GE HealthCare
(Nasdaq: GEHC)
and Mass General Brigham today announced an effort to co-develop an AI algorithm to increase operations effectiveness and productivity.
The duo announced this development plan as part of their 10-year collaboration, inked in 2017. They aim to develop the application for the schedule predictions dashboard of the Radiology Operations module. This digital imaging tool helps optimize scheduling, reduce cost and free providers from administrative burden. GE HealthCare said this allows more time for the clinician-patient relationship.
“Amid the vast sea of data and the heavy tasks that divert healthcare providers from patient care, our collaboration with Mass General Brigham is groundbreaking. 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,” said Parminder Bhatia, chief AI officer of GE HealthCare.
GE HealthCare and Mass General hope to use AI to address missed care opportunities (MCO). A patient missing an appointment, failing to schedule a follow-up or arriving late could constitute an MCO.
The co-developed algorithm aims to predict MCO and late arrivals, potentially increasing flexibility and streamlining administrative operations. This could improve patient satisfaction and better accommodate urgent, inpatient or walk-in appointments.
GE HealthCare said that, in preliminary tests, the algorithm predicted MCOs correctly. It produced accuracy rates of up to 96% with limited false positives.
“The strategic use of AI offers great potential for the future of healthcare, and we’re proud to be at the forefront of the movement. This technology has the potential to reduce burnout and allow physicians to spend more time with patients, which may ultimately lead to better outcomes,” said Keith Dreyer, chief data science officer, Mass General Brigham.
