Published on in Vol 9, No 1 (2021): January
![Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study Assessing the International Transferability of a Machine Learning Model for Detecting Medication Error in the General Internal Medicine Clinic: Multicenter Preliminary Validation Study](https://asset.jmir.pub/assets/7be7f73861f8b086dcf9f84e47838710.png 480w,https://asset.jmir.pub/assets/7be7f73861f8b086dcf9f84e47838710.png 960w,https://asset.jmir.pub/assets/7be7f73861f8b086dcf9f84e47838710.png 1920w,https://asset.jmir.pub/assets/7be7f73861f8b086dcf9f84e47838710.png 2500w)
1 Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States
2 College of Medical Science and Technology, Graduate Institute of Biomedical Informatics, Taipei Medical University, Taipei City, Taiwan
3 Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
4 Doctor of Public Health Program, Harvard TH Chan School of Public Health, Boston, MA, United States
5 Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, United States
6 Department of Emergency Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
7 International Center for Health Information Technology, Taipei Medical University, Taipei City, Taiwan
8 Division of General Internal Medicine and Primary Care, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
9 Graduate Institute of Biomedical Informatics, College of Medical Science and Technology, Taipei Medical University, Taipei City, Taiwan
10 Department of Dermatology, Taipei Municipal Wan Fang Hospital, Taipei City, Taiwan
11 Clinical and Quality Analysis, Information Systems, Partners HealthCare, Somerville, MA, United States
*these authors contributed equally