Purpose/Significance A scientific and systematic method is adopted to construct an electronic medical record (EMR) data quality index system to help improve the quality of EMR data and provide references for the improvement of relevant policies. Method/Process Literature review is carried out by using the critical appraisal skills programme system review checklist. The data quality assessment index system is constructed by leveraging literature review in combination with experts’ opinions. The questionnaire survey and statistical analysis are used for verification, and the entropy weight method and fuzzy model are combined for comprehensive evaluation. Result/Conclusion The data quality assessment index system including 16 indicators is constructed in this study. The comprehensive score of the system based on the questionnaire result is 90.445 points, and the membership level is “very important” (the membership score is 62.5%), indicating that the system is in line with the focus of EMR users.