Macro-Eyes worked with Ministry leaders at the Directorate of Science, Technology and Innovation (DSTI) and the Ministry of Health and Sanitation (MOHS) to develop Striata, a product running core Macro-Eyes artificial intelligence (AI), to continuously assess the national health system and generate health facility readiness scores for COVID-19 response.
Ishango is helping to track each mOPV2 vial during outbreak driven mass-vaccination campaigns. Today, manual counting of large numbers of vials is a time-con- suming and error-prone task that’s repeated from the frontline to in- cineration. Errors are common, but no one knows when and where they occur. Ishango simplifies an unnecessarily arduous task, and provides ready access to real-time utilization data for campaign planning and verification.
In 2018, macro-eyes built a machine learning system that predicts vaccine utilization at the facility, district, and regional level. The Macro-Eyes system cuts the number of errors (under-and over-supply) of the legacy supply chain by 96%. The predictive supply chain for vaccines can be reliably scaled across LMICs utilizing publicly available data with a nominal loss in precision (5%) relative to the EIR- reliant model.
For doctors and nurses and health workers of all kinds, care is about the individual; administrators and government departments concerned with cost advocate for systems that are simpler to manage - with less variation across populations (and limited personalization). The radical potential of AI is that health systems no longer need to choose between personalization and scale.