Key Takeaways
- GEHC (GE HealthCare) and Amazon Web Services are collaborating to create AI models for medical applications.
- The partnership aims to enhance data accessibility and efficiency.
- Initial applications will be for GE HealthCare employees and customers.
Addressing Data Challenges and Enhancing Operations
The healthcare sector generates nearly one-third of all global data but is unable to utilize as much as 97% of it due to varying file formats and storage systems. GE HealthCare and AWS believe that AI can streamline access to this data, enhancing screenings, diagnoses, decision support, and scheduling workflows. By creating more efficient ways to analyze and utilize data, the partnership hopes to transform how healthcare providers access and use critical information.
The new AI models developed through this collaboration will enable clinicians to leverage data more efficiently across healthcare operations. Dr. Taha Kass-Hout, GE HealthCare’s global Chief Science and Technology Officer, highlighted that AWS would help expedite the development and deployment of web-based medical imaging applications. These applications will provide easier access to analytics for radiologists and other doctors, helping them make more informed decisions and improving patient outcomes.
Leveraging AWS Infrastructure and Future Plans
GE HealthCare will use AWS solutions like Amazon Bedrock and Amazon SageMaker to build scalable AI models. This partnership will enhance GE HealthCare’s ability to develop and deploy AI tools quickly, ensuring healthcare providers have access to the latest technology.
Additionally, GE HealthCare plans to use generative AI to improve internal productivity, such as using Amazon Q Developer for real-time code suggestions to boost developer efficiency. The new AI models and applications will initially be available to GE HealthCare employees and customers, with plans for wider accessibility in the future.
