GE HealthCare Announces CareIntellect for Operations, Helping Health Systems Optimize Resources and Expand Access to Care
- Two leading academic medical centers will be the first health systems to implement CareIntellect for Operations
- Solution provides a 72-hour view of emerging operational bottlenecks and delivers actionable guidance tied to discharge, imaging, transfer, and other capacity needs
- Combines GE HealthCare’s proprietary AI models and more than two decades of hospital operations expertise
Health systems are facing rising demand, staffing shortages, and increasing costs. In 2025, inpatient volumes increased 5.3%, requiring health systems to care for more patients while operating at or near capacity.1, 2 In this environment, operational visibility and predictive insights are more important than ever. Yet leaders currently spend up to several hours each day gathering and analyzing data to answer basic operational questions, including pulling and reconciling data from multiple systems with little or no predictive foresight into oncoming bottlenecks. In some cases, teams still rely on manual processes to track operational updates and escalate issues. Even after leaders create a picture of the current state, they must then spend additional time determining how to mitigate emerging issues before they cascade into system-wide disruptions. These operational inefficiencies can create added churn for care teams, constrain patient access, and impact speed and quality of care delivery.
CareIntellect for Operations is designed to help health systems shift from reacting to operational pressure to anticipating and proactively managing resource constraints and bottlenecks. The application uses two proprietary GE HealthCare AI models. The Pressure Forecast model analyzes historical hospital operations data alongside real-time insights from the EMR and other resource management systems to predict potential resource constraints across hospitals, departments, and units up to 72 hours in advance, including census, staffing, boarding and wait times across the emergency department, therapies, procedural recovery, and inbound transfers. The Estimated Day of Discharge model analyzes longitudinal patient data to predict when individual patients are likely to be discharged, with estimates updated hourly as new information becomes available. It then surfaces recommended actions and dynamically prioritizes operational workflows to help teams address system strain and mitigate impacts to access, quality of care delivery, or capacity.
The Queen’s
“At Queen’s, improving access for the communities we serve is one of our top priorities, and optimizing our operations is critical to helping us achieve that,” said
"Managing demand and capacity across our system in a coordinated, predictable way is essential to delivering exceptional care,” said
CareIntellect for Operations is part of GE HealthCare’s CareIntellect™ family of clinical and operational applications which share a common, cloud-first infrastructure designed to allow customers to quickly and securely onboard new CareIntellect applications without having to take a costly and time-consuming product-by-product integration approach. CareIntellect for Operations runs on
“Health systems need to know where pressure is building and what to do next. CareIntellect for Operations brings together patient and operational signals to give teams a 72-hour view of emerging constraints and help them act earlier,” said Dr.
CareIntellect for Operations supports GE HealthCare’s strategy to deliver a new wave of innovation and further differentiate its portfolio of AI-enabled SaaS offerings that help health systems expand access, manage capacity, and keep care moving. Since 2023,
For more information on CareIntellect for Operations, visit: https://www.gehealthcare.com/en-us/products/software/careintellect/careintellect-for-operations?utm_source=newswire&utm_campaign=USC-USC-STO-CIO-AO-AWR-BL-26-09&utm_medium=article&utm_content=nw-press-release&utm_term=organic
|
1 |
|
2 |
|
3 |
|
4 |
|
5 |
|
6 The results are not prescriptive and could vary depending on user, electronic patient medical records software used, and level of adoption. |
View source version on businesswire.com: https://www.businesswire.com/news/home/20260915910295/en/
GE HealthCare Media Contact:
Sofia.mata-leclerc@gehealthcare.com
Source: