AI-Powered Diagnostic Surveillance for Public Health
SAND (Surveillance, Analysis and Network Diagnostics) uses Artificial Intelligence and Computer Vision to digitize Rapid Diagnostic Test (RDT) interpretation, improve result accuracy, and provide real-time infection surveillance across healthcare networks.
The Platform
SAND?
SAND is an AI-powered diagnostic ecosystem designed to support healthcare providers, and public health programs. Using a mobile application, healthcare workers can scan Rapid Diagnostic Tests (RDTs) for infections such as:
Artificial Intelligence automatically analyzes the test image, detects control and test lines, determines the result with confidence scoring, and securely stores the information within a centralized surveillance platform.
- Hepatitis A
- Hepatitis B
- Hepatitis C
- HIV
- Malaria
Capabilities
Key Features
AI-Powered Result Interpretation
AI Powered algorithms analyze RDT kits and ascertain positive, negative, or invalid results.
AI Powered Confidence
Every result read with AI powered confidence to assist quality assurance.
Real-Time Data Capture
AI tested results are updated to relevant centralized databases and are easily accessible.
Infection Surveillance
Monitor infection trends, hotspots, and testing activities through interactive dashboards.
Mobile & Web Access
Health personnel use the mobile application while administrators access analytics through the web portal.
Secure Data Management
Role-based access controls and centralized data governance.
The Challenge
Why SAND Matters
Human RDT reading faces several potential problems that compromise accuracy of results:
- Non-compliance to adding of blood and/or buffer required volumes and at the right positions
- Delayed or early reading of results
- Poor light conditions
- Short-sightedness/weak eyesight
- Not doing the test at all and fake reporting
- Non-capture/inaccurate entry of test data
The SAND Approach
SAND combines AI, mobile technology, and surveillance analytics into a single integrated platform and as a result SAND:
- Minimizes human error
- Enhances accuracy of RDT test result reading and interpretation
- Captures test result data in real-time
- Creates system efficiencies and reduces cost
- Captures RDT images that allow QA against non-compliance of testing protocol by personnel.
Transform Diagnostics & Surveillance
Discover how AI can improve infection diagnosis, enhance accuracy, create system efficiencies and build seamless data systems.