Next-Gen AI-Powered Remote Patient Monitoring Platform Industry

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Client

Platform Industry

Industry

Healthcare

Services Integrated

SMART on FHIR Integration with Epic EHR, Mobile App Development with IoT Device Connectivity, Web Application Development & Secure Re-Architecture

Tech stack used
Power BI
AWS
AWS SageMaker
Apache Airflow
Apache Spark
PostgreSQL
Redis
FastAPI
Scikit-Learn
XGBoost
Docker
Kubernetes
HashiCorp Vault
Power BI
AWS
AWS SageMaker
Apache Airflow
Apache Spark
PostgreSQL
Redis
FastAPI
Scikit-Learn
XGBoost
Docker
Kubernetes
HashiCorp Vault

Challenges And Objectives

Remote Patient Monitoring holds enormous potential, but legacy RPM platforms struggle to deliver reliable, real-time intelligence at enterprise scale. The core challenges included:

Solutions

The Intellivon Approach

Most legacy Remote Patient Monitoring systems depend on fixed thresholds and isolated device data, making early-risk detection unreliable. We built an AI-driven monitoring platform that unifies continuous vitals, EHR context, and clinician notes into real-time, explainable insights. The platform supports the following capabilities:

Real Results

Our AI-powered RPM platform shifted patient monitoring from reactive tracking to proactive, predictive care, enhancing accuracy, speed, and compliance enterprise-wide:

Higher Predictive Accuracy: 87% precision in early-risk detection from continuous vitals and EHR data.
Faster Clinical Response: <200 ms inference enabled 64% quicker interventions and treatment actions.
Operational Efficiency: Automated pipelines cut manual triage and documentation by 60%.
Scalability & Reliability: Millions of daily data events processed with 99.97% uptime.
Regulatory & Data Trust: Explainable AI and audit logs ensured full HIPAA/GDPR/SOC 2 compliance.

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