AI-powered public health
Detect outbreaks 1-2 weeks early. Reduce disease surveillance lag by 50-70% and optimize resource allocation by 40-50% with AI-enabled public health infrastructure.
Performance benchmarks
Where does your public health infrastructure sit? Compare across four critical metrics.
Sources: Industry data 2024. 24% funding increase in 2024. UK NHS: 30+ validated AI clinical tools, 95%+ diagnostic accuracy for ICH and PE. Asia-Pacific highest CAGR at 27.67%.
What global leaders are doing
Industry examples from publicly reported initiatives — not Xamun projects. Included to illustrate what AI transformation looks like in this sector.
Nations and organizations are building AI-enabled public health infrastructure at scale.
- ✓ Geographic data for dengue/COVID forecasting
- ✓ Mobile-first deployment (70%+ penetration)
- ✓ Real-time surveillance + telemedicine
- ✓ Field-level data collection via mobile
- ✓ 95%+ accuracy for ICH and PE detection
- ✓ Ambient AI scribing for clinical notes
- ✓ AI teledermatology triage + expert support
- ✓ Expanding to ophthalmology, cardiology, mental health
- ✓ Partnerships to build AI public health systems
- ✓ Interoperable EMR becoming standard
- ✓ Digital infrastructure enabling AI deployment
- ✓ Addressing regulatory framework gaps
The transformation opportunity
What changes when a public health authority deploys AI-enabled surveillance and response.
- ✗ Surveillance: manual reporting, 2-4 week lag
- ✗ Outbreak detection: reactive (already underway)
- ✗ Epidemiological data: fragmented, no real-time
- ✗ Case investigation: paper-based, slow tracing
- ✗ Resource allocation: ad-hoc, not data-driven
- ✗ Population screening: limited, reactive only
- ✓ Surveillance: real-time data from all facilities
- ✓ Outbreak detection: predictive, 1-2 weeks early
- ✓ Epi data: unified platform, real-time dashboards
- ✓ Case investigation: automated prioritization, mobile
- ✓ Resource allocation: AI-optimized, predictive
- ✓ Population screening: proactive high-risk targeting
We build it, run it with your team — and you pay per case processed.
No upfront CAPEX — we invest the build ourselves. Once it’s live, you pay a small toll per case registered and processed the system processes: a small fraction of the value each one creates. A slow month means a small invoice; if it doesn’t run, you don’t pay.
We’re not a vendor shipping software into your operation. For the operation we run, we’re part of your company — in your numbers every week, paid only as they move. Where processed cases aren’t the honest measure, we price it as a fixed project instead; the accountability doesn’t change, only how you pay.
How Xamun delivers this
From diagnostic to deployed system in weeks — not months.
Xamun Intelligence maps your disease surveillance infrastructure, identifies data gaps, and benchmarks your response capabilities against AI-enabled public health leaders.
Real-time surveillance, outbreak prediction, spatial epidemiology, case investigation automation, population health analytics, resource optimization, and mobile health tools — built in weeks.
50-70% surveillance lag reduction in 3 months. 30-40% faster outbreak detection in 6 months. 20-30% better contact tracing in 6 months. 25-35% vaccination campaign efficiency in 9 months.
See XI run a diagnostic on your public health systems
Book a discovery call to see how your public health infrastructure benchmarks against AI-enabled leaders — and what Xamun can build for you in weeks. No upfront cost — you pay only when the system runs.