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/
More Case Studies
See All
How China State Construction Reduced Rework by 18% Using AI-Powered Cameras and IoT Sensors
Construction
How DNAMIC Developed AI-Powered Wearable Devices for Cardiovascular Health Monitoring
Healthcare & Medical
How Built In Improved Win Rates and Deal Size by 10%+ Using Apollo’s Data Enrichment
Technology & SaaS
How a Retail Client Improved Customer Feedback Response Time and Satisfaction Using AI Analytics
Retail & E-commerce
How GetGenerative.ai Optimizes Task Assignment and Scheduling with AI-Driven Project Management
Technology & SaaS
How Rupp Pfalzgraf Increased Case Workload by 10% Using Lexis+ AI for Legal Research and Drafting
Legal