Machine Learning Could Improve Global Access To, Management Of Health

WIRED: Machine learning can fix how we manage health on a global scale
Peter Piot, director of the London School of Hygiene & Tropical Medicine

“Harnessing machine learning to improve health is a major ambition for both medical practitioners and the health care industry. If the two can join forces on a global scale in 2019, with the right investment and the right approach, [artificial intelligence (AI)] could propel a revolution to democratize global health and to leapfrog access to health services in low- and middle-income countries. … Low- and middle-income country partners must lead the way in shaping the technological innovations which could make the greatest difference to health among their own populations. … And crucially, rigorous evaluation and scrutiny must be applied to AI solutions to ensure the quality and safety standards are in place and that the shift in personalizing health care for all is an unquestioned force for good. With that in mind, public-private partnerships will be strengthened in 2019 to create a suite of robust, effective, and equitable digital solutions. These will harness the power of AI to democratize patient power and people’s ability to manage their own health, including in low- and middle-income countries” (1/4).

The KFF Daily Global Health Policy Report summarized news and information on global health policy from hundreds of sources, from May 2009 through December 2020. All summaries are archived and available via search.

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