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 Comcast Reduced Wait Times by 30% and Support Calls with AI Virtual Assistants
Media & Entertainment
How Healthfirst and ClosedLoop Use Scalable AI/ML to Automate Clinical Workflows and Predict Health Outcomes
Healthcare & Medical
How Sage Publishing Uses Jasper AI to Automate and Scale Email Content Generation, Reducing Costs and Accelerating Marketing
Marketing & Advertising
How Target Uses AI-Driven Predictive Analytics and Visualization to Optimize Inventory and Marketing
Technology & SaaS
How Spotify Uses AI to Deliver Personalized Playlists and Enhance User Engagement
Media & Entertainment
How Stack Overflow Automated Bookkeeping to Cut Manual Processes by 90% and Improve Financial Insights
Technology & SaaS