Our cross-functional development team designed and delivered a mobile application that connects wirelessly to the patient’s home oxygen concentrator and supports intelligent remote monitoring. The solution focused on clarity, ease of use, and actionable insights.
- Real-time therapy monitoring: The app displays oxygen flow rates, oxygen purity, pulse rate, breathing rate, and total usage hours through a clear and easy-to-read interface, allowing patients to track therapy status at any time.
- AI-powered device intelligence: AI models analyze historical usage data, oxygen purity trends, and battery performance to identify potential device issues in advance. This enables early intervention and helps prevent therapy interruptions.
- Early risk detection: Continuous analysis of oxygen levels, pulse rate, and breathing patterns allows early identification of potential respiratory distress. Timely alerts are sent to patients, caregivers, or clinicians to support faster response.
- Battery and condition alerts: Patients receive immediate notifications for low battery levels, power issues, or performance anomalies, helping them take corrective action before disruptions occur.
- Bluetooth connectivity: The application pairs with the oxygen concentrator using Bluetooth Low Energy (BLE) and integrates with compatible health devices and wearables, enabling efficient data exchange with minimal power consumption.
- Clinical decision support: Aggregated and anonymized data is converted into trend summaries and risk indicators for clinicians, making remote monitoring more actionable and reducing manual data review.