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A blockchain-based health insurance model enhanced with quadratic voting
Saeed Shouri1, Rasoul Ramezani2
1Ferdowsi University of Mashhad, Mashhad, Iran.
Health Informatics Journal
|May 2, 2025
Summary
This study introduces a blockchain-based health insurance model utilizing quadratic voting (QV) to enhance transparency, fairness, and efficiency. The innovative system addresses traditional insurance challenges, offering a more equitable and customizable approach.
Area of Science:
- Health Informatics
- Computer Science
- Blockchain Technology
Background:
- Traditional health insurance suffers from inefficiencies, fraud, and a lack of transparency and customization.
- Blockchain technology presents a solution through its decentralized structure, smart contracts, and immutable records, improving operational efficiency and transparency.
Purpose of the Study:
- To propose a novel blockchain-based health insurance model.
- To enhance transparency, fairness, and efficiency in health insurance processes.
- To address the limitations of existing health insurance systems.
Main Methods:
- Integration of smart contracts with quadratic voting (QV) for democratic decision-making.
- Implementation of advanced validation techniques for a secure and customizable insurance process.
- Leveraging blockchain's decentralized architecture for trust and reliability.
Main Results:
- Personalized insurance plans are tailored to collective preferences via QV-based decision-making and dynamic pricing.
- Blockchain technology significantly enhances trust and system reliability.
- Quadratic voting promotes inclusivity and fairness in the insurance model.
Conclusions:
- The proposed blockchain and QV system overcomes traditional insurance limitations.
- Offers a scalable, efficient, and equitable alternative for health insurance.
- Aligns individual preferences with broader societal health objectives.
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