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STRIATA: Artificial Intelligence Technology for the Health Supply Chain to Predict and Prepare

Origin language: English
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Target population
N/A
Beneficiaries1 - 50
EvidenceN/A
Start date2020/01
End dateN/A
StageRoutine project/operational
Country
Global
Coverage
International
Nb of implementation sites
50
Lead organization
Implementation partners
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Health Focus Area
Mental health
Others
Communicable diseases
Sexual and Reproductive Health
Vaccination / Immunization
Services
Health logistics
Predictive health and early diagnosis
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Funders
Summary
Supply chains play a crucial role in healthcare, directly affecting accessibility and patient outcomes. Macro-Eyes' STRIATA is an effective machine learning solution designed to optimize these supply chains by accurately forecasting demand across three key areas: People, Products, and Places. The system includes three modules: STRIATA Behavior, which predicts health-seeking behavior; STRIATA Forecast, which improves the accuracy of essential medicine consumption predictions to enhance availability and minimize waste; and STRIATA Visibility, which evaluates the operational status of health systems to pinpoint inefficiencies. By leveraging various data sources, including government datasets and satellite imagery, STRIATA creates a dynamic view of operations, ensuring that supplies align with real-time demand and facilitating strategic resource allocation in critical health focus areas such as vaccination, mental health, communicable diseases, and sexual and reproductive health.
Keywords
DHA
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iDHA (Project ID)
46nxg7
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Added to the platform on
2024-11-11
Project editors
Last update by
Mirana Michelle on 2024-11-11
Number of views
2
WHO classifications
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