridge UK, pp 237-242.
  21. Burney, A. , Mahmood, N. , and Ahsan, K. 2010. TempR-PDM: A Conceptual Temporal Relational Model for Managing, Patient Data. In Proc. Int. WSEAS conference AIKED, University of Cambridge UK, pp. 237-243.
  22. Hripcsak, G. 1994. Writing Arden Syntax Medical Logic Modules, In: Computers in Biology and Medicine, pp. 331-363.
  23. Deibel, R. A. Introduction to the InterMed Common Guideline Model and Guideline Interchange Format (GLIF). Brigham and Women's Hospital. Harvard Medical School. Boston. November, 1996.
  24. The Good Electronic Health Record. Retrieved from: http:// www. gehr. org.
  25. HL7. Health Level 7. Retrieved from: http://www. hl7. org.
  26. Bashshur, R. L. , Puskin, D. , and Silva, J. , eds. Second Invitational Consensus Conference on Telemedicine and the National Information Infrastructure: Augusta, Georgia, May 2-4, 1995. Telemedicine Journal, 1(4), 321-375, 1995.
  27. Burney, A. , Mahmood, N. , and Abbas, Z. 2010. Information and Communication Technology in Healthcare Management Systems: Prospects for Developing Countries. International Journal of Computer Applications 4(2):27–32, July 2010. Published By Foundation of Computer Science.
  28. Guthart, G. S. , and Salisbury, J. K. 2000. The Intuitive Telesurgery System: Overview and Application. In: Proc IEEE ICRA, pp. 618 -621.
  29. Gitlin, J. N. 1994. Introduction in understanding Teleradiology. Harrisburg, Pa. : Society for Computer Applications in Radiology.
  30. Istepanian, R. 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. IEEE Transactions on Information Technology in Biomedicine, 8(4), pp. 405-414.
  31. Holopainen, A. , Galbiati, F. , and Takizawa, K. 2008. Health Gateway Mobile phone technology offers easy-to-use and cost-effective telemedicine services for rural and remote areas, Journal of eHealth Technology and Application, 5(3), pp. 261-266
  32. Jovanov, E. , Milenkovic, A. , Otto, C. , andGroen P. C. 2005. A wireless body area network of intelligent motion sensors for computer assisted physical rehabilitation, Journal of Neuro Engineering and Rehabilitation, 2(6).
  33. Blumenthal, D. 1999. Healthcare format the close of the 20thcentury. New England Journal of Medicine, 340(24), pp. 1916–1920.
Index Terms

Computer Science
Information Sciences


Knowledge Management Healthcare Information System Decision Support System Health Management health ontology telemedication