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Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training

Chen, Y; Banerjee, A; (2020) Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training. Future Healthcare Journal , 7 (3) pp. 189-192. 10.7861/fhj.2020-0162. Green open access

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Abstract

As well as its profound effects on healthcare and wider society, the COVID-19 pandemic will have far-reaching implications for the future training and professional development of healthcare workers and, in particular, doctors. While initial educational priorities focused on creating a more agile workforce with better cross-specialty skill-mix, attention must now shift to how our system can prepare a proportionate response that not only addresses the needs of the pandemic but also the underlying challenges of healthcare: multimorbidity, bridging the evidence–practice gap and delivering integrated, personalised medicine for all. It is our contention that meeting such challenges will require a rapid upskilling of the digital capabilities of the healthcare workforce. In short, optimising the health of the nation will depend, in part, on improving the digital health of the workforce. In this review, we examine how digital technology played its part in the COVID-19 response, and how fundamental changes to medical training are urgently needed in the context of a ‘healthcare reset’. Familiarity with health informatics, data science and digital technology have to move to centre stage in order to future-proof our profession in the years to come. The people that deliver care are our systems’ greatest asset, and at a time when change is accelerating, we cannot knowingly allow current and future colleagues to be ill-equipped to survive and thrive in the practice of medicine.

Type: Article
Title: Improving the digital health of the workforce in the COVID-19 context: an opportunity to future-proof medical training
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.7861/fhj.2020-0162
Publisher version: https://doi.org/10.7861/fhj.2020-0162
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Data science, digital, health informatics, training
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
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics
URI: https://discovery.ucl.ac.uk/id/eprint/10113700
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