经查，该康复医院工作人员将参保人员录入住院系统后，未及时将其从民政系统中退出，导致数据重 叠，由于发现及时，未造成民政养老待遇重复支付。 医保基金监管涉及面广、主体多元、资金量大，传统监管方式难以精准识别"跑冒滴漏"问题。为此，市 纪委监委推动市医疗保障局充分运用大数据手段，依托省级智慧医保监管平台，构建多维度分析模型， 对"超频次、超长期住院""共同住院"等重要风险点实行动态监测，有效提升监管精准度。 "参保人员吴某某在某康复医院使用医保住院治疗期间，其在民政系统的登记状态仍为养老院在院状 态，请立即核查。"近日，大数据分析模型发出预警，提示该康复医院可能存在"医养合谋"骗保问题。 我们随即督促市医疗保障局启动联合执法机制，会同卫健、民政等部门开展现场核查。 联合执法人员责令该院健全完善院内管理制度，加强工作人员业务培训，并对全市康养机构"挂床住 院"等违规行为开展多轮日巡夜检，查实无故不在院病人88人。 此外，市医疗保障局组建专家评审组，每季度开展住院病历交叉评审，重点审核入院指征、临床用药、 诊疗合理性及康复项目适配度等内容。今年以来，共审核住院病历4143份，查实入院指征把关不严病历 403份，追回医 ...

中央纪委国家监委网站 刘远航 此前，云南省纪委监委牵头开展"小切口"整治民生领域突出问题惠民行动，将基本养老服务供给、老年 食堂建设等纳入整治重点。陇川县纪委监委针对市场化运营中可能出现的食材采购猫腻、阶梯价位执行 不严、送餐服务打折扣等问题，通过实地走访、随机抽查、座谈访谈等方式压实职能部门责任，并对财 政补贴管理使用实行全流程跟踪把关，对管理松散、服务缩水的及时约谈，对克扣补贴、侵占利益的从 严查处。 养老服务事关亿万百姓福祉、事关社会和谐稳定。习近平总书记强调："满足数量庞大的老年群众多方 面需求、妥善解决人口老龄化带来的社会问题，事关国家发展全局，事关百姓福祉，需要我们下大气力 来应对。" "掏出手机就能看到敬老院食堂操作间和餐厅的监控画面，看着特别放心。"近日，面对前来回访的河南 省社旗县纪委监委工作人员，桥头镇敬老院老人徐海之的亲属说。为让养老服务更透明、更安心，社旗 县纪委监委采取"四不两直"方式，多次深入乡镇敬老院、村级"幸福大院"，实地了解"明厨亮灶"建设与 管理服务等情况。在社旗县纪委监委的推动下，桥头镇敬老院率先实现"互联网+明厨亮灶"，实现后厨 操作间、储藏室、餐厅、值班室及院内等场景 ...

Core Points - The central theme emphasizes the need for continuous efforts to extend strict governance of the Party to grassroots levels, focusing on addressing corruption and improper conduct that affects the public [1] - The reports from the Central Commission for Discipline Inspection (CCDI) highlight ongoing actions against formalism and corruption, with specific cases illustrating the commitment to tackling "fly and ant corruption" [1][2] Group 1: Actions and Measures - The Shanghai Chongming District has actively addressed complex cases related to rural collective asset management and healthcare, resulting in the handling of 376 problem clues and the initiation of 385 cases as of November 6 [2] - Hubei's Zigui County has implemented a comprehensive "work guide" with 27 measures to enhance supervision across various levels of government, leading to the identification of a case involving the misappropriation of 12,000 yuan in project funds [3] - Shanxi's Datong City has engaged the public in the oversight process through a combination of public disclosure and satisfaction surveys, resulting in the recovery of 358,000 yuan from property management violations, benefiting over 7,000 residents [4] Group 2: Innovations in Supervision - The use of big data for supervision in Shandong's Qingyun County has led to the identification of over 3,000 suspicious issues and the conversion of 300 problem clues, showcasing the effectiveness of data-driven approaches in combating corruption [5] - The emphasis on grassroots engagement and innovative supervision methods is seen as crucial for enhancing the effectiveness of anti-corruption efforts and ensuring that the public feels the benefits of strict governance [5]

Core Insights - The article emphasizes the importance of addressing persistent issues in various sectors, including "campus meals," rural collective asset management, rural revitalization fund supervision, medical insurance fund management, and elderly care services [1] Group 1: Supervision and Data Utilization - Jiangsu Province's Suqian City is innovating methods for supervising the use of rural revitalization funds, utilizing a big data supervision cloud platform to enhance effectiveness in addressing issues [1] - The platform has integrated over 800,000 data entries and issued more than 300 warnings, showcasing the scale of data-driven supervision [1] Group 2: Problem Identification and Case Management - The article discusses a systematic approach to analyzing warning information, leading to in-depth investigations that uncovered 263 problem leads and resulted in 21 formal cases [2] - A specific case involving the misappropriation of farmland subsidy funds was highlighted, demonstrating the effectiveness of targeted supervision [2] Group 3: Collaborative Supervision Mechanisms - The integration of warning information into various supervisory frameworks, such as inspection and auditing, has led to the identification of 43 issues related to project construction and 23 issues in agricultural disaster relief [3] - The article underscores the importance of a comprehensive supervision mechanism that clarifies responsibilities and promotes systemic governance [3] Group 4: Continuous Improvement and Governance - The focus on problem-oriented strategies and data-driven insights aims to enhance the governance of rural revitalization fund usage, ensuring that issues are addressed effectively [4] - The establishment of a refined regulatory process and targeted institutional improvements is intended to promote effective source governance [4]

Core Insights - The article highlights the efforts of Shenyang's disciplinary inspection and supervision agencies in addressing issues within the property management sector, focusing on enhancing transparency and accountability in community management [1][2][3] Group 1: Governance and Oversight - Shenyang's disciplinary inspection agencies have initiated a series of measures to tackle prominent issues in property management, including the establishment of homeowners' committees and public disclosure of financial information [1] - The agencies have coordinated with various departments such as housing, public security, and emergency services to address property management issues effectively [1][2] - A comprehensive approach has been adopted to gather information on property management problems over the past five years, utilizing channels like public complaints and big data supervision [1][2] Group 2: Community Engagement and Technology - The agencies have focused on resolving community concerns, such as the safety of old elevators, by facilitating funding and coordination for their repair and replacement [2] - A property management big data supervision system has been developed to monitor public revenue usage and enhance management clarity [3] - The introduction of a real-name voting system for homeowners aims to improve participation in community governance and ensure the authenticity of voting processes [3] Group 3: Long-term Solutions and Impact - The initiatives are designed not only for immediate problem-solving but also for establishing long-term governance mechanisms to prevent future issues [3] - The focus on property management is seen as crucial for enhancing residents' quality of life and sense of security [3]

Group 1 - The core idea of the news is the implementation of digital supervision methods in Luoyang, Henan Province, to enhance governance and address issues of inefficiency and misconduct among public service staff [1][2][3] - The "Code Supervision" initiative includes 800 staff members across 126 comprehensive service windows and 2,346 service items, allowing citizens to report issues directly via QR codes [1] - The integration of big data with grassroots supervision aims to improve the detection of problems in key areas such as social security funds and subsidies, thereby combating local corruption [1] Group 2 - The Luolong District's "One Code" supervision platform addresses transparency issues in rural collective asset management, consolidating data from 10 departments and 157 villages [2] - The platform has successfully identified and rectified irregularities in collective asset management, such as adjusting rental prices and contract terms to better protect community interests [2] - The use of big data analytics enhances the timeliness and effectiveness of problem detection in various sectors, including rural governance [2] Group 3 - The Luoning County's use of a public vehicle management service platform exemplifies "smart supervision" by monitoring vehicle usage and maintenance to address potential misconduct [3] - The Yiyang County focuses on healthcare fund management, employing data screening and monitoring platforms to uncover fraudulent activities related to medical insurance [3]

Core Insights - The article highlights the effective use of big data in monitoring agricultural subsidies, leading to quicker resolution of issues compared to traditional methods [1][2] - The establishment of a data-sharing mechanism among various departments is emphasized as a key strategy for enhancing supervision and addressing public concerns [2] Group 1: Big Data Supervision - The "Big Data Supervision Model" for agricultural subsidies enabled the rapid identification and resolution of irregularities, such as duplicate or excessive subsidy claims, within two weeks [1] - The model integrates data from multiple sources, allowing for proactive monitoring and timely intervention in cases of subsidy mismanagement [2] Group 2: Community Impact - The implementation of the "Unclaimed Senior Subsidy Monitoring Model" has resulted in improved communication with residents, ensuring that eligible individuals receive benefits without needing to apply [2] - Feedback from the community indicates a positive reception of the proactive measures taken by the supervisory body, enhancing public trust [2] Group 3: Continuous Improvement - The supervisory body is committed to ongoing enhancement of the big data supervision system, focusing on leveraging technology to improve efficiency and effectiveness in monitoring [3]

Core Insights - The implementation of an online price review system at Sun Yat-sen University Third Affiliated Hospital aims to prevent non-compliant medical practices and reduce corruption risks through proactive monitoring [1][2] - The focus on digital and intelligent supervision systems across affiliated hospitals enhances the ability to identify and address issues in medical practices, particularly in drug prescription and usage [2][4] Group 1: Digital Supervision Implementation - The hospital's management information system now includes a price online review module that intercepts non-compliant medical orders, promoting a shift from passive reporting to active detection of irregularities [1] - The integration of various data systems, such as outpatient electronic prescription and inpatient electronic medical order systems, allows for cross-analysis of data, improving the precision of problem detection [2][3] Group 2: Risk Management and Prevention - The focus on "preventive treatment" in supervision aims to address potential issues before they escalate, with targeted development of monitoring modules for high-risk areas [2][4] - The establishment of an AI-based monitoring system at Sun Yat-sen Memorial Hospital enables early warning for abnormal data related to drug usage and medical income, enhancing the hospital's ability to respond to irregularities [2][3] Group 3: Enhancing Governance and Compliance - The use of big data supervision not only identifies corruption risks but also promotes governance by addressing systemic issues through the issuance of disciplinary recommendations [4] - Continuous efforts to strengthen data-driven supervision are aimed at improving the overall ethical standards and operational practices within the healthcare sector [4]

Core Insights - The article highlights the effectiveness of big data supervision in enhancing transparency and accountability in rural collective land management in Shenyang, Liaoning Province [1][2][3] Group 1: Big Data Supervision Implementation - Shenyang's Discipline Inspection and Supervision Commission has established a big data supervision system to monitor rural collective land issues, leading to the recovery of 680 acres of grassland and generating 2.72 million yuan in contract fees for the village collective [1] - The city has developed a comprehensive database and communication mechanisms with relevant departments to improve the efficiency of supervision and management of rural collective assets and funds [2] - The upgraded big data supervision platform has been transformed into a provincial-level system, enhancing the efficiency and standardization of public power supervision across Liaoning Province [2] Group 2: Addressing Corruption and Mismanagement - A big data model has been created to identify and address issues related to improper dining and entertainment expenses within government agencies, leading to the investigation and punishment of officials involved in excessive business receptions [3] - The commission has focused on key areas such as urban and rural subsistence allowances and subsidies for vulnerable groups, utilizing big data to detect and address fraudulent claims [3][4] - Continuous optimization of the digital disciplinary inspection and supervision system is planned to further enhance the effectiveness of oversight and management [4]

Core Viewpoint - The Tianjin East District's disciplinary inspection and supervision authorities are actively addressing issues related to the improper application and distribution of agricultural subsidies, ensuring compliance with national policies aimed at rural revitalization [1][2][3][4] Group 1: Issues Identified - A case of fraudulent claims for agricultural subsidies was discovered, where a cooperative falsely reported crop planting areas to obtain funds for daily expenses [1] - The East District's disciplinary committee has taken disciplinary actions against responsible individuals and has provided feedback to improve the management of subsidy distribution [1] Group 2: Measures Implemented - The district is implementing a "check, rectify, and manage" approach to address issues of false claims for agricultural subsidies, including issuing recommendations and enhancing internal control management [1] - A big data supervision platform has been established to monitor key areas, including agricultural subsidies, allowing for the identification of irregularities and improving the efficiency of problem detection [2][3] Group 3: Results Achieved - The North Tang Street disciplinary committee has confirmed inaccuracies in subsidy distribution and has taken steps to recover overpaid funds while developing new management guidelines for subsidy distribution [3] - The Tianjin disciplinary committee has resolved issues related to delayed subsidy payments, amounting to 1.19 billion yuan, benefiting over 19,000 farmers and business entities [4]