国家知识产权局信息显示，霖久智慧（广东）科技有限公司申请一项名为"物业计划任务反馈文件的智 能审核方法、装置和介质"的专利，公开号CN121029924A，申请日期为2025年7月。专利摘要显示，本 发明提出了物业计划任务反馈文件的智能审核方法、装置和介质，该方法包括：将不同审核标准的多个 候选规则逐一应用至智能审核引擎，将同一审核标准下的多个文件审核结果保存到结果集合；通过融合 模块基于全部的规则审核结果确定目标计划任务的任务审核评分，基于文件审核结果生成审核分析信 息，将任务审核评分和审核分析信息确定为目标计划任务的任务审核结果。根据本发明实施例的技术方 案，能够在智能审核模块部署不同审核标准的多个候选规则并逐个应用至智能审核引擎，通过结果集合 收集同一审核标准下的审核结果，通过融合模块基于多个结果集合融合出任务审核结果并自动生成审核 分析信息，有效提高计划任务的审核效率。 作者：情报员 声明：市场有风险，投资需谨慎。本文为AI基于第三方数据生成，仅供参考，不构成个人投资建议。 本文源自：市场资讯 天眼查资料显示，霖久智慧（广东）科技有限公司，成立于2019年，位于珠海市，是一家以从事软件和 信息技术服务 ...

Core Viewpoint - The article emphasizes the importance of regular supervision of medical insurance funds to ensure their safe operation, improve usage efficiency, standardize medical service behaviors, and reduce the burden on patients seeking medical care. Traditional regulatory methods are inadequate in addressing new types of violations arising from reforms in medical insurance payment methods, necessitating a shift towards intelligent auditing using big data and smart technologies [1][2][3]. Group 1: Development of Intelligent Auditing - The development of intelligent auditing has been guided by policies since 2018, with significant milestones including the promotion of real-time monitoring and strict regulation of medical behaviors [2]. - By 2023, the National Medical Insurance Administration aims to implement a nationwide intelligent monitoring system, with a goal of establishing a standardized and scientific auditing framework by the end of 2025 [2][3]. Group 2: Features of Intelligent Auditing System - The intelligent auditing system features a layered architecture that integrates diverse data sources, enabling real-time analysis and monitoring of medical expenses [4]. - A dynamic and flexible rule engine is central to the system, allowing for the adaptation of auditing rules based on evolving medical policies and practices [5]. Group 3: Impact on Medical Insurance Regulation - The intelligent auditing system significantly enhances the efficiency of medical insurance regulation, processing over 20 million cases daily with an accuracy rate exceeding 92% [7]. - It establishes unified standards and objective rules, improving the credibility and authority of medical insurance oversight [7]. Group 4: Governance and Collaboration - The system promotes a shift from external control to internal motivation for compliance among medical institutions, encouraging proactive adherence to regulations [8]. - It fosters a collaborative governance model where feedback from medical institutions can lead to the dynamic updating of rules, enhancing the system's accuracy and inclusivity [8]. Group 5: Enhancing Service Quality - Intelligent auditing improves settlement efficiency for insured individuals, enhancing their sense of satisfaction and security regarding medical services [10]. Group 6: Future Outlook - There is a need for improved policy interpretation and training for medical staff to ensure a better understanding of auditing rules and standards [11]. - Emphasis on data security and privacy protection is crucial, given the sensitive nature of medical insurance data [13]. - The establishment of relevant laws and regulations is necessary to support the legal and compliant application of intelligent auditing technologies [14].