CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Approach for Futuristic Health Care Planners

by Gunjan Pahuja
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 13
Year of Publication: 2015
Authors: Gunjan Pahuja
10.5120/20214-2483

Gunjan Pahuja . Approach for Futuristic Health Care Planners. International Journal of Computer Applications. 115, 13 ( April 2015), 27-33. DOI=10.5120/20214-2483

@article{ 10.5120/20214-2483,
author = { Gunjan Pahuja },
title = { Approach for Futuristic Health Care Planners },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 13 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-33 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number13/20214-2483/ },
doi = { 10.5120/20214-2483 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:54:45.077061+05:30
%A Gunjan Pahuja
%T Approach for Futuristic Health Care Planners
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 13
%P 27-33
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, we present a collaborative approach for the health care systems. The expert knowledge is embedded within DSS to provide intelligent decision support. The problem space contains multiple Hub and Spoke networks. Information about these networks is dynamically captured and represented in a Meta-data table. This master table enables collaboration between any two networks in the problem space, thus, enables load sharing among them. In order to show the collaboration between health care systems; number of doctors in the dispensary, present load/day and capacity are the key data to be collected for west, south, south west and south districts of Delhi before we apply this approach. The implementation is done at primary care level. The input to the model is health care data and output is a decision based on the collaborative approach model. Primary health care centers in a geographical area are transformed into Hub & Spoke type networks. Collaboration between such networks means transfer of patient load from one network to another at primary care level depending upon free capacity available in the given network which can be determined from Meta-data table.

References
  1. Shortliffe 1986. Medical Expert Systems -Knowledge Tools for Physicians. Western Journal of medicine, vol. 145(6), 830-839.
  2. Scally G & Liam J Donaldson 1998. Clinical governance and the drive for quality improvement. British Medical Journal, vol. 317, 61-65.
  3. P. Zarate, C. Rosenthal-Sabroux 1998 . A Cooperative Approach for Intelligent Decision Support Systems. In proceeding of the 31st Annual Hawaii International Conference on System Sciences.
  4. G. R. Rao 2000. A hypermedia-based group decision support system to support collaborative medical decision-making. Decision Support Systems, vol 30, 187-216.
  5. Efraim Turban Jay E. Aronson 2001. Decision Support Systems and Intelligent Systems: Pearson Publications.
  6. Daniel J. Power 2001. Supporting Decision-Makers: An Expanded Framework. Informing Science -Challenges to Informing Clients: A Transdisciplinary Approach, 431-436.
  7. A. M. Thornett 2001. Computer Decision support systems in general practice. International journal of Information Management, vol 21, 39-47.
  8. Khan Akbar Ali M 2001. Cost and efficiency of public hospitals: A cross sectional analysis. South Asian journal of Management, vol 10, 33-53.
  9. Kemal A. Delic, Laurent Douillet, Umeshwar Dayal 2001. Towards an Architecture for Real-Time Decision Support Systems: Challenges and Solutions. International Symposium on Database Engineering and Applications, 303-311.
  10. Ranjit Bose 2004. Knowledge management-enabled health care management systems: capabilities, infrastructure, and decision-support. Expert Systems with Applications, vol 24, 59–71.
  11. Aggarwal Satish 2006. E- Governance for administrative effectiveness, Prashasnika, volume xxxii no 1, 41-53.
  12. Abdelkader ADLA, Pascale Zarate 2006. A Cooperative Intelligent Decision Support System. IEEE Xplore, 1-6.
  13. Guest Editorial 2006. Special Issue on Collaboration Support Systems. IEEE Transaction on systems, man, and cybernetics—PART A: Systems and humans, vol. 36, 1042-1044.
  14. D. J. Power 2007. A Brief History of Decision Support Systems. http://DSSResources. COM/history/dsshistory. html, version 4. 0.
  15. Jian Yang, Zhong Zhang, Hong Feng 2008. Mathematical Modeling for the Health Care System. International Conference on Intelligent Computation Technology and Automation, 608-612.
  16. Peter A. Bath 2008. Health informatics: current issues and challenges. Journal of Information Science, vol. 34, 501-518.
  17. Xiangmin Zhang, Yuelin Li 2008. Use of collaborative recommendations for web search: an exploratory user study. Journal of Information Science, vol. 34 , 145-161.
  18. Jianjun Lv, Zhishu Li 2009. Research on Architecture of Decision Support System. 2nd IEEE international conference on Computer Science and Information Technology,199-202.
  19. Olga Sustersic, Uros Rajkovic, Vesna Prijatelj, Vladislav RajkovIC 2009. Evaluating Patient's Health by a Hierarchical Decision Model. International Conference on eHealth, Telemedicine, and Social Medicine, 136- 139.
  20. www. healthmanagement. com.
  21. Tawhik et. al 2009. Understanding Clinical Work Practices for Cross-Boundary Decision Support in e-Health. Information Technology in Biomedicine. IEEE Transaction on, vol 16(4), 530-541.
  22. Terry Young 2009. Three Critical Challenges for Modelling and Simulation in Healthcare. Winter Simulation Conference, 1823-1830.
  23. Keith G Jeffery. METADATA: The Future of Information Systems. http://www. wmo. int/pages/prog/www/WDM/ET-IDM/Doc-2-3. html
  24. The information centre for health and social care (n. d. ) http://www. ic. nhs. uk/casemix
  25. Jianjun Lv, Zhishu Li 2009. Research on Architecture of Decision Support System. In Proc. of 2nd IEEE international conference on Computer Science and Information Technology, 199-202.
  26. Sung Ho Ha, Zhenyu Zhang 2010. Collaborative intelligence for intelligent diagnosis systems in hospital environment. International conference on knowledge discovery and data mining, 532-535 .
  27. Tiago et. al 2013. Health Functional Units Sentinel Network , A Learning Device and Decision Support System in Health Functional Units at Portuguese primary Health Care Level. International Conference on Health and Social Care Information Systems and Technologies, vol 9, 1329-1334.
  28. Chun hua et. al 2013. An Integrated Model for Patient Care and Clinical Trials to support clinical research visit scheduling workflow for future learning health systems. Journal of Biomedical Informatics, vol 46 , 642-652.
  29. Mor Peleg 2013. Computer-interpretable clinical guidelines: A methodological review. Journal of Biomedical Informatics, vol 46, 744-763.
  30. Pahuja Gunjan & Vohra Rajan 2012. Collaborative Decision Support Systems for Primary Health care Managers. International Journal of Computer Science Issues, vol 9(2), 416-421.
Index Terms

Computer Science
Information Sciences

Keywords

Decision Support Systems Collaborative DSS HUB and SPOKE Model Meta Data Primary health care data.

Powered by PhDFocusTM