AI pre-consultation services are the pioneering application in the medical process.In pre-consultation serv-ices,the core advantages of its application lie in more professional consultation knowledge,better understanding and communica-tion with patients,and more accurate diagnosis.Its typical application scenarios include remote initial consultation,pre-consulta-tion inquiries,intelligent triage and guidance,and intelligent accompanying consultation.Through the innovative application of AI pre-consultation services,the efficiency of diagnosis and treatment,diagnosis accuracy,and patient satisfaction can be signifi-cantly improved.However,issues such as data privacy security,technical accuracy and reliability,medical ethics,and personnel acceptance still need to be further addressed.

AI pre-consultation services are the pioneering application in the medical process.In pre-consultation serv-ices,the core advantages of its application lie in more professional consultation knowledge,better understanding and communica-tion with patients,and more accurate diagnosis.Its typical application scenarios include remote initial consultation,pre-consulta-tion inquiries,intelligent triage and guidance,and intelligent accompanying consultation.Through the innovative application of AI pre-consultation services,the efficiency of diagnosis and treatment,diagnosis accuracy,and patient satisfaction can be signifi-cantly improved.However,issues such as data privacy security,technical accuracy and reliability,medical ethics,and personnel acceptance still need to be further addressed.

Purpose/Significance By investigating and analyzing the characteristics of scientific data citation of scientific data sharing institutions in the field of medical and population health,the paper provides references and guidance for open sharing and standardized ci-tation of scientific data.Method/Process Taking the National Population Health Data Center as an example,the literature analysis meth-od is used to analyze the scientific data citation behavior and its traceability in this field.Result/Conclusion It is found that there are non-standard citation behaviors such as inconsistent labeling positions and missing citation elements in the scientific data in the field of medical and population health,and a large number of open and shared scientific data cannot be effectively traced.It is urgent to improve the standards of scientific data citation,strengthen the management of scientific data platform,enhance the awareness of scientific re-searchers,and promote scientific data sharing and citation.