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 JetBrains AI Assistant Accelerates Error Detection and Code Refactoring
Technology & SaaS
How Switchboard Centralized and Automated Employee Onboarding to Save 10 Hours Per New Hire
Technology & SaaS
How Shell Oil Company Uses AI for Predictive Maintenance Scheduling to Reduce Downtime
Manufacturing
How Balenciaga Collaborated with AKQA and OpenAI’s DALL-E 2 to Accelerate Fashion Design
Retail & E-commerce
How Tabnine Enhances Developer Productivity with AI-Powered Code Completion and Refactoring
Technology & SaaS
How Allegis Group and TEKsystems Use AI and MLOps to Streamline Recruitment and Scale Talent Solutions
Skilled Trades