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Reseach Article

Overcoming Decision Uncertainty and Compromise Effect in Issues Pertaining to Health through TICOS - Treatment Information and Cost Optimization System

by Sathya Priya Balasegaran, Aarthy Sampath
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 8
Year of Publication: 2015
Authors: Sathya Priya Balasegaran, Aarthy Sampath
10.5120/cae2015652012

Sathya Priya Balasegaran, Aarthy Sampath . Overcoming Decision Uncertainty and Compromise Effect in Issues Pertaining to Health through TICOS - Treatment Information and Cost Optimization System. Communications on Applied Electronics. 3, 8 ( December 2015), 37-45. DOI=10.5120/cae2015652012

@article{ 10.5120/cae2015652012,
author = { Sathya Priya Balasegaran, Aarthy Sampath },
title = { Overcoming Decision Uncertainty and Compromise Effect in Issues Pertaining to Health through TICOS - Treatment Information and Cost Optimization System },
journal = { Communications on Applied Electronics },
issue_date = { December 2015 },
volume = { 3 },
number = { 8 },
month = { December },
year = { 2015 },
issn = { 2394-4714 },
pages = { 37-45 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume3/number8/488-2015652012/ },
doi = { 10.5120/cae2015652012 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:43:44.926612+05:30
%A Sathya Priya Balasegaran
%A Aarthy Sampath
%T Overcoming Decision Uncertainty and Compromise Effect in Issues Pertaining to Health through TICOS - Treatment Information and Cost Optimization System
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 8
%P 37-45
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The Compromise Effect states that a consumer is more likely to choose the middle option of a choice set rather than the extremes, when they are rational and are provided with complete information about a product or service. The effect varies in an incomplete information scenario, especially in a sensitive decision making need such as a health care emergency. Affordability and awareness play a major role. The insecurity that follows eithers leads to incurring huge expenses or to a compromise over service quality. Further, huge variations in the level of service in terms of quality and price exist among health care providers. The ambiguity in consultation process, which evokes a sense of diffidence among patients, is a concern to be addressed. Health informatics is an emerging field that mines the best usage of Information Technology and delivers tremendous quality service to customers. In line with this is the proposed system, the Treatment Information and Cost Optimization System (TICOS), which enables non-biased service in terms of consultation, clarity and pricing, thereby bringing in transparency in the process. Integration of the system across all hospitals in a region can be done by embedding the system with regulatory bodies like WHO and IMA.

References
  1. Angela Morrow (2012) “Making Difficult Decisions: Identifying Goals of Care, by Dying, Funerals & Grief Expert”[Online]Availablehttp://dying.about.com/od/ethicsandchoices/a/decisions.htm
  2. HISPIndia,CompanyWebsite: https://www.hispindia.org/
  3. Cognizant Healthcare Solutions Company Website: http://www.cognizant.com/healthcare
  4. Birlamedisoft Healthcare Software Developers, Company Website: http://www.birlamedisoft.com/
  5. Making Effective Decisions in High Uncertainty [Online] Available: http://www.decision-making solutions.com/decision-making-in-uncertainty.html
  6. Decision-Making under Uncertainty [Online] Available: http://www.cs.berkeley.edu/~jordan/muri/
  7. Mohamed A. Ahmed, Talal M. Alkhamis (2009) “Simulation optimization for an emergency department healthcare unit in Kuwait” In European Journal of Operational Research, Volume 198, Issue 3, Pages 936–942.
  8. Wei Zhoua, Selwyn Piramuthu (2010) “Framework, strategy and evaluation of health care processes with RFID”, In Elsevier—Volume 50, Issue 1, 222–233.
  9. Banks I. (2010) “Self Care of Minor Ailments: A Survey of Consumer And Healthcare Professional Beliefs And Behaviour (1):1-13.
  10. Karl Claxton, Mike Paulden, Hugh Gravelle, Werner Brouwer and Anthony J. Culyer (2010) “Discounting and Decision making in the economic evaluation of health-care technologies” May 12, 2010.
  11. Paul K. J. Han, MD, MA, MPH, William M. P. Klein, Neeraj K. Arora (2009) “Varieties of Uncertainty in Health Care: A Conceptual Taxonomy” In International Conference on Communication in Healthcare, Miami, Florida, October 4, 2009.
  12. Sarojkumar Dash (2010) “Managing Customer Relationships In Private Health Care Facilities - A Study With Reference To Greater Noida City Of Uttar Pradesh”, In QUEST Journal of Management and Research —Volume 1(2), 29– 41.
  13. SusmitaChatterjee, CarolLevin and RamananLakminarayan (2013) “Unit Cost of Medical Services at Different Hospitals in India” In PLoS ONE (An Open Access Journal), Volume 8, Issue 7.
  14. MedinousCompanyWebsite:http://www.medinous.com/aboutus.html
  15. QuintegraSolutionsCompanyWebsite:http://quintegrasolutions.com/Quintegra%20HMIS.pdf
  16. Erwin W. Hans, Mark van Houdenhoven, Peter J. H. Hulshof (2011) “A Framework for Healthcare Planning and Control”, 24 Nov 2011.
Index Terms

Computer Science
Information Sciences

Keywords

Compromise Effect Decision Making Cost Optimization Consumer Affordability.