MedBlockSure: Blockchain-based insurance system

IF 1.2 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Charu Krishna, Divya Kumar, Dharmender Singh Kushwaha
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引用次数: 0

Abstract

Health insurance plays a vital role during medical emergencies in the coverage against medical expenses. Insurance fraud is an international challenge that affects most economies worldwide. Government and private companies offer many insurance schemes. The successful implementation of numerous health insurance programs offered for the public by and large are often threatened by corruption, fraud, and numerous other data-related issues. Further the procedure for acclaiming the insurance money is not only critical in terms of verification of claims but tedious and time consuming also. To help redress these problems, blockchain technology can be utilised as is it offers improved security, transparency, auditability, privacy, accountability along with many other advantages. The goal is to create and implement a blockchain-based solution for efficient functioning of insurance system and to prevent such health insurance systems from going bankrupt. The authors have proposed an insurance claim model, MedBlockSure using blockchain architecture for creating interoperability between the insurer, the hospital and the insurance company. The model will aid in maintaining transparency between the insurer and the company while eliminating the requirement of middlemen or agents. The conceptual view of the proposed system using sequence and use case diagrams and data management framework and smart claim processing system is demonstrated.

Abstract Image

MedBlockSure:基于区块链的保险系统
医疗保险在医疗紧急情况下的医疗费用保障中起着至关重要的作用。保险欺诈是一项影响全球大多数经济体的国际性挑战。政府和私人公司提供许多保险计划。为公众提供的许多健康保险计划的成功实施通常受到腐败、欺诈和许多其他与数据相关的问题的威胁。此外,索取保险金的程序不仅在核实索赔方面至关重要,而且冗长而耗时。为了帮助解决这些问题,可以利用区块链技术,因为它提供了改进的安全性、透明度、可审计性、隐私性、可问责性以及许多其他优点。目标是创建和实施基于区块链的解决方案,以有效运作保险系统,并防止此类健康保险系统破产。作者提出了一个保险索赔模型MedBlockSure,使用区块链架构在保险公司、医院和保险公司之间创建互操作性。这种模式将有助于保持保险公司与保险公司之间的透明度,同时消除对中间商或代理人的要求。演示了使用序列和用例图、数据管理框架和智能索赔处理系统的拟议系统的概念视图。
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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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