We built an AI-driven remote monitoring system that helps hospitals and care teams track patients after discharge using wearable data and predictive alerts. As a result, patients stay engaged, risks are identified early, and readmissions are reduced.
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A remote patient monitoring platform that connects wearables and AI to predict complications and boost post-discharge adherence.
Patients often fail to follow post-discharge care plans, miss medications, or overlook early warning signs—leading to complications and hospital readmissions. We created VitalAI, a system that uses real-time wearable data and machine learning to track patient vitals, detect anomalies, and alert both patients and doctors proactively.
A remote patient monitoring platform that connects wearables and AI to predict complications and boost post-discharge adherence.
Patients often fail to follow post-discharge care plans, miss medications, or overlook early warning signs—leading to complications and hospital readmissions. We created VitalAI, a system that uses real-time wearable data and machine learning to track patient vitals, detect anomalies, and alert both patients and doctors proactively.
Post-discharge monitoring is fragmented: patients use multiple devices (or none at all), and hospitals struggle to maintain oversight. Our challenge was to unify health data from different sources, analyze it in real time, and create actionable alerts while maintaining regulatory-grade data security and intuitive UX. The system also needed to integrate with hospital infrastructures via standards like FHIR API.
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VitalAI is designed for hospitals, clinics, and care platforms seeking to extend care beyond the hospital stay. It connects with smartwatches, glucometers, and blood pressure monitors to continuously monitor health indicators. AI models analyze the data and issue personalized alerts or notify care providers when critical changes occur.
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