Philips is expanding its partnership with Amazon Web Services (AWS). The company is making its integrated diagnostics portfolio, comprising radiology, digital pathology, cardiology and AI visualisation solutions, available via the cloud.
Philips has been engaged in a cloud migration for some time, with over 150 sites in North and Latin America migrated to its HealthSuite Imaging platform on AWS. It now wants to perform this migration for more European customers as well. To this end, Philips is joining forces with AWS. The collaboration improves diagnostic workflows, accessibility of insights and results within clinical specialities.
Integrated diagnostics in the cloud
Philips uses AWS cloud technology to aggregate patient data from various sources. The company integrates patient data from various diagnostic sources, such as radiology images, digital pathology sections and other clinical information. This integration supports healthcare teams, allowing them to better collaborate and optimise workflows. Remote clinical professionals can also use tools for diagnostics, reporting and organising workflows.
"The collaboration between Philips and AWS leads to scalable, secure, cloud-supported solutions for healthcare providers to accelerate innovation in healthcare," said Matt Garman, CEO of AWS. "By combining Philips' healthcare informatics portfolio with AWS' generative AI capabilities, clinicians will have access to imaging insights so they can provide more effective and efficient care to patients anywhere, anytime, with the best security and privacy."
Generative AI
Philips partners with doctors to develop solutions that respond to clinical challenges. Automating routine tasks and optimising workflows gives doctors more time for image interpretation, consultations and patient contact. Among other things, the company is betting on generative AI based on Amazon Bedrock models, which it plans to integrate into clinical workflows. The aim here is to reduce administrative burdens and repetitive tasks.
Amazon Bedrock is a cloud service from AWS that allows companies to build and deploy generative AI applications. It provides access to various foundation models from different providers, without users having to train or manage AI models themselves.
Conversational reporting
One example of a workflow that integrates generative AI is conversational reporting. This technology allows doctors to generate structured reports via spoken language, review them instantly and adjust them where necessary. Generative AI assists in report generation, integrating patient history and clinical context, and identifying inconsistencies. This reduces reporting time, improves quality and speeds up diagnoses, leading to better care.
Author: Wouter Hoeffnagel
