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/
More Case Studies
See All
How Docugami’s AI Document Engineering Accelerates Data Extraction Across Multiple Industries
Real Estate
How Cove Smart Reduced Response Times by 80% and Increased Self-Service with Tidio’s Lyro AI
Technology & SaaS
How Wayfair Uses AI to Automate Product Catalog Enrichment and Improve Operational Efficiency
Retail & E-commerce
How ABB Ltd. Increased Production Efficiency and Reduced Energy Costs with AI-Enhanced Robotics
Manufacturing
How Euroflorist Increased Website Conversion Rates with AI-Driven Multivariate Testing
Retail & E-commerce
How Quantzig Built an AI-Powered Decision Dashboard to Streamline Insights and Improve Executive Decision-Making for a Leading Pharma Giant
Healthcare & Medical