GE Healthcare & Mass General Brigham Collaborate on AI Algorithm to Bring Healthcare Operational Efficiency 

This partnership introduces an innovative AI application seamlessly integrated into the Radiology Operations Module (ROM). This digital imaging tool is precisely engineered to enhance scheduling efficiency, cut down on expenses, and relieve healthcare providers of administrative burdens. 

GE Healthcare and Mass General Brigham have announced collaboration focused on the co-development of an artificial intelligence (AI) algorithm aimed at increasing operational efficiency and productivity in healthcare.  

The initial result of this collaboration is an innovative AI application integrated into the Radiology Operations Module (ROM), a digital imaging tool designed to optimise scheduling, reduce costs, and alleviate administrative burdens on healthcare providers.  

This initiative is poised to enhance patient care by allowing clinicians more time for the crucial clinician-patient relationship. 

The Radiology Operations Module (ROM) and its schedule predictions dashboard, empowered by AI, are commercially available to healthcare institutions.  

This development is part of a broader effort to address the impending workforce shortage in the healthcare sector, as the United States is estimated to face shortfalls in various healthcare roles by 2025, as reported by Mercer, an industry market analytics firm. 

GE Healthcare's Chief AI Officer, Parminder Bhatia, commented on the collaboration, stating, "Through the fusion of distinctive datasets and cutting-edge machine learning methods, harnessing the synergy of clinical and technical proficiency, we are ushering in unprecedented healthcare advancements." 

Operational AI tools have the potential to address healthcare challenges, such as cost management and hospital inefficiencies, which can impact patient care.  

Missed Care Opportunities (MCO), which occur when patients miss appointments, fail to schedule follow-ups, or arrive late, can significantly affect patient care. The co-developed algorithm aims to predict MCOs and late arrivals, which could lead to increased flexibility, streamlined administrative operations, improved patient satisfaction, and enhanced accommodation for urgent, inpatient, or walk-in appointments. 

In preliminary testing, the algorithm demonstrated an impressive capability to predict missed care opportunities correctly, with accuracy rates of up to 96%, while maintaining low false-positive rates. 

Dr Keith Dreyer, chief data science officer at Mass General Brigham, emphasised the potential of operational AI and machine learning to unify healthcare providers and streamline data sets. He also underscored the strategic use of AI in reducing physician burnout and enabling healthcare professionals to dedicate more time to patient care, ultimately leading to better outcomes. 

This collaboration is part of a 10-year commitment between GE Healthcare and Mass General Brigham, initiated in 2017, to explore the application of AI across various diagnostic and treatment paradigms. The goal is to leverage AI technology to enhance each patient's healthcare journey. 

GE Healthcare is a leading global medical technology and digital solutions innovator dedicated to delivering integrated solutions and services that enhance hospital efficiency, clinician effectiveness, therapy precision, and patient well-being. 

GE Healthcare also recently announced obtaining a 510(k) clearance from the United States Food and Drug Administration (FDA) for its innovative Portrait Mobile wireless and wearable monitoring solution.  

The Portrait Mobile platform offers the capability for real-time continuous monitoring, providing a personalised overview of a patient's vital signs. Crucially, it allows patients to remain mobile during critical recovery phases, including post-surgery or discharge from the intensive care unit.