Health technology firm Philips has announced the expansion of its strategic collaboration with Amazon Web Services (AWS) to offer Philips’ integrated diagnostics portfolio in the cloud, including digital pathology, radiology, cardiology, and AI advanced visualisation solutions.
The collaboration aims to unify diagnostic workflows, improving access to critical insights and driving better outcomes across clinical specialties. Philips has already successfully transitioned over 150 sites across North America and Latin America to Philips HealthSuite Imaging on AWS and is building on its collaboration with AWS to accelerate the migration of health systems to the cloud, and will expand to include customer cloud migrations in Europe.
Philips offers scalable healthcare informatics solutions by leveraging industry-leading cloud availability, reliability and security from AWS. Philips’ cloud-based solutions will offer a unified view of patient data from diverse diagnostic sources, including radiology images, digital pathology slides, and other clinical records to support care team collaboration and optimise workflows. Clinicians also benefit from remote access to diagnostic, reporting, and workflow orchestration tools, which can enhance diagnostic capabilities across healthcare imaging, from diagnosis to treatment and follow-up.
“The collaboration between Philips and AWS gives healthcare providers scalable, secure-by-design cloud-enabled solutions to accelerate healthcare innovation,” said Matt Garman, CEO of AWS. “Combining Philips’ healthcare informatics portfolio with AWS generative AI capabilities gives clinicians access to imaging insights so they can deliver more effective and efficient care to patients anywhere, anytime, with best-in-class security and privacy.”
As healthcare providers continue to face significant challenges, Philips works closely with clinicians to develop innovative ways to address the increasing clinical demands. By automating routine tasks and optimising workflows, clinicians would be able to dedicate more time to image interpretation, consultations, and patient interactions. Philips aims to create robust and scalable generative AI applications that leverage state-of-the-art foundation models from Amazon Bedrock, and seamlessly integrate into clinical workflows. In the future, these AI applications may reduce administrative burdens and time-consuming repetitive tasks, helping clinicians focus their expertise where it matters most – in critical decision-making.
One example of how Philips is exploring generative AI as part of its innovation roadmap is through conversational reporting, allowing clinicians to use conversational language to convert findings into structured reports, which can then be reviewed. These capabilities can help construct and revise reports in real-time, add diagnostic impressions, and flag potential inconsistencies. Generative AI has the potential to reduce report editing time, while maintaining high quality by integrating patient histories and clinical context into the final diagnostic report. Optimised reporting could help lead to quicker diagnosis and support better overall quality of care.