Lesedi AI: Powering Smarter Healthcare Decisions
Lesedi AI is an advanced machine learning platform designed to support healthcare workers, program managers, and policymakers in delivering data-driven, patient-centered care. It integrates with electronic medical records (EMR) systems to provide predictive analytics, patient risk scoring, and AI-driven recommendations for healthcare interventions.
- Deployed across 30+ healthcare sites, benefiting 50,000+ patients.
- Achieved a 3.8% reduction in treatment interruptions (IIT) in Nigeria.
- Improved differentiated service delivery (DSD) models for HIV treatment programs.
Transforming Healthcare with AI-Driven Insights
Lesedi AI follows a five-step process to deliver personalized, data-driven healthcare:
1
Leverage Existing Data
Lesedi AI integrates with health information systems (EMRs, HMIS platforms) to collect patient and facility-level data.
2
Segment Populations
The AI model analyzes patient demographics, medical history, and clinical data to identify high-risk groups.
3
Generate Optimized Insights
Machine learning algorithms assess patterns and provide actionable insights for personalized care plans.
4
Deliver Localized Recommendations
Healthcare workers receive AI-powered suggestions for targeted interventions, such as adherence counseling, viral load monitoring, and differentiated service delivery.
5
Track and Improve Outcomes
Lesedi AI continuously refines risk predictions, learning from patient outcomes to improve future recommendations.
Core Functionalities of Lesedi AI
Predictive Analytics & Risk Scoring
- AI models analyze patient data to predict treatment interruptions, non-adherence, and disease progression.
- Lesedi AI flags high-risk patients, allowing case managers to intervene early.
Patient Profiling & Microsegmentation
- Uses machine learning clustering techniques to segment patients based on adherence behavior, treatment history, and demographic patterns.
- Helps healthcare workers personalize treatment plans for different risk groups.
AI-Driven Public Health Interventions
- Provides real-time AI-generated insights to support public health programs in HIV care, maternal health, and disease surveillance.
- Assists in targeting interventions for underserved communities.
Lesedi AI in Action: Real-World Success Stories
Nigeria: Reducing HIV Treatment Interruptions
- 4x reduction in IIT rates compared to control sites.
- 76% increase in time spent on high-risk patients by case managers.
South Africa: AI-Driven Differentiated Service Delivery
- Improved efficiency of multi-month dispensing (MMD) strategies.
- Better patient retention through predictive risk assessment.
Tajikistan: AI-Powered Maternal Health Risk Prediction
- AI models successfully predicted preeclampsia risk, improving early intervention.
- Climate-related factors were linked to maternal health outcomes, shaping targeted interventions.
Full Study Reports Available in Research & Publications Section
Global Partners Using AI for Healthcare Transformation
Our MG Policy Brief showcases how AI-powered insights reduced treatment interruptions (IIT) by 3.8% across 30 intervention sites in Nigeria. By prioritizing high-risk patients, healthcare workers achieved a 4x larger decline in IIT rates compared to control facilities.
Healthcare Providers
AI-driven insights for clinicians, case managers, and program officers.
Governments & Ministries of Health
AI-powered decision-making for health policy and resource allocation.
Global Health Organizations & NGOs
Supporting large-scale implementation of AI for public health.
Key Partners:
Lesedi AI is currently deployed in 30+ facilities, supporting thousands of healthcare workers and patients.
USAID & Jhpiego
Implementing AI-driven HIV treatment strategies.
McGovern Foundation
Supporting AI-powered case management.
Aurum Institute
Optimizing treatment retention strategies in South Africa.
Abt Associates
AI-powered maternal health interventions in Tajikistan.
