How Boston Scientific’s HeartLogic™ Platform Uses AI for Early Heart Failure Decompensation Detection

By: GoBeyond Team
July 3, 2025
3 min read
Boston Scientific HeartLogic AI remote monitoring dashboard

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
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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