HIPAA Based Predictive Analytics for an Adaptive and Descriptive Mobile Healthcare System

Author

Subramaniam, Chandrasekaran ; Radhakrishnan, Abhishek Balaji ; Somu, Vignesh Raj ; Chandraskear, Harshinee ; Balasubramaniam, Janani

Author_Institution

Dept. of Comput. Sci., Anna Univ., Chennai, India

fYear

2013

fDate

24-25 Sept. 2013

Firstpage

148

Lastpage

153

Abstract

The objective of the research work is to performa predictive analysis of an adaptive and descriptive mobilehealth care system in the context of Health InsurancePortability and Accountability Act (HIPAA). This analyticalstudy has assumed a set of policies encompassing health careorganizations, service providers and the end users. Theelectronic medical records of the patients are clustered so asto fasten the detection and data extraction of records usingmobile ambience. The non-adaptive strategies, mistakes inthe earlier collaboration models and the late enforcementare the basic issues and challenges for the proposed work.The predictability analysis over the scalability of mobilehealth application with several uncertainty nature ofinsurance fraud is performed. The focus is to frame adescriptive logic for an adaptable health care system withuser expected analytics. A case study, Blood Seeker, isdesigned and deployed to substantiate the proposedanalytics over concurrency and reachability of thesystem.

Keywords

fraud; health care; medical information systems; mobile computing; pattern clustering; Blood Seeker; HIPAA based predictive analytics; Health Insurance Portability and Accountability Act; adaptable health care system; adaptive mobile healthcare system; data extraction; descriptive mobile healthcare system; end users; health care organizations; insurance fraud; mobile ambience; patients electronic medical records; predictive analysis; records detection; service providers; system concurrency; system reachability; user expected analytics; Context; Diseases; Educational institutions; Mobile communication; Mobile computing; Privacy; collaboration mistake; compliance error; data extraction; descriptive logic; mobile ambience; predictive analytics; strategy vulnerability;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence, Modelling and Simulation (CIMSim), 2013 Fifth International Conference on

Conference_Location

Seoul

Print_ISBN

978-1-4799-2308-3

Type

conf

DOI

10.1109/CIMSim.2013.32

Filename

6663178