2023AI & Platform
Pulse Medical
Remote Patient Monitoring
HealthcareAIData
-12%Readmissions
99.999%Uptime
Deliverables
- Data Ingestion Pipeline
- Anomaly Detection Models
- Doctor Dashboard
Tech Stack
PythonAWS KinesisReactPostgreSQL
The Challenge
Understanding the problem
Hospitals needed a reliable way to monitor patients discharged after surgery, alerting doctors only when vital signs indicated a potential complication.
The Solution
Our approach
Developed an FDA-compliant data pipeline that ingests continuous sensor data. We implemented anomaly detection algorithms that filter out noise and flag true medical events.
The Outcome
Measurable impact
Reduced hospital readmission rates by 12% in the pilot program and improved patient peace of mind.
-12%Readmissions
99.999%Uptime
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