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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

Al-Shakarchi, Nader; Upadhyay, Jaya; Beckley, Ivan; Gishen, Faye; Iorio, Anna Di; Stephens, Robert; Clegg, Sarah; ... Banerjee, Amitava; + view all (2024) 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. Clinical Medicine , 24 (3) , Article 100207. 10.1016/j.clinme.2024.100207. Green open access

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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.

Type: Article
Title: 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
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.clinme.2024.100207
Publisher version: https://doi.org/10.1016/j.clinme.2024.100207
Language: English
Additional information: © 2024 The Author(s). Published by Elsevier Ltd on behalf of Royal College of Physicians. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10192190
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