Barts X as a Model for Teaching Digital Health
| Autor: | Armita Azar, Brian Wang, Alexander John Deighton |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Medical education
Medical curriculum 020205 medical informatics Computer science education Medicine (miscellaneous) Wearable computer 02 engineering and technology Patient data Safeguarding Appropriate use Digital health Education 03 medical and health sciences 0302 clinical medicine Healthcare delivery Commentary 0202 electrical engineering electronic engineering information engineering 030212 general & internal medicine Curriculum |
| Zdroj: | Med Sci Educ |
| ISSN: | 2156-8650 |
| DOI: | 10.1007/s40670-021-01299-7 |
| Popis: | Due to recent technological innovations, digital health is quickly transforming the means of healthcare delivery. Technologies such as artificial intelligence, wearables and virtual consultations are increasingly being integrated into routine clinical care and with careful consideration; these promise to bring improvements to both professional workloads and patient outcomes. We highlight the need for dedicated digital health education in order to ensure appropriate use of patient data, patient safeguarding and the means by which we might incorporate this in a post-covid COVID curriculum. We comment on what can be learnt by Barts X Medicine, the first digital health programme in England to be integrated into the medical curriculum, to improve medical teaching. |
| Databáze: | OpenAIRE |
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