Objective:To construct an intelligent medical equipment procurement parameter generation system to achieve clear expression of medical equipment procurement parameters formulation and accurate demand matching,and to improve the recognition of bidding results and bidding efficiency.Methods:Based on natural language processing(NLP),web crawler and machine learning methods,an automatic data update mechanism was built to achieve massive procurement parameter data extraction,and the entity recognition method was used for the analysis of past procurement parameter data to realize the automatic extraction of entities such as medical equipment information and parameter names.Based on the similarity device recommendation and medical equipment template derivation method,an intelligent medical equipment procurement parameter generation system was constructed by using a wizard-based interactive tool.The difference between the use of intelligent medical equipment procurement parameter generation system and by 4 four three-year-experienced bidding and procurement personnel in the formulation of 10 medical equipment procurement parameter documents was compared.Results:The average generation time of medical equipment procurement parameter files using the intelligent medical equipment procurement parameter generation system was 15.23 minutes,the average time for of medical equipment procurement parameter files formulated by bidding and procurement personnel was 173.40 minutes.According to the evaluation of bidding procurement experts,the efficiency and quality of the medical equipment procurement parameter file generated by the intelligent medical equipment procurement parameter generation system were better than those formulated by three-year-experienced bidding procurement personnel.Conclusion:The application of intelligent medical equipment procurement parameter generation system to the formulation of medical equipment procurement parameters can achieve professional information collection,storage,and management of medical equipment procurement parameters,shorten the cycle of medical equipment bidding parameter formulation,provide intelligent auxiliary generation tools for medical equipment bidding and procurement practitioners,improve the efficiency of bidding parameter formulation,and enhance the efficiency of medical equipment procurement.
Natural language processing(NLP)Medical equipmentBidding and procurementParameter formulationNamed entity recognition
国家科技期刊平台
NSTL
万方数据
