Advancing Cardiovascular Health Equity Globally Through Digital Technologies.

cardiovascular disease disparities health equity machine learning and artificial intelligence translational studies

Journal

Journal of the American Heart Association
ISSN: 2047-9980
Titre abrégé: J Am Heart Assoc
Pays: England
ID NLM: 101580524

Informations de publication

Date de publication:
16 Jan 2024
Historique:
medline: 16 1 2024
pubmed: 16 1 2024
entrez: 16 1 2024
Statut: ppublish

Résumé

Cardiovascular diseases (CVDs) remain the leading cause of death and disability worldwide. Digital health technologies are important public health interventions for addressing the burden of cardiovascular disease. In this article, we discuss the importance of translating digital innovations in research-funded projects to low-resource settings globally to advance global cardiovascular health equity. We also discuss current global cardiovascular health inequities and the digital health divide within and between countries. We present various considerations for translating digital innovations across different settings across the globe, including

Identifiants

pubmed: 38226506
doi: 10.1161/JAHA.123.031237
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

e031237

Auteurs

Oluwabunmi Ogungbe (O)

Johns Hopkins School of Nursing Baltimore MD USA.

Chris T Longenecker (CT)

Division of Cardiology and Department of Global Health University of Washington Seattle WA USA.

Andrea Beaton (A)

Heart Institute, Cincinnati Children's Hospital Medical Center Cincinnati OH USA.

Sarah de Loizaga (S)

Heart Institute, Cincinnati Children's Hospital Medical Center Cincinnati OH USA.
University of Cincinnati College of Medicine Cincinnati OH USA.

Luisa Campos Caldeira Brant (LCC)

Faculty of Medicine and Telehealth Center, Hospital das Clínicas Universidade Federal de Minas Gerais Belo Horizonte Brazil.

Ruth-Alma N Turkson Ocran (RN)

Beth Israel Deaconess Medical Center, Division of General Medicine Boston MA USA.
Havard Medical School Boston MA USA.

Pouya Bastani (P)

Department of Neurology Johns Hopkins University School of Medicine Baltimore MD USA.

Fred Stephen Sarfo (FS)

Division of Neurology, Department of Medicine Kwame Nkrumah University of Science and Technology Kumasi Ghana.

Yvonne Commodore-Mensah (Y)

Johns Hopkins School of Nursing Baltimore MD USA.
Department of Epidemiology Bloomberg School of Public Health Baltimore MD USA.

Classifications MeSH