O026 The surgical datathon - a high-yield learning model for students: a mixed methods analysis
Introduction Datathons are high-yield research events where cross-disciplinary researchers collaborate to investigate pertinent healthcare problems by analysing multimodal electronic patient data. This paper aims to demonstrate the value of a surgical datathon as a learning model in students using b...
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| Published in: | British journal of surgery Vol. 110 |
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| Main Authors: | , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Oxford
Oxford University Press
01.05.2023
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| Subjects: | |
| ISSN: | 0007-1323, 1365-2168 |
| Online Access: | Get full text |
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| Summary: | Introduction Datathons are high-yield research events where cross-disciplinary researchers collaborate to investigate pertinent healthcare problems by analysing multimodal electronic patient data. This paper aims to demonstrate the value of a surgical datathon as a learning model in students using both objective and qualitative assessments. Methods Fifteen individuals were recruited for the 24-hour datathon with representation from medicine, psychology, and clinical neurosciences including two postgraduate neurosurgery faculty. All reported interest in learning more academic skills. The aim was to solve a pertinent neurosurgical challenge, namely the prediction of intracranial pressure based on brain MR-imaging, with the goal of completing a full manuscript within 24 hours. Participants were trained and split into smaller open working groups, supervised allowing real-time specialist feedback. Groups intermittently merged to cross-collaborate. Surveys with mixed-methods analysis explored participant opinions and the value of developing research skills at multiple time points. Results Participants’ knowledge were tested showing an increased mean test score post-datathon (69.92%) compared to pre-datathon scores (57.31%). Wilcoxon signed-rank test results demonstrated a significant change for these results (p=0.04, 95% CI -27.21 - -0.04). Likert-scales showed that majority of participants strongly agreed that the datathon accelerated their productivity (58.3%). Data collection was rated particularly useful (100%) despite majority being less than confident in analysing neuro-radiological images (84.6%) pre-datathon. Time pressures were the largest barrier participants faced (47.1%). Conclusion A full manuscript was produced and the datathon goal was met with conference acceptance. Surgical datathons represent a pragmatic learning model for students of all backgrounds. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0007-1323 1365-2168 |
| DOI: | 10.1093/bjs/znad101.026 |