Thanks to the comprehension of health data literacy courses in medical colleges and universities at home and abroad, this paper proposed a multi-level health data literacy education system featuring knowledge maps for undergraduates, postgraduates and students majoring in medical informatics, from basic knowledge of health data, basic technology of knowledge maps, analysis methods and tools, application of knowledge maps and health data ethics. The study results have positive significances for improving students' data processing ability in medical colleges and universities, and promoting medical development fundamentally.

Objective To investigate the application value of rice bag in 1.5T MR imaging of maxillofacial frequency selective saturated fat suppression(FS)sequence.Methods Forty-one patients with maxillofacial MR examination were collected.Rapid fast spin echo(FSE)FS T2 routine scan and rice bag FSE FS T2 special scan were used to evaluate and analyze the sequence images of the two kinds by two experienced associate chief physicians in the department according to the Likert 7-point scoring system.The evaluation included FS,magnetic sensitive artifact,motion artifact,and overall image quality.Wilcoxon sign rank sum test was used to analyze the difference of image quality scores,and Kappa consistency test was used to analyze the correlation between two viewers.Results All the 41 patients completed the examination,and the FSE FS T2 plus rice bag group had significantly higher FS,magnetic sensitive artifact,motion artifact and overall image quality than the conventional FSE FS T2 group,with statistical significance(P<0.01).Kappa consistency was good in correlation analysis between the two viewers(Kappa value=0.737-0.877,P<0.01).Conclusion The application of rice bag in the 1.5T MR maxillofacial FS sequence scan has the advantages of good image quality,good FS effect and few artifacts,which can better display the maxillofacial anatomical structure and lesions,and has important clinical application value for the diagnosis of maxillofacial diseases.