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A cloud based health insurance plan recommendation system: A user centered approach
- Source :
- Future Generation Computer Systems. :99-109
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- The recent concept of "Health Insurance Marketplace" introduced to facilitate the purchase of health insurance by comparing different insurance plans in terms of price, coverage benefits, and quality designates a key role to the health insurance providers. Currently, the web based tools available to search for health insurance plans are deficient in offering personalized recommendations based on the coverage benefits and cost. Therefore, anticipating the users' needs we propose a cloud based framework that offers personalized recommendations about the health insurance plans. We use the Multi-attribute Utility Theory (MAUT) to help users compare different health insurance plans based on coverage and cost criteria, such as: (a) premium, (b) co-pay, (c) deductibles, (d) co-insurance, and (e) maximum benefit offered by a plan. To overcome the issues arising possibly due to the heterogeneous data formats and different plan representations across the providers, we present a standardized representation for the health insurance plans. The plan information of each of the providers is retrieved using the Data as a Service (DaaS). The framework is implemented as Software as a Service (SaaS) to offer customized recommendations by applying a ranking technique for the identified plans according to the user specified criteria. We present a cloud based health insurance plan recommendation system.We propose a standard ontological representation for all the health insurance plans.An algorithm to determine the similarities between the user requirements and plans is presented.We propose a ranking technique based on the Multi-attribute Utility Theory (MAUT).
- Subjects :
- Computer Networks and Communications
business.industry
Computer science
Software as a service
media_common.quotation_subject
Cloud computing
Plan (drawing)
Recommender system
computer.software_genre
User requirements document
Risk analysis (engineering)
Ranking
Hardware and Architecture
Health insurance
Quality (business)
Data as a service
Data mining
business
Health insurance plan
computer
Software
media_common
Subjects
Details
- ISSN :
- 0167739X
- Database :
- OpenAIRE
- Journal :
- Future Generation Computer Systems
- Accession number :
- edsair.doi...........1a871426b981ef345402723a9f7c8ac1
- Full Text :
- https://doi.org/10.1016/j.future.2014.08.010