Quick Overview
University of Alabama at Birmingham Medicine deployed the AI-enabled Sickbay platform for real-time acquisition and synchronization of multi-vendor monitoring device data during cardiac procedures, enabling personalized patient care and optimized intraoperative blood pressure management.
University of Alabama at Birmingham Medicine
Company Size
Not publicly disclosed
Revenue Range
Not publicly disclosed
Primary Challenge
Integrating diverse monitoring data for optimized surgical patient management
Key Metrics
\- Improved patient data collection\- More complete ongoing patient status views\- Optimized intraoperative blood pressure control
The Problem
Fragmented device data limited real-time clinical decision-making
The Solution
Implemented Sickbay AI platform for vendor-agnostic data integration and real-time visualization during surgery
Results
\- Enhanced patient monitoring\- Improved surgical outcomes\- Personalized intraoperative management
Details
Industry
Healthcare & Medical
Departments
Data & Analytics
Use Cases
Client Health Monitoring
Tags
Real-Time Processing
Predictive Modeling
AI Tools Used
No items found.
Sources
https://digitaldefynd.com/IQ/ai-in-healthcare-case-studies/
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