During the hosting of the Digital Health Asia 2026, the Faculty of Data Science of the City University of Macau (CityU) recently invited Yang Feilong, deputy secretary of the Party Committee of the Third Xiangya Hospital of Central South University (CSU), and Gu Wenda, administrative director of the department of anesthesiology and head of quality control and operations at the Guangdong Provincial First Veterans Hospital, to give academic lectures at CityU.
The two experts shared insights on “transformation and exploratory research of digitalizing medical e-records” and “hospital informatization and quality control operations construction in the AI era”, respectively, offering valuable insights that combined theoretical depth with practical application. Concurrently, CityU and Third Xiangya Hospital of CSU signed a cooperation agreement, marking a substantial step forward in their collaboration in the field of smart healthcare.
During the lecture, Dr. Yang Feilong presented on “transformation and exploratory research of digitalizing medical e-records”, delving into the evolution of medical e-records from structured and paperless to intelligent. He shared the experience of the Third Xiangya Hospital in building intelligent medical e-records that integrate generative function, quality control, medical insurance, and auxiliary medical care, as well as the practical achievements of promoting the application across multiple medical institutions based on Xiangya’s big data knowledge graph, a database of billions of data points combined with large models such as DeepSeek and Qwen.
During the event, CityU and the Third Xiangya Hospital of Central South University held a cooperation agreement signing ceremony. In the presence of guests, Rector Liu Jun and He Qingnan, party secretary of the Third Xiangya Hospital signed the agreement on behalf of their respective institutions, marking a new stage in the cooperation between the two universities and building a solid bridge for subsequent academic research, talent cultivation and technology implementation.
Source: Faculty of Data Science
