Mobile Health App Enables Better Home Oxygen Monitoring
Transforming remote patient care with real-time AI-powered device telemetry
The Challenge
A healthcare technology company needed to empower patients using home oxygen concentrators with real-time visibility into their therapy. Clinicians had no way to remotely monitor device performance or patient compliance, leading to delayed interventions and frequent hospital readmissions.
Our Solution
iCaptur.AI built an intelligent mobile app backed by our AI Experience Platform that connects to oxygen therapy devices via BLE/IoT. The system ingests telemetry data, applies anomaly detection models, and surfaces actionable alerts to both patients and care teams through an intuitive dashboard.
Our Approach
Discovery
Mapped clinical workflows, device protocols, and regulatory requirements (HIPAA, FDA Class II)
Data Pipeline
Built real-time ingestion layer for oxygen flow rates, usage hours, SpO2 correlation, and device error codes
AI Models
Trained anomaly detection and predictive compliance models on 18 months of anonymized device data
Mobile App
Designed a patient-facing iOS/Android app with caregiver sharing, trend graphs, and smart notifications
Integration
Connected to EHR systems via HL7 FHIR for seamless clinician visibility
The iCaptur team delivered a solution that genuinely transformed our patients' experience. We went from zero remote visibility to real-time intelligence in just 14 weeks.
Key Results
Measurable outcomes delivered
73% reduction in oxygen-therapy-related ER visits within 6 months
Patient therapy compliance improved from 61% to 94%
Caregivers report 4.8x more confidence managing home oxygen
Clinicians save an average of 3.2 hours per patient per month
Successfully processed over 2.1 million telemetry data points per day
