Abstract: Background　Currently, the scientific and technological achievement data in hospitals generally have problems such as inconsistent standards, incomplete coverage of achievement types, and uneven data quality, which restrict the refinement and scientificization of scientific research evaluation. Objective　To construct a basic data set for the output of scientific research achievements of hospital healthcare professionals, providing standardized support for the standardized collection, integration, sharing, and evaluation of scientific research achievement data. Methods　The research was conducted by combining literature analysis, standard library search, policy demand analysis, and expert consultation. The literature analysis part retrieved databases such as CNKI, Wanfang, VIP, PubMed, and Web of Science (from January 2000 to June 2025), and also consulted the national standard library database, the national intellectual property bureau database, the world intellectual property organization database, and relevant health administrative management policy documents, extracting achievement evaluation-related fields around hospital scientific research performance evaluation, scientific achievement evaluation, papers, patents, standards, technology and new business transformation, etc., to form a data element candidate pool. On this basis, combined with the information of new technologies and new businesses application, scientific achievement database, standard database, patent database, and book database of each hospital, a data set framework was initially constructed. 20 experts engaged in hospital big data, hospital management, and health information standardization work were invited for two rounds of Delphi expert consultation. Based on the expert opinions, the data set framework, data element settings, and data dictionary were modified and improved. The data set construction followed the "Basic Principles and Methods of Information Classification and Coding" and relevant standards for health information data elements. The attributes of data elements, identifiers, names, definitions, representations, and data dictionaries were standardizedly described. Results　After two rounds of expert consultation, the final formation of the basic data set for the scientific research achievements output of hospital healthcare professionals was achieved, including 10 basic data sets such as personnel basic information, institution basic information, new technologies and new businesses, scientific achievement awards, standards, patents, papers, books, scientific research projects, and technology and new business transformation, totaling 107 data elements and 24 data dictionaries. The recovery rate of the two rounds of consultation questionnaires was 100%, and the average expert authority coefficient was 0.81; the expert coordination coefficients of the second round of data set, data element, and dictionary were 0.714, 0.793, and 0.730 respectively, indicating good consistency of expert opinions. Conclusion　The standardized data set provides support for the standardized collection, consistent expression, data sharing, and evaluation application of scientific research achievement data of various types of hospitals for healthcare professionals.