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

United Kingdom digital health telemedicine text mining trends

Journal

Frontiers in digital health
ISSN: 2673-253X
Titre abrégé: Front Digit Health
Pays: Switzerland
ID NLM: 101771889

Informations de publication

Date de publication:
2023
Historique:
received: 07 11 2022
accepted: 24 03 2023
medline: 4 5 2023
pubmed: 4 5 2023
entrez: 4 5 2023
Statut: epublish

Résumé

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.

Identifiants

pubmed: 37139488
doi: 10.3389/fdgth.2023.1092008
pmc: PMC10149860
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1092008

Informations de copyright

© 2023 Geifman, Armes and Whetton.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Nophar Geifman (N)

School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.

Jo Armes (J)

School of Health Sciences, Faculty of Health and Medical Sciences, University of Surrey, Guildford, United Kingdom.

Anthony D Whetton (AD)

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

Classifications MeSH