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

Author

Listed:
  • Andrew Farlow
  • Alexander Hoffmann
  • Girmaw Abebe Tadesse
  • Deogratias Mzurikwao
  • Rob Beyer
  • Darlington Akogo
  • Eva Weicken
  • Tafadzwa Matika
  • MaryJane Ijeoma Nweje
  • Watu Wamae
  • Sako Arts
  • Thomas Wiegand
  • Colin Bennett
  • Maha R Farhat
  • Matthias I Gröschel

Abstract

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.

Suggested Citation

  • Andrew Farlow & Alexander Hoffmann & Girmaw Abebe Tadesse & Deogratias Mzurikwao & Rob Beyer & Darlington Akogo & Eva Weicken & Tafadzwa Matika & MaryJane Ijeoma Nweje & Watu Wamae & Sako Arts & Thoma, 2023. "Rethinking global digital health and AI-for-health innovation challenges," PLOS Global Public Health, Public Library of Science, vol. 3(4), pages 1-12, April.
  • Handle: RePEc:plo:pgph00:0001844
    DOI: 10.1371/journal.pgph.0001844
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    References listed on IDEAS

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    1. Scott Mayer McKinney & Marcin Sieniek & Varun Godbole & Jonathan Godwin & Natasha Antropova & Hutan Ashrafian & Trevor Back & Mary Chesus & Greg S. Corrado & Ara Darzi & Mozziyar Etemadi & Florencia G, 2020. "International evaluation of an AI system for breast cancer screening," Nature, Nature, vol. 577(7788), pages 89-94, January.
    2. Scott Mayer McKinney & Marcin Sieniek & Varun Godbole & Jonathan Godwin & Natasha Antropova & Hutan Ashrafian & Trevor Back & Mary Chesus & Greg S. Corrado & Ara Darzi & Mozziyar Etemadi & Florencia G, 2020. "Addendum: International evaluation of an AI system for breast cancer screening," Nature, Nature, vol. 586(7829), pages 19-19, October.
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