|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|
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
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.