Philips Cloud Medical Imaging Platform Utilizes AWS for AI Development
Philips has partnered with AWS for AI-driven cloud medical imaging, enhancing scalability, accelerating image access, and promoting generative AI applications while reducing costs.
Source: Philips logo
By - Royal Philips revealed plans to offer its HealthSuite Imaging PACS (picture archiving and communication system) through Amazon Web Services (AWS). This move utilizes Amazon HealthLake Imaging to automate storage, access, and analysis of imaging data in the cloud, enhancing the platform with AI development.
“With healthcare systems under increasing pressure, the focus of clinicians’ has shifted from technical specifications towards more efficient workflows that lead to accurate diagnoses – and that’s what we are delivering here,” Shez Partovi, chief innovation & strategy officer and business leader enterprise informatics at Philips, said in a press release. “By shifting from on-premises to the cloud, we can leverage the security, reliability, and unmatched breadth and depth of AWS to support healthcare organizations in their mission to deliver high quality care while easing the burden on their staff.”
The Amazon HealthLake Imaging platform will enhance Philips HealthSuite Imaging by increasing scale and offering rapid time to the first image. The integration of Philips HealthSuite Imaging with AWS expands Philips' data orchestration capabilities for radiologists and clinicians throughout the entire imaging workflow, from diagnosis to therapy selection, treatment, and follow-up.
Transitioning the platform to the AWS cloud, healthcare providers can eliminate the need for physical hardware and data centers previously used to host Philips' technology, potentially reducing health systems' costs. This allows clinicians to access the latest innovations from any location, while healthcare organizations can decrease expenses previously dedicated to on-premises hardware or data centers for hosting their image management platform.
Within this collaboration, Philips and AWS will utilize the newly launched Amazon Bedrock service to create generative AI tools. These tools will be driven by machine learning algorithms known as Foundation Models, designed to handle large volumes of data and execute tasks that are more complex than those performed by traditional AI models.
“Healthcare organizations are looking for ways to decrease operational costs, improve health data interoperability, and enable data-driven decision making for clinicians to improve access to quality patient-centered care,” Swami Sivasubramanian, vice president of database, analytics, and machine learning at AWS.
“Through democratizing access to generative AI and applying FMs to help support clinical decision-making, increase diagnostic accuracy, and automate administrative tasks, AWS will continue to support Philips as they uncover new ways to simplify radiologists’ workflow and reduce cognitive burden and clinician burnout.”
