Philips Joins Forces with AWS to Bring Philips HealthSuite Imaging PACS to the Cloud and Advance AI-Enabled Tools in Support of Clinicians

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology today announced the availability of Philips HealthSuite Imaging on Amazon Web Services (AWS). Additionally, Philips and AWS will build on their relationship, advancing AI in healthcare by applying Foundation Models using Amazon Bedrock to accelerate the development of cloud-based generative AI applications that will provide clinical decision support, help enable more accurate diagnoses, and automate administrative tasks.

The availability of Philips HealthSuite Imaging on AWS is a new addition to Philips' broad capabilities in enterprise informatics, enabling improved image access speeds, reliability, and data orchestration for radiologists and clinicians across the entire imaging workflow - from diagnosis to therapy selection, treatment and follow-up. Clinicians will be able to access the latest innovations from any location, and healthcare organizations can reduce costs previously invested in on-premises hardware or data centers to host their image management platform.

Philips can help clinicians manage growing workloads amidst staff shortages and speed time to diagnosis and treatment, enhancing patient outcomes. Philips HealthSuite Imaging will use Amazon HealthLake Imaging to increase scale, deliver fast time to first image, enable easy re-use of images for Machine Learning and research, and reduce medical imaging costs.

Philips will also use Amazon Bedrock as part of its efforts to develop generative AI applications to advance PACS image processing capabilities and simplify clinical workflows and voice recognition. Amazon Bedrock will enable Philips to develop Machine Learning-based applications quickly and reduce model development costs versus building Foundational Models (FMs) from scratch or running multiple task-specific model development efforts.

"With healthcare systems under increasing pressure, the focus of clinicians' has shifted from technical specifications towards more efficient workflows that lead to accurate diagnoses - and that’s what we are delivering here," said Shez Partovi, Chief Innovation & Strategy Officer and Business Leader Enterprise Informatics at Philips. "By shifting from on-premises to the cloud, we can leverage the security, reliability, and unmatched breadth and depth of AWS to support healthcare organizations in their mission to deliver high quality care while easing the burden on their staff."

"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. "Through democratizing access to generative AI and applying FMs to help support clinical decision-making, increase diagnostic accuracy, and automate administrative tasks, AWS will continue to support Philips as they uncover new ways to simplify radiologists' workflow and reduce cognitive burden and clinician burnout."

Philips and AWS provide migration expertise and planning services, total-cost-of-ownership analysis, and cybersecurity technical expertise to enable an easy migration from on-premises to cloud-based solutions for customers.

To learn more about Philips' enterprise informatics portfolio, join Philips in person at HIMSS23 at booth #901 or visit Philips' virtual informatics experience and follow @PhilipsLiveFrom for #HIMSS23 updates throughout the event.

About Royal Philips

Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and well-being through meaningful innovation. Philips’ patient- and people-centric innovation leverages advanced technology and deep clinical and consumer insights to deliver personal health solutions for consumers and professional health solutions for healthcare providers and their patients in the hospital and the home. Headquartered in the Netherlands, the company is a leader in diagnostic imaging, ultrasound, image-guided therapy, monitoring and enterprise informatics, as well as in personal health. Philips generated 2022 sales of EUR 17.8 billion and employs approximately 77,000 employees with sales and services in more than 100 countries.

Most Popular Now

Researchers Find Telemedicine may Help R…

Low-value care - medical tests and procedures that provide little to no benefit to patients - contributes to excess medical spending and both direct and cascading harms to patients. A...

AI Revolutionizes Glaucoma Care

Imagine walking into a supermarket, train station, or shopping mall and having your eyes screened for glaucoma within seconds - no appointment needed. With the AI-based Glaucoma Screening (AI-GS) network...

AI may Help Clinicians Personalize Treat…

Individuals with generalized anxiety disorder (GAD), a condition characterized by daily excessive worry lasting at least six months, have a high relapse rate even after receiving treatment. Artificial intelligence (AI)...

Accelerating NHS Digital Maturity: Paper…

Digitised clinical noting at South Tees Hospitals NHS Foundation Trust is creating efficiencies for busy doctors and nurses. The trust’s CCIO Dr Andrew Adair, deputy CCIO Dr John Greenaway, and...

AI can Open Up Beds in the ICU

At the height of the COVID-19 pandemic, hospitals frequently ran short of beds in intensive care units. But even earlier, ICUs faced challenges in keeping beds available. With an aging...

Mobile App Tracking Blood Pressure Helps…

The AHOMKA platform, an innovative mobile app for patient-to-provider communication that developed through a collaboration between the School of Engineering and leading medical institutions in Ghana, has yielded positive results...

Can AI Help Detect Cognitive Impairment?

Mild cognitive impairment (MCI) can be an early indicator of Alzheimer's disease or dementia, so identifying those with cognitive issues early could lead to interventions and better outcomes. But diagnosing...

AI Model Predicting Two-Year Risk of Com…

AFib (short for atrial fibrillation), a common heart rhythm disorder in adults, can have disastrous consequences including life-threatening blood clots and stroke if left undetected or untreated. A new study...

Customized Smartphone App Shows Promise …

A growing body of research indicates that older adults in assisted living facilities can delay or even prevent cognitive decline through interventions that combine multiple activities, such as improving diet...

New Study Shows Promise for Gamified mHe…

A new study published in Multiple Sclerosis and Related Disorders highlights the potential of More Stamina, a gamified mobile health (mHealth) app designed to help people with Multiple Sclerosis (MS)...

Patients' Affinity for AI Messages …

In a Duke Health-led survey, patients who were shown messages written either by artificial intelligence (AI) or human clinicians indicated a preference for responses drafted by AI over a human...

New Research Explores How AI can Build T…

In today’s economy, many workers have transitioned from manual labor toward knowledge work, a move driven primarily by technological advances, and workers in this domain face challenges around managing non-routine...