Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining

Nophar Geifman; Jo Armes; Anthony D Whetton

doi:10.3389/fdgth.2023.1092008

Identifying developments over a decade in the digital health and telemedicine landscape in the UK using quantitative text mining

Front Digit Health. 2023 Apr 17:5:1092008. doi: 10.3389/fdgth.2023.1092008. eCollection 2023.

Authors

Nophar Geifman¹, Jo Armes¹, Anthony D Whetton^{2

3}

Affiliations

¹ School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
² School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.
³ Veterinary Health Innovation Engine, School of Veterinary Medicine, University of Surrey, Guildford, United Kingdom.

Abstract

The use of technologies that provide objective, digital data to clinicians, carers, and service users to improve care and outcomes comes under the unifying term Digital Health. This field, which includes the use of high-tech health devices, telemedicine and health analytics has, in recent years, seen significant growth in the United Kingdom and worldwide. It is clearly acknowledged by multiple stakeholders that digital health innovations are necessary for the future of improved and more economic healthcare service delivery. Here we consider digital health-related research and applications by using an informatics tool to objectively survey the field. We have used a quantitative text-mining technique, applied to published works in the field of digital health, to capture and analyse key approaches taken and the diseases areas where these have been applied. Key areas of research and application are shown to be cardiovascular, stroke, and hypertension; although the range seen is wide. We consider advances in digital health and telemedicine in light of the COVID-19 pandemic.

Keywords: United Kingdom; digital health; telemedicine; text mining; trends.

Grants and funding

JA receives funding from the National Institute for Health Research (NIHR) Applied Research Collaboration Kent, Surrey, Sussex (grant number NIHR200179). The views expressed are those of the author and not necessarily those of the NIHR or the University of Surrey.