SBIR Phase I: Intelligent Interactive Guidance System for Litigated Insurance Claims

SBIR第一期：保险理赔智能互动引导系统

• 批准号: 2329603
• 负责人: James Chapman
• 金额: $ 27.5万
• 依托单位: MAYFAIR GROUP LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-01-15 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2329603&HistoricalAwards=false
• 关键词: SBIR; Phase; Intelligent; Interactive; Guidance

This Small Business Innovation Research (SBIR) Phase I project enhances the efficiency, fairness, and cost-effectiveness of the United States' property and casualty insurance claims processes. This project aims to develop an advanced, artificial intelligence (AI) powered guidance system that will transform how litigated insurance claims are managed and resolved. By enhancing the decision-making process of claims professionals with automated, evidence-backed guidance, the system will significantly reduce the time and expense currently required to resolve claims, resulting in quicker payouts to claimants and decreasing the burden of legal costs. The system's innovative approach will assist in identifying critical case information, supporting claim professionals in making more informed decisions. The project has the potential to improve the overall transparency and reliability of the claims litigation processes, engendering greater trust in the insurance system. Additionally, by streamlining operations, it could lead to more efficient use of resources within the insurance industry, lowering insurance premiums for consumers and businesses. This SBIR Phase I project represents an opportunity to significantly improve the processing and handling of litigated insurance claims. The project’s research objectives include the development of a novel approach for information extraction from massive unstructured data collections typical in insurance claims and summarization frameworks for presenting the extracted information, enabling a concise yet comprehensive view of complex claims data. The project aims to design a visualization interface that aids understanding and facilitates more informed decision-making by claims professionals. The research applies cutting-edge AI and machine learning techniques to these objectives, expanding past the boundaries of current capabilities in data analytics within the insurance industry. The anticipated technical results include demonstrating the feasibility of this innovative system to quickly and accurately present relevant decisional information from a broad array of data, providing users with essential insights for making decisions. By improving how information is processed, summarized, and presented, the project is expected to lead to better, faster decisions in litigated insurance claims management, setting a new standard for technological applications in the field.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该小型企业创新研究 (SBIR) 第一阶段旨在提高美国财产和伤亡保险索赔流程的效率、公平性和成本效益。该项目旨在开发先进的人工智能 (AI) 支持的指导系统。该系统将改变诉讼保险索赔的管理和解决方式，通过自动化、有证据支持的指导来增强索赔专业人员的决策流程，该系统将显着减少目前解决索赔所需的时间和费用，从而更快地向索赔人付款。并减轻法律费用负担。该系统的创新方法将有助于识别关键案件信息，支持索赔专业人员做出更明智的决策，该项目有可能提高索赔诉讼流程的整体透明度和可靠性，从而增强对保险系统的信任。简化运营，可以更有效地利用保险行业内的资源，降低消费者和企业的保险费。该 SBIR 第一阶段项目为显着改善诉讼保险索赔的处理和处理提供了机会。小说的发展该项目旨在设计一个可视化界面，以帮助理解并促进更明智的决策。该研究将尖端的人工智能和机器学习技术应用于这些目标，突破了保险行业当前数据分析能力的界限，预期的技术成果包括证明这一创新系统的可行性。准确呈现相关决策信息通过改进信息的处理、总结和呈现方式，该项目有望在诉讼保险索赔管理方面做出更好、更快的决策，为技术应用树立新标准。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。