1. Device captures vitals
Wearables, rings, bedside hubs collect heart rate, SpO₂, activity and sleep.
A Digital Health Ecosystem. Your Personalized HealthSystem
Vitalcare is a healthcare management platform for patients, doctors, and hospitals that can be used to schedule and check out appointments and other tasks, as well as view patient files and records, among other things.
Was to create a single multifunctional tool that could help hospitals and health professionals manage patients, appointments, schedules, and other tasks all in one workspace.
Quick question — how many of you only visit a doctor after Google has already scared you with 27 possible diseases?
That’s the problem. Healthcare today is reactive. We wait until things break. Diseases like diabetes or heart issues don’t send a warning email — they sneak in quietly. In fact, WHO says they caused 43 million deaths in 2021 alone.
Remote health monitoring is a multi-billion dollar market and adoption accelerated after COVID.
We can now build per-person baselines to reduce false alarms and detect meaningful multimodal signals.
Voice hubs and simple clinician workflows make the system useful for non-tech users and busy providers.
Simple, reliable flow from device → cloud → clinician → patient. We keep clinicians in the loop while automating baseline detection and alerts.
Wearables, rings, bedside hubs collect heart rate, SpO₂, activity and sleep.
Edge smoothing and secure ingestion (MQTT/HTTPS) into the cloud.
Store raw signals and derived features in a time-series DB for robust analysis.
Rolling averages + z-scores compare each patient to their own baseline to reduce false alarms.
AI proposes risk cards; clinicians review and patients receive voice or push updates.
Devices VitalCare integrates with — simple preview of supported devices.
Wrist wearable — HR, SpO₂, steps, sleep
Ring device — HR, HRV, sleep stages
Neck wearable — ECG, respiratory tracking
Bedside hub — vitals sync, voice integration
Taken from the project notes (shortened): Devices simulated with Python; secure ingestion via MQTT/HTTPS; backend built with FastAPI; time-series storage using InfluxDB and SQLite backup; AI using rolling averages + z-scores and scikit-learn; dashboard prototypes with Streamlit; voice via Web Speech API; security: HTTPS + JWT.
We’d love to hear from you! Whether you’re a hospital, clinic, or researcher — let us know how VitalCare can help.
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