Normalized claim
Time: 85%
Oxygen levels maintained in the optimal range 85% of the time (vs. 47% manual).
Last evidence check: Jun 1, 2026
O2matic enables remote home oxygen care and patient monitoring
Use case typeRemote patient monitoringUpdated Jun 13, 2026
O2matic, a Danish medtech company, launched an AI-powered home oxygen therapy solution for patients with chronic obstructive pulmonary disorder (COPD). Built on Microsoft Azure, the system utilizes Azure IoT Hub and Microsoft Intune for device management and secure real-time data transfer. The AI algorithms automatically adjust oxygen flow based on continuous patient monitoring, keeping patient oxygen saturation at safe levels and reducing the need for hospital visits. Healthcare staff can monitor patients remotely, reducing exposure risks, particularly during the COVID-19 pandemic. Trials at Hvidovre Hospital showed that O2matic's system kept oxygen levels in the desired range 85% of the time compared to just 47% with manual treatment, leading to improved quality of life and greater patient independence.
- Organization
- O2matic
- Industry
- Healthcare
- Location
- Denmark
- Published
- February 2021
Reported outcomes
85%
timeTime & speed
47%time
Strategic outcomes
New product / capabilityLaunched AI-powered home oxygen therapyNew product / capabilityEnabled secure remote patient monitoringCustomer experience & trustReduced hospital visits and exposure riskCustomer experience & trustImproved patient independence and quality of life
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Time: 47%
Oxygen levels maintained in the optimal range 85% of the time (vs. 47% manual).
Last evidence check: Jun 1, 2026
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- O2matic
- Provider
- Microsoft
- Maturity
- Unknown
- Linked source
- news.microsoft.com
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1remote patient monitoring
- 2AI-driven homecare
- 3oxygen therapy optimization
- COPD patients require frequent monitoring and manual oxygen adjustments.
- Risk of incorrect oxygen supply causing health complications.
- COVID-19 increased the risks of hospital visits for vulnerable patients.
- Patients' quality of life was limited by frequent hospital-based management.
- Developed an AI-powered oxygen therapy device using Microsoft Azure cloud platform.
- Integrated Azure IoT Hub and Microsoft Intune for secure remote monitoring and management.
- Created real-time adjustment algorithms for patient oxygen supply.
- Enabled continuous remote patient data collection and hospital integration.
Technologies
- Oxygen levels maintained in the optimal range 85% of the time (vs. 47% manual).
- Reduced hospital visits and exposure risks during pandemics.
- Enabled greater patient activity and independence.
- Improved quality of life for patients and caregivers.
Architecture
Patient oxygen saturation is continuously measured and sent via Azure IoT Hub to the cloud, where AI algorithms dynamically adjust oxygen flow. Microsoft Intune enables device management, security, and patient data sharing with hospital systems, allowing clinicians to monitor and intervene remotely.
Sources & evidence1
Evidence: Medium60/100Evidence strength
- Customer explicitly identified
- Independent source available
- Quantified outcome available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
Live sourceStill referenced
The case's original source is still reachable.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
Type: News ArticlePublished: Feb 25, 2021Publisher: news.microsoft.comEvidence: SecondaryConfidence: Low
AI-generated summary. Verify important details with the linked sources before relying on this case.
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