1. Design, implementation and evaluation of a spiral module combining data science, digital health and evidence-based medicine in the undergraduate medical curriculum: A mixed methods study.
- Author
-
Al-Shakarchi, Nader, Upadhyay, Jaya, Beckley, Ivan, Gishen, Faye, Di Iorio, Anna, Stephens, Robert, Clegg, Sarah, Lampe, Fiona C., and Banerjee, Amitava
- Subjects
- *
DATA science , *MEDICAL informatics , *SATISFACTION , *DIGITAL health , *COURSE evaluation (Education) , *UNDERGRADUATE programs , *DESCRIPTIVE statistics , *PHYSICIANS' attitudes , *STUDENTS , *CURRICULUM planning , *RESEARCH methodology , *MEDICAL schools , *COLLEGE teacher attitudes , *EVIDENCE-based medicine , *STUDENT attitudes - Abstract
Background: Digital health, data science and health informatics are increasingly important in health and healthcare, but largely ignored in undergraduate medical training. Methods: In a large UK medical school, with staff and students, we co-designed a new, 'spiral' module (with iterative revisiting of content), covering data science, digital health and evidence-based medicine, implementing in September 2019 in all year groups with continuous evaluation and improvement until 2022. Results: In 2018/19, a new module, 'Doctor as Data Scientist', was co-designed by academic staff (n = 14), students (n = 23), and doctors (n = 7). The module involves 22 staff, 120 h (43 sessions: 22 lectures, 15 group and six other) over a 5-year curriculum. Since September 2019, 5,200 students have been taught with good attendance. Module student satisfaction ratings were 92%, 84%, 84% and 81% in 2019, 2020, 2021 and 2022 respectively, compared to the overall course (81%). Conclusions: We designed, implemented and evaluated a new undergraduate medical curriculum that combined data science and digital health with high student satisfaction ratings. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF