Leveraging Data for Healthcare Innovation in Africa

There's a "digital revolution" taking place across the globe, and in Africa, it's having a huge impact on the health of people there.

In a new report, the Bloom Public Health think tank looks at how artificial intelligence (AI) and machine learning (ML) can be used to make health care more effective in some of the continent's "most pressing public health problems," such as malaria, tuberculosis, and HIV.

"With the upsurge in the use of machine learning (ML) and artificial intelligence (AI), the digital revolution is disrupting every field and transforming entire systems of production and communication, and the healthcare sector is not left out," the report states.

"Africa, therefore, needs to enhance efforts to embrace data and analytics with AI and ML within its health systems to develop solutions to the continent's most pressing public health problems."

Among the report's recommendations: "Formulation and execution of national digital health strategies" that "provide clear direction to all stakeholders in the health system" "Establishment and maintenance of effective partnerships that leverage the expertise of diverse players in the health space to maximise the impact of health tech" "African governments need to lay out compelling national digital health strategies that provide clear direction to all stakeholders in the health

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Co-founders William Mann and David Mravyan devised the Sensimat during a mandatory project for their MBA at the Richard Ivey School of Business in Canada. Sensimat is a device that helps manage and assess pressure among wheelchair users.



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