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

2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation Pub Date : 2013-09-24 DOI:10.1109/CIMSIM.2013.32

C. Subramaniam, Abhishek Balaji Radhakrishnan, Vignesh Raj Somu, Harshinee Chandraskear, Janani Balasubramaniam

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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.

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基于HIPAA的自适应和描述性移动医疗保健系统预测分析

研究工作的目的是在健康保险可移植性和责任法案(HIPAA)的背景下对适应性和描述性移动医疗保健系统进行预测分析。本分析性研究假设了一套涵盖医疗保健组织、服务提供者和最终用户的政策。对患者的电子病历进行聚类处理，以便在移动环境下对病历进行检测和数据提取。非适应性策略、早期合作模式中的错误和后期的执行是本研究面临的基本问题和挑战。对具有几种保险欺诈不确定性的移动医疗应用的可扩展性进行了可预测性分析。重点是为具有用户期望分析的适应性医疗保健系统构建描述性逻辑。设计并部署了一个案例研究，Blood Seeker，以证实对系统并发性和可达性的建议分析。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2013 Fifth International Conference on Computational Intelligence, Modelling and Simulation

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