AI-connected medical devices
60M+ remote monitoring users in the US. AI-powered IoT reduces readmissions by 20-30% and improves medication adherence by 30% through continuous, intelligent monitoring.
Performance benchmarks
Where does your medical device data strategy sit? Compare across four critical metrics.
Sources: Industry benchmarks 2024. Remote patient monitoring growing from 42.2M (2024) to 67.5M (2028) globally. Heart failure patients using smart monitoring show reduced readmissions.
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.
Leading medical device companies are building AI-connected ecosystems at scale.
- ✓ Integrated remote monitoring for chronic disease
- ✓ Devices linked to clinical workflows
- ✓ End-to-end data integration platform
- ✓ Portfolio of connected monitors, sensors, ventilators
- ✓ Cloud analytics for aggregated device data
- ✓ 72 FDA-cleared AI applications
- ✓ Implantable devices with remote monitoring
- ✓ CareAlert for early deterioration warning
- ✓ Pacemakers/defibrillators with continuous data
- ✓ Wearable integration with health systems
- ✓ Apple Watch ECG: FDA-cleared for clinical use
- ✓ Consumer-grade devices feeding clinical data
The transformation opportunity
What changes when a mid-market provider deploys AI-connected medical IoT.
- ✗ Monitoring: in-clinic only (quarterly visits)
- ✗ Remote data: none or manual patient reporting
- ✗ Alerts: reactive (patient calls with symptoms)
- ✗ Device integration: isolated, no EHR connection
- ✗ Data analysis: manual clinical review
- ✗ Medication adherence: unknown until complications
- ✓ Monitoring: continuous real-time data streams
- ✓ Remote data: automated sensor transmission
- ✓ Alerts: proactive AI-detected anomalies
- ✓ Device integration: seamless EHR auto-populated
- ✓ Data analysis: automated AI with clinician flags
- ✓ Adherence: real-time tracking + automated reminders
We build it, run it with your team — and you pay per device event processed.
No upfront CAPEX — we invest the build ourselves. Once it’s live, you pay a small toll per device reading or service event 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 device events 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 device ecosystem, identifies interoperability gaps, and benchmarks your remote monitoring capabilities against connected care leaders.
Sensor data analytics, anomaly detection, predictive early warning, FHIR-based device integration, clinical alert prioritization, and medication adherence tracking — built in weeks.
20-30% readmission reduction in 6 months. 40-50% adherence improvement in 3 months. 30-40% fewer ED visits in 6 months. 50-70% faster clinical data review in 2 months.
See XI run a diagnostic on your medical device ecosystem
Book a discovery call to see how your IoT and remote monitoring benchmarks against connected care leaders — and what Xamun can build for you in weeks. No upfront cost — you pay only when the system runs.