Enhancing healthcare quality and management: AI-driven smart consortium practices at Dapeng Medical Group, Shenzhen

To evaluate the impact of smart healthcare consortium management practices, utilizing artificial intelligence (AI) to enhance healthcare service quality and operational efficiency at Dapeng Medical Group, Shenzhen.

A case study analysis of smart healthcare initiatives focusing on AI-driven improvements in patient care and management processes.

Dapeng Medical Group, a comprehensive medical institution in Shenzhen, China.

Patients receiving care within the Dapeng Medical Group, along with healthcare providers and administrative staff involved in the implementation of the smart healthcare consortium.

The initiative incorporated advanced technologies, including AI, cloud computing, and the Internet of Things (IoT), to streamline healthcare operations. Key performance metrics such as patient satisfaction, waiting times, diagnostic accuracy, and resource utilization were monitored to assess the effectiveness of the smart healthcare consortium. To clarify the effectiveness of Dapeng Medical Group's artificial intelligence technologies in smart healthcare consortium management, this study compares relevant management data from before AI adoption (2022) and after AI enablement (2025).

The implementation led to a 25% increase in patient satisfaction, 14% reduction in average waiting times and 34% reduction in the consultation duration, a 29% reduction in error rate of online pre-diagnostic precision.

The integration of AI and smart technologies into healthcare management significantly improved service quality, operational efficiency, and patient outcomes at Dapeng Medical Group. These findings suggest that smart healthcare consortia can serve as a model for future healthcare innovations, ensuring high-quality, efficient, and patient-centered care.