Abstract
INTRODUCTION: The digital transformation of governance in public hospitals is crucial for enhancing integrity and compliance. This study investigates the design, implementation, and impact of an Intelligent Integrity Supervision Platform in a hospital setting, aiming to provide a replicable model for data-driven ethical governance. METHODS: A case study approach was employed at Hangzhou Xixi Hospital, combining system analysis with outcome evaluation. The platform integrated multi-source data and established real-time early-warning mechanisms. Quantitative data on integrity incidents, medical disputes, and patient satisfaction were collected from quarterly reports (2024-2025) and analyzed to compare pre- and post-implementation periods. RESULTS: Following the platform's launch, integrity risk incidents decreased stepwise, achieving a 100% reduction (zero incidents) in the second half of 2025 compared to the baseline. Medical disputes fell by 75% year-on-year. Patient satisfaction metrics improved, including an increase in the platform complaint resolution rate from 95.1% to 97.3% and a 19.7% decline in discharge follow-up issue rates. DISCUSSION: The platform demonstrates the efficacy of digital-intelligent systems in transforming ethical governance by enabling proactive risk prevention, standardizing operations, and fostering accountability. It aligns with global efforts to leverage technology for anti-corruption in healthcare. The study concludes that such platforms serve as strategic tools for systemic governance reform, contributing to both institutional integrity and patient safety.