Philips Joins AWS, Bringing PACS and AI-Enabled Tool Development to the Cloud
Royal Philips’ HealthSuite Imaging PACS is now available on Amazon Web Services (AWS), providing new cloud-based capabilities in enterprise informatics, enabling improved image access speeds, reliability, and data orchestration for radiologists and clinicians across the entire imaging workflow – from diagnosis to therapy selection, treatment and follow-up. Clinicians will be able to access the latest innovations from any location, and healthcare organizations can reduce costs previously invested in on-premises hardware or data centers to host their image management platform. Philips HealthSuite Imaging will use Amazon HealthLake Imaging to increase scale, deliver fast time to first image, enable easy re-use of images for Machine Learning and research, and reduce medical imaging costs.
The companies will also partner to advance AI in healthcare by applying Foundation Models using Amazon Bedrock to accelerate the development of cloud-based generative AI applications that will provide clinical decision support, advance PACS image processing capabilities and simplify clinical workflows and voice recognition. Amazon Bedrock will enable Philips to develop Machine Learning-based applications quickly and reduce model development costs versus building Foundational Models (FMs) from scratch or running multiple task-specific model development efforts.
“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,” said Shez Partovi, Chief Innovation & Strategy Officer and Business Leader Enterprise Informatics at Philips. “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.”
“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,” said 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.”