Construction and Application of an Intelligent Health Insurance Development Level Evaluation System Based on the Delphi-Entropy Method / 中国医院管理

Objective It aims to construct an evaluation index system for the development level of intelligent health insurance,which can serve as a reference for health insurance management departments in assessing the develop-ment level of intelligent health insurance and the implementation of health insurance informatization.Methods Key events in intelligent health insurance were identified based on event system theory and text analysis.The evaluation index system was determined through a combination of expert interviews and Delphi expert consultations.The entro-py method was used to calculate the weights of each index,followed by the assessment of the current and ideal de-velopment levels.Results A total of 16 experts were consulted.After two rounds of Delphi expert consultation,two first-level indicators and 18 second-level indicators were finally included in the system.The current development level of intelligent health insurance in China is at the intelligent development stage(2.524 points),while the ideal de-velopment level is at the intelligent improvement stage(4.073 points).The positivity coefficient of both rounds of Del-phi expert consultation was 100%,with an authority coefficient of 0.842,and the degree of expert coordination im-proved with each round.Conclusion The constructed evaluation index system exhibits high scientificity,stability,and generalizability.It can provide an effective evaluation tool for the development of intelligent health insurance in various pooled areas.

Design and Construction of a Face Phenotype-Disease-Genotype Association Knowledge Base for Intelligent Health Application / 医学信息学杂志

Purpose/Significance To elucidate the complex relationship among face phenotype-disease-gene,and to explore the underlying mechanisms of their interactions.Method/Process Based on scientific literature from the PubMed database,natural language processing tools and manual filtering methods are used to extract the knowledge of the concept and relationship of face phenotype-disease-gene reported in the existing literature,and a knowledge base is constructed.Result/Conclusion The study completes the framework design and construction of the knowledge base of the face phenotype-disease-genotype for intelligent health application,which lays a foundation of both data and theory for exploring the interplay between face phenotype-disease-gene,as well as the potential application of face phenotype in disease diagnosis.