How CareHalo Uses AI for Scalable Remote Patient Monitoring and Chronic Disease Management

By: GoBeyond Team
July 27, 2025
3 min read
CareHalo AI remote patient monitoring dashboard

Quick Overview

CareHalo’s remote patient monitoring (RPM) module uses AI to track patients’ vital signs in real time, enabling scalable workflows for medical staff and proactive chronic disease management by analyzing continuous data streams from wearables and sensors.

CareHalo
CareHalo
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Scaling remote patient monitoring and early detection of health deterioration
Key Metrics

- Improved patient outcomes through proactive monitoring
- Scalable clinical workflows

The Problem

Manual monitoring limited scalability and timely intervention

The Solution

Implemented AI-driven RPM platform analyzing wearable sensor data for early detection and workflow automation

Results

- Enhanced chronic disease management
- Improved clinical efficiency
- Better patient engagement

Details

Industry
Healthcare & Medical
Departments
Data & Analytics
Use Cases
Client Health Monitoring
Tags
Predictive Modeling
Machine Learning
NLP
AI Tools Used
No items found.
Sources
https://riseapps.co/ai-in-remote-patient-monitoring/

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