Rethinking global digital health and AI-for-health innovation challenges

Bibliographic Data

ID19592273
AuthorsAndrew Farlow (University of Oxford, corresponding author), Alexander Hoffmann (0000-0002-8360-6862, Harvard University), Girmaw Abebe Tadesse (0000-0002-2648-9102), Deogratias Mzurikwao (0000-0003-3405-4771), Rob Beyer, Darlington Akogo (0000-0001-5652-1815, Ghana Health Service), Eva Weicken (Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Tafadzwa Matika (Clinton Health Access Initiative), MaryJane Ijeoma Nweje (0000-0001-7768-1957, International Telecommunication Union), Watu Wamae (University of Oxford), Sako Arts, Thomas Wiegand (0000-0002-1121-2581, Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute), Colin J Bennett (0000-0002-1503-8584, University of Oxford), Colin Bennett, Maha R Farhat, Maha Farhat (0000-0002-3871-5760, Harvard University), Matthias I Gröschel (0000-0002-2509-3034, Harvard University, corresponding author)
EditorsSarang Deo (0000-0002-3233-6014)
Year2023
Volume3
Issue4
Pagese0001844
Publication date2023-04-28
Open AccessYes
TypeARTICLE
VenuePLOS Global Public Health (JOURNAL)
Journal identifiersISSN: 2767-3375 • E-ISSN: 2767-3375
PublisherPublic Library of Science (PLoS) (PUBLISHER)
DOI10.1371/journal.pgph.0001844
PMID37115743
OpenAlexW4367310912
LanguageEN
Citations received2
References cited21

Digital health technologies can help tackle challenges in global public health. Digital and AI-for-Health Challenges, controlled events whose goal is to generate solutions to a given problem in a defined period of time, are one way of catalysing innovation. This article proposes an expanded investment framework for Global Health AI and digitalhealth Innovation that goes beyond traditional factors such as return on investment. Instead, we propose non monetary and non GDP metrics, such as Disability Adjusted Life Years or achievement of universal health coverage. Furthermore, we suggest a venture building approach around global health, which includes filtering of participants to reduce opportunity cost, close integration of implementation scientists and an incubator for the long-term development of ideas resulting from the challenge. Finally, we emphasize the need to strengthen human capital across a range of areas in local innovation, implementation-science, and in health services

Business · Digital health · Economic growth · Economics · Global health · Health care · Human capital · Incubator · Political science · Public health · Artificial Intelligence in Healthcare and Education · Biomedical and Engineering Education · Computer Science · Global Health and Surgery · Medicine · Marketing

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