Quick Overview
Boston Scientific’s HeartLogic™ platform uses AI to analyze multi-source patient data collected remotely via wearables and sensors, predicting heart failure decompensation up to 34 days in advance to enable early intervention and reduce hospitalizations.
Boston Scientific
Company Size
~36,000 employees
Revenue Range
$12B+ annual revenue
Primary Challenge
Early detection of heart failure decompensation to reduce hospital visits
Key Metrics
\- Early detection of decompensation up to 34 days ahead\- Proactive care enabled\- Reduced hospital visits and readmissions
The Problem
Late detection of heart failure exacerbations led to increased hospitalizations
The Solution
Deployed AI-powered remote patient monitoring platform integrating sensor data and predictive analytics
Results
\- Improved patient outcomes\- Reduced hospital admissions\- Enhanced chronic disease management
Details
Industry
Healthcare & Medical
Departments
Data & Analytics
Use Cases
Client Health Monitoring
Tags
Predictive Modeling
Machine Learning
AI Tools Used
No items found.
Sources
https://riseapps.co/ai-in-remote-patient-monitoring/https://healthsnap.io/ai-in-remote-patient-monitoring-the-top-4-use-cases-in-2024/
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