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Amazon and General Electric’s (GE) healthcare spinoff are teaming up to create artificial intelligence (AI) models they hope could make healthcare into a system that’s predictive and preventive instead of reactive.
The healthcare industry generates a massive amount of data from things like doctor’s notes, x-rays, and diagnostic tests. But a vast majority (97%) of that data isn’t accessible for clinicians because it’s unstructured and siloed, according to a press release from Amazon and GE HealthCare. The two companies plan to develop AI models that make it possible for clinicians to consolidate, access, and sort through that trove of patient data.
GE HealthCare plans to use Amazon Bedrock, the company’s service for building generative AI applications, to “tap the world’s leading foundation models and train new models to develop AI-powered application[s] to help hospitals and clinics access and gain insights for improving patient care based on a comprehensive view of their data, rather than just pieces of it,” according to a press release.
For example, clinicians could use AI tools to review a patient’s entire medical history quickly, which could help lead to a more timely diagnosis. The tools could also help clinicians detect health issues quicker and figure out precise treatments.
“Unfortunately, very little of [patient data] can be accessed efficiently and securely to help inform diagnoses, prognoses, or treatments for patients,” Taha Kass-Hout, chief technology officer at GE HealthCare, said in a statement. “Until recently, technology capable of aggregating, analyzing, and interpreting this data securely and efficiently simply didn’t exist.”
The companies hope the AI models will help clinicians “not just improve existing protocols and workflows, but invent entirely new approaches to deliver better patient care for everyone.”
“With AWS, GE HealthCare plans to use the cloud to deliver more personalized, intelligent, and efficient care,” AWS CEO Matt Garman said in a statement.