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Free accessOther version: http://jphe.amegroups.com/article/view/5679
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Scientific Article - Review
unige:135072 
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Precision global health: a roadmap for augmented action |
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| Published in | Journal of Public Health and Emergency. 2020, vol. 4, no. 5, p. 1-12 | |
| Abstract | With increased complexity in various global health challenges comes a need for increased precision and the adoption of more tailored health interventions. Building on precision public health, we propose precision global health (PGH), an approach that leverages life sciences, social sciences, and data sciences, augmented with artificial intelligence (AI), in order to identify transnational problems and deliver targeted and impactful interventions through integrated and participatory approaches. With more than four billion Internet users across the globe and the accelerating power of AI, PGH taps on our current augmented capacity to collect, integrate, analyse and visualise large volumes of data, both non-specific and specific to health. With the support of governments and donors, and together with international and non-governmental organisations, universities and research institutions can generate innovative solutions to improve health and wellbeing of the most vulnerable populations around the world. In line with the Sustainable Development Goals, we propose here a road map for the development and implementation of PGH. | |
| Keywords | Digital health — Big data — Artificial intelligence (AI) — Public health — Machine learning — One health | |
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| Full text |
Article (Published version) (273 Kb) - Free access Other version: http://jphe.amegroups.com/article/view/5679 |
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| Structures |
Faculté de médecine / Section de médecine clinique / Département de radiologie et informatique médicale Faculté de médecine / Section de médecine clinique / Département de santé et médecine communautaires / Institut de santé globale |
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| Research groups | Education thérapeutique du patient, diabète et obésité (600) GeoHealth: approches géospatiales et environnementales en santé globale (1000) Groupe Flahault Antoine (945) Groupe Geissbuhler Antoine (informatique médicale) (222) ISE Biodiversité ISE Pôle Informatique environnementale | |
| Citation (ISO format) | SHEATH, Danny et al. Precision global health: a roadmap for augmented action. In: Journal of Public Health and Emergency, 2020, vol. 4, n° 5, p. 1-12. doi: 10.21037/jphe.2020.01.01 https://archive-ouverte.unige.ch/unige:135072 |
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