AI-DNO

Diagnostic Network Optimization

Design accessible, efficient diagnostic networks — ingest your data, review the baseline, and optimize scenarios on an interactive map.

Capabilities

From network data to optimised decisions

AI-DNO guides diagnostic network planning through a clear path: ingest, baseline, optimize, and compare.

01

Ingest your network

Bring facility, laboratory, device, demand, and referral data into one project. Review ingestion status and unlock the baseline once your network is approved.

AI-DNO data ingestion — bulk Excel import and CSV upload options

02

Understand the baseline

Explore utilization, accessibility, cost, and capacity across admin areas. Generate narrative baseline reports and surface network challenges before you optimize.

AI-DNO baseline network report — metrics, coverage, and network health

03

Optimize with scenarios

Create what-if scenarios, set goals, and run optimization. Compare relocation, expansion, and redesign actions against the baseline on an interactive map.

AI-DNO scenario builder with network map — create and optimize scenarios

Collaboration

Built for diagnostic network impact

AI-DNO brings engineering and diagnostic strategy together to help programmes design networks that are accessible, efficient, and equitable.

Froncort

Froncort

Platform & AI Engineering

Builds the AI-DNO application — data pipelines, optimization workflows, map intelligence, and the decision-support experience for diagnostic network teams.

FIND

FIND

Diagnostic Strategy & Operations

Provides domain expertise on diagnostic networks and testing operations, ensuring optimisation insights align with real-world laboratory capacity and access goals.

FAQ

Questions about AI-DNO

Essentials on what the platform does, how baselines and scenarios work, and how to share results with your team.

AI-DNO is a Diagnostic Network Optimization platform. It helps public health teams design more accessible, efficient, cost-effective, and equitable diagnostic networks — from data ingestion through baseline review, scenario planning, and map-based comparison.