A Review of Perioperative Databases for Anesthesiology in China: Current Status, Applications, and Challenges
Main Article Content
Keywords
Perioperative period, Database, Anesthetic management, Artificial intelligence, Personalized medicine
Abstract
In recent years, advancements in medical technology, artificial intelligence (AI), and the advent of the big data era has led to the emergence of perioperative databases as crucial tools for enhancing clinical decision-making, optimizing perioperative management, and advancing clinical research. This review provides a systematic evaluation of the evolution of perioperative databases from a global perspective, with a particular emphasis on the current state of the field in China. By synthesizing extant literature, the study assesses technological advancements and clinical utility within anesthesia management while conducting a comparative analysis of domestic and international progress. The review further identifies problems and challenges in database construction, provides suggestions for future development directions, and serves as a reference for anesthesia departments and healthcare institutions to establish robust perioperative data platforms.
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