AI-Powered: Surveillance,Analysis & Networked Diagnostics(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.
Results · 2,000 tests
Capabilities
Key Features
AI-Powered Result Interpretation
AI Powered algorithms analyze RDT kits and ascertain 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 with adding the required volumes of blood and/or buffer in the correct 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.