This study is based on the Nicheng Cohort study. This study intends to analyze whether AI assistance can effectively improve the efficiency and accuracy of quality control of data collected in large-scale epidemiological surveys based on traditional quality control processes.
Be proficient in using computers;
The person responsible for questionnaire quality control needs to have good dialect recognition ability;
Have a basic understanding or high acceptance of AI-assisted tools, and be able to adapt to the learning and application of new technologies
Be able to participate in the research throughout the process, abide by the research process, receive training, and be willing to complete quality control tasks as required.
The person responsible for questionnaire quality control cannot understand or recognize Shanghai Nanhui dialect proficiently;
Unfamiliar with AI-assisted tools and difficult to accept technical operations;
Unable to participate in the research, receive training or complete the specified tasks due to other work or academic reasons;