（原标题：异常数据引发飞行检查，国家医保局精准查处多起典型案例） 经济观察网 据国家医保局官网信息，依托全国统一的医保信息平台，国家医保局精准查处多起异常数 据典型案例，做到发现一起、查处一起、整改一起，医保数据对监管的赋能作用持续凸显。 神秘未知医生大量开药 常规药品数据监测发现，某名医生开具烟酰胺总金额高于全国平均水平200余倍。异常数据引起医保部 门关注，迅速组织监管力量对相应医院医保结算数据作重点筛查，发现较多疑点数据，医保基金飞检组 随即入驻。 检查发现，烟酰胺开方量异常由"数据质量塌方"造成。该院上传的部分住院费用数据，开单医生处未填 写真实医生姓名，而是在数据处理中被填充为"未知"。数据上传国家医保信息平台后，该院多位"未 知"医生汇总的烟酰胺开方量触发异常报警，暴露定点医疗机构数据填报不规范和数据校验机制缺失的 叠加问题。 高龄老人开展辅助生殖 飞检组坚持实事求是，向被检医院及当地医保部门反馈数据问题并要求整改，未作处罚。对检查发现的 其他违法违规使用医保基金问题，依法依规作出处理。 日常数据监测发现，某医院为73岁老人开展"无痛取卵"，另一医院则为86岁老人开展"试管内受精"。发 现问题后， ...

Core Viewpoint - The article emphasizes the importance of data quality management in healthcare institutions, highlighting how improper data handling can lead to significant regulatory issues and inefficiencies in the healthcare system [3][15]. Group 1: Case Studies of Data Issues - A doctor was found to have prescribed niacinamide at a total amount over 200 times the national average, leading to an investigation that revealed data quality issues due to the use of "unknown" in place of actual doctor names [5][6]. - An elderly patient was mistakenly recorded as undergoing "painless ovum retrieval" instead of the intended "painless gastrointestinal endoscopy" due to incorrect data entry, prompting the need for improved data validation mechanisms [8][9]. - A doctor was found to have issued multiple prescriptions for semaglutide in a very short time frame, indicating potential fraudulent activity, which led to further investigation and corrective actions against the involved medical personnel [10][11]. Group 2: Data Quality Management Recommendations - The article stresses that healthcare institutions must take responsibility for data quality management, ensuring strict audits and timely corrections to prevent regulatory alerts and unnecessary inspections [15]. - It calls for the establishment of a closed-loop management system for problem detection, alerts, and resolution, leveraging technology for better monitoring and cross-verification of data [15]. - Collaboration between healthcare institutions and regulatory bodies is essential to safeguard public funds and ensure accurate data reporting [15].

Core Insights - The National Healthcare Security Administration (NHSA) has revealed multiple cases of illegal and irregular activities in the healthcare sector, emphasizing the importance of data quality and regulatory oversight in the era of big data [1][12]. Group 1: Data Quality Issues - A doctor was found to have prescribed niacinamide at a total amount over 200 times the national average, leading to an investigation that uncovered data quality issues due to incomplete information in the hospital's records [2]. - A 73-year-old patient was mistakenly recorded as undergoing "painless egg retrieval" instead of a "painless gastrointestinal endoscopy" due to a data entry error, highlighting the need for better data validation mechanisms [3][5]. - An 86-year-old patient was incorrectly diagnosed with "in vitro fertilization" due to a similar data entry mistake, which further underscores the importance of accurate data entry in healthcare [5][6]. Group 2: Regulatory Actions - The NHSA's flying inspection team found that a doctor was involved in issuing multiple prescriptions for semaglutide in a short time frame, indicating potential fraudulent activities, which led to further investigations [7]. - The inspection revealed that a medical representative was collecting social security cards from multiple individuals to facilitate fraudulent prescriptions, prompting the hospital to take disciplinary actions against the involved doctor [7]. - An anomaly was detected where male patients were recorded as receiving hysteroscopy services due to coding errors, which triggered a regulatory alert and necessitated a review of the hospital's coding practices [8][11]. Group 3: Recommendations for Improvement - The NHSA has called for healthcare institutions to enhance their data quality management practices, emphasizing the need for strict audits and dynamic checks before data submission [12]. - It is recommended that healthcare institutions and NHSA collaborate closely to ensure accurate data entry and monitoring, thereby safeguarding public funds and improving healthcare service delivery [12].

Core Insights - Company will showcase its flagship data quality solutions and core services at two major industry events in China, aimed at e-commerce and logistics enterprises [1][2] - The establishment of a local office in China reflects the company's commitment to support global enterprises through localized services and technical expertise [1] Group 1: Industry Events - Company will debut at the China Cross-Border E-Commerce Exhibition (CCBEC) from September 17-19 and the China (Shenzhen) International Logistics and Supply Chain Expo (CILF) from September 24-26 [2] - The booth numbers are 16C68 for CCBEC and 1B394 for CILF [2] Group 2: Data Quality Solutions - Melissa's global address verification tool is designed for cross-border businesses, supporting validation, correction, and standardization of customer data from over 240 countries and regions [2] - The Global Express Entry feature allows for instant address auto-completion, significantly reducing input errors and ensuring data accuracy [2] - Additional services include global phone number verification and email verification, enhancing communication efficiency and reducing bounce rates [2] Group 3: Local Market Adaptation - The data quality tools have been optimized for export-oriented markets like China, leveraging authoritative reference data for efficient global address, phone number, and email validation [2] - The company is prepared to provide precise support for the vast Chinese market, ensuring billing and delivery addresses are accurate and compliant with local standards [2]