Health technology company Royal Philips announced that it is offering its HealthSuite Imaging PACS (picture archiving and communication system) on Amazon Web Services (AWS).
Philips HealthSuite Imaging will use Amazon HealthLake Imaging, a purpose-built service launched by AWS in 2021, to automate processes for storing, accessing and analysing medical imaging data in the cloud.
The Amazon HealthLake Imaging platform will enable Philips HealthSuite Imaging to increase scale and offer fast time to the first image. Furthermore, it will enable images to be reused for machine learning (ML) and research while also reducing medical imaging costs.
Launching the company’s imaging solution of AWS will help optimise image access speeds and improve data orchestration for radiologists and clinicians across the imaging workflow ranging from diagnosis to therapy selection, treatment and follow-up.
The shift to the cloud will also allow clinicians to access the latest innovations from remote locations and eliminate costs related to on-premises hardware or data centres to host image-management platforms.
Shez Partovi, Philips enterprise informatics business leader and chief innovation and strategy officer, said: “By shifting from on-premises to the cloud, we can leverage the security, reliability and unmatched breadth and depth of AWS to support healthcare organisations in their mission to deliver high-quality care while easing the burden on their staff.”
Furthermore, the company will advance AI in healthcare by applying foundation models using Amazon Bedrock for the development of generative AI applications to accelerate PACS image processing capabilities. It will also focus on simplifying clinical workflows and voice recognition.
Amazon Bedrock will support the rapid development of ML-based applications while cutting costs linked to model development.
AWS database, analytics and ML vice-president Swami Sivasubramanian said: “Healthcare organisations 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-centred care.”