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]