Published on in Vol 23, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25929, first published .
Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study

Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study

Evaluation Framework for Successful Artificial Intelligence–Enabled Clinical Decision Support Systems: Mixed Methods Study

Mengting Ji   1, 2 , MD ;   Georgi Z Genchev   3, 4, 5 , PhD ;   Hengye Huang   1 , MD ;   Ting Xu   1 , BA ;   Hui Lu   3, 4, 6 , PhD ;   Guangjun Yu   1, 7 , PhD

1 School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China

2 Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China

3 Center for Biomedical Informatics, Shanghai Children's Hospital, Shanghai, China

4 SJTU-Yale Joint Center for Biostatistics, Shanghai Jiao Tong University, Shanghai, China

5 Bulgarian Institute for Genomics and Precision Medicine, Sofia, Bulgaria

6 Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China

7 Shanghai Children’s Hospital, Shanghai Jiao Tong University, Shanghai, China

Corresponding Author: