Leveraging AI for Strengthening Existing Healthcare Systems and Workflows
Artificial Intelligence to Connect Private Sector Malaria Diagnosis and Case Reporting in Kisumu County, Kenya
BACKGROUND
Infectious diseases remain Africa’s leading cause of mortality, though largely preventable and treatable. Malaria causes ~600,000 deaths annually, 95%-Africa. In Kenya, 70% of the population is at risk, with 6.7 million cases/year. Nearly 40% of patients first seek care in the private sector, yet this data is rarely captured in national systems, leaving critical blind spots. Malaria treatment is often dispensed without confirmatory testing, driving inappropriate care and drug resistance. This study explored an AI-powered App to support frontline private sector malaria testing, treatment, complement public sector efforts, and provide data for planning, resource allocation, and outbreak preparedness in Kisumu, Kenya.
Keywords: Leveraging AI for Strengthening Existing Healthcare Systems and Workflows
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