A Novel Voting System for Medical Catalogues in National Health Insurance

Xingyuan Liang, Haibao Wen
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Abstract

This study explores the conceptual development of a medical insurance catalogue voting system. The methodology is centred on creating a model where doctors would vote on treatment inclusions, aiming to demonstrate transparency and integrity. The results from Monte Carlo simulations suggest a robust consensus on the selection of medicines and treatments. Further theoretical investigations propose incorporating a patient outcome-based incentive mechanism. This conceptual approach could enhance decision-making in healthcare by aligning stakeholder interests with patient outcomes, aiming for an optimised, equitable insurance catalogue with potential blockchain-based smart-contracts to ensure transparency and integrity.
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全国医疗保险医疗目录的新型投票系统
本研究探讨了医疗保险目录投票系统的概念发展。该方法的核心是创建一个由医生投票决定是否纳入治疗项目的模型,旨在体现透明度和完整性。蒙特卡罗模拟的结果表明,在药品和治疗方法的选择上达成了稳健的共识。进一步的理论研究建议纳入基于患者结果的激励机制。这种概念性方法可以通过将利益相关者的利益与患者的结果相统一来加强医疗保健决策,从而实现优化、公平的保险目录,并通过潜在的基于区块链的智能合同来确保透明度和完整性。
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