Amazon Web Services is integrating Philips HealthSuite Imaging to help providers transition to cloud-based solutions, boosting speed of access to images and facilitating automated data orchestration for greater efficiency.

Philips HealthSuite Imaging will allow clinicians to access up-to-date features from any location, while reducing the need for the on-premises hardware and data centers conventionally used to host image management platforms.

The companies will use Amazon Bedrock, which was released this month, to leverage foundation models, which are trained on large unlabeled data sets and used for application development, to create cloud-based generative AI solutions for clinical decision support, making accurate diagnoses, and automating administrative tasks.

“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, in a statement.

Philips HealthSuite Imaging will be paired with Amazon HealthLake Imaging, a HIPAA-eligible service that provides chronological views of individual or patient population health data, to increase scale, facilitate fast access to first images, reuse images in machine learning and research, and reduce associated costs.

Philips will use Amazon Bedrock to develop applications that will expand processing for PACS images, simplify clinical workflows and voice recognition, and develop machine learning-based applications quickly. With the technology, the company can avoid having to build foundational models from scratch or go through multiple steps to create specific models, reducing development costs.

Amazon Bedrock creates foundation models for text and images from AI21 Labs, Anthropic, Stability AI, and Amazon accessible via an API, providing different users equal access to this paradigm. Providers can customize foundation models using their own data and then integrate and deploy them in their own applications with AWS tools, allowing them to cater to their own specific patient populations.

“With healthcare systems under increasing pressure, the focus of clinicians has shifted from technical specifications toward more efficient workflows that lead to accurate diagnoses — and that’s what we are delivering here,” said Shez Partovi, chief innovation and strategy officer and business leader of enterprise informatics at Philips.

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