How Philips and Amazon Web Services are transforming healthcare with generative AI

Royal Philips, a global leader in health technology, has expanded its strategic collaboration with Amazon Web Services (AWS) to transform diagnostic workflows and improve healthcare outcomes through cloud technology and generative artificial intelligence (AI). The enhanced partnership focuses on leveraging cloud-enabled solutions to streamline clinical processes across radiology, cardiology, and digital pathology, promising faster insights and better care for patients worldwide.

Building on the success of its HealthSuite Imaging platform—already operational at over 150 sites in North and Latin America—Philips is accelerating the migration of healthcare systems to the cloud. The initiative now targets Europe and other global regions, underscoring the potential of integrating cloud-based informatics with advanced AI tools.

Unified workflows powered by the cloud

Philips HealthSuite Imaging delivers a unified view of patient data, integrating diagnostic information such as radiology images, pathology slides, and electronic health records. By leveraging AWS’s reliable and secure cloud infrastructure, Philips aims to provide scalable solutions that optimise diagnostic workflows while enabling real-time collaboration among healthcare teams.

The platform also enhances accessibility for clinicians, who can remotely access diagnostic tools and reporting features. AWS CEO Matt Garman highlighted the collaboration’s significance, noting that combining AWS’s AI capabilities with Philips’ healthcare solutions offers clinicians actionable insights to deliver efficient, high-quality care.

Generative AI: A new frontier in healthcare innovation

Central to the partnership is the integration of generative AI, which promises to revolutionise healthcare workflows by automating routine tasks and reducing administrative burdens. Philips plans to use Amazon Bedrock’s foundation models to create scalable AI applications that seamlessly integrate into clinical settings.

One of the most promising applications is conversational reporting, which allows clinicians to dictate findings in natural language, with AI converting these into structured, actionable reports. This innovation not only reduces the time spent on report editing but also ensures accuracy by integrating patient histories and clinical context.

Edward Steiner, a radiologist at The York/WellSpan Advanced Prostate Care Center, noted that such AI-driven tools could significantly improve workflow efficiency. He estimated a 15–20% increase in productivity when using Philips’ ambient reporting tools, underscoring the transformative potential of generative AI in clinical diagnostics.

Enhancing outcomes with cutting-edge innovation

As healthcare systems face rising patient volumes and growing complexity in diagnostic imaging, Philips’ collaboration with AWS represents a pivotal step toward addressing these challenges. By integrating generative AI into clinical workflows, the companies aim to reduce time-intensive processes and enable clinicians to focus on critical decision-making and patient care.

Philips CEO Roy Jakobs emphasised the collaboration’s importance, noting that combining cloud technology and generative AI supports the company’s mission to deliver better outcomes across clinical disciplines. Jakobs added that Philips’ approach aligns closely with the needs of healthcare providers, helping them meet increasing demands while enhancing care quality.

The road ahead

The expanded partnership between Royal Philips and Amazon Web Services reflects a broader trend in healthcare: the adoption of cloud-based solutions and AI to drive efficiency and innovation. By unifying diagnostic workflows and integrating advanced technologies, the collaboration positions itself as a model for the future of healthcare delivery.

As more healthcare providers adopt these solutions, the benefits could extend to a global scale, improving access, reducing costs, and ultimately enhancing patient outcomes.