Philips and SURFsara Team up to Provide Hospitals with 'Big Data' Research Services in the Cloud for Precision Medicine and Population Health Management

PhilipsRoyal Philips (NYSE: PHG; AEX: PHIA) and SURFsara (a subsidiary of the SURF cooperation), the leading Dutch high-performance supercomputing and data infrastructure provider for education and academic research, today announced a new collaboration with the aim to connect the Philips HealthSuite cloud platform to the SURFsara National Research Infrastructure to provide new cloud-based research services.

The services will specifically support research into precision medicine and population health. An example are new targeted therapies for colon, prostate or breast cancer that require bringing together massive amounts of data from medical scanners, tissue biopsies, lab results and genomics over long periods of time to generate deep and comprehensive views on a patient’s individual situation. Studies into population health need to combine extremely large health data sets of large groups of people. These are analyzed to find even the smallest correlations and patterns that could eventually lead to new approaches to enable early intervention and improve treatments

"Today, hospitals can already retrieve massive amounts data from multiple sources and various disciplines, and through research obtain new clinical insights," said Jeroen Tas, CEO Connected Care and Health Informatics at Philips. "But even greater value lies in combining, normalizing and analyzing the current islands of data. Our integrated services aim to combine data on all levels and connect health systems, clinical expertise and research programs in a secure and compliant manner. Through networked healthcare research we want to facilitate collaboration on the next generation of breakthroughs in care delivery."

Via a user-friendly portal for online collaboration, data scientists and clinical researchers will have secure high-speed access to Big Data, supercomputing facilities, combined Philips and SURFsara analytics tools, machine learning technology and IT services. It aims to enable scientists and researchers to seamlessly move, share, combine and re-use extremely large sets of data available across academic medical institutions and research programs and analyze them in a compliant manner.

"SURFsara supports the national life science research with ICT experience and has a mission to connect business to research," said Anwar Osseyran, SURFsara CEO and Professor of Business Analytics and Computer Science at the University of Amsterdam. "We will collaborate with Philips to enhance the cloud-base services of Philips and use these resources to make life science data available for science in the Netherlands and beyond."

The comprehensive new translational research environment envisaged initially aims to facilitate academic medical institutions and research programs, and will later expand to support healthcare centers of excellence and life sciences scholars to analyze the vast amounts of data generated by disciplines such as genomics, digital pathology and imaging. The Big Data research services will be open to collaborative research initiatives throughout Europe and beyond, reflecting the global nature of modern-day connected healthcare research in a compliant manner.

The volume of stored clinical data is growing at around 40% per year due to rapid advancements in diagnostic medical imaging and patient monitoring, chronic disease management as well as the growing adoption of medical-grade IoT devices (unobtrusive sensors) that enable enhanced patient self-measurement and opens a new dimension in high quality data collection. An even greater data explosion is predicted as access to and analysis of digital pathology and genomics data becomes more widely adopted.

Related news articles:

About Royal Philips
Royal Philips (NYSE: PHG, AEX: PHIA) is a leading health technology company focused on improving people's health and enabling better outcomes across the health continuum from healthy living and prevention, to diagnosis, treatment and home care. Philips leverages advanced technology and deep clinical and consumer insights to deliver integrated solutions. The company is a leader in diagnostic imaging, image-guided therapy, patient monitoring and health informatics, as well as in consumer health and home care. Philips’ wholly owned subsidiary Philips Lighting is the global leader in lighting products, systems and services. Headquartered in the Netherlands, Philips posted 2015 sales of EUR 24.2 billion and employs approximately 104,000 employees with sales and services in more than 100 countries.

About URFsara
SURFsara has the national high performance infrastructure for academic research, medical centers and research institutions. We create the bridge between research and our advanced ICT. We do so with scientific research in our DNA and unique expertise contained in our large scale infrastructure. This enables us to boost scientific research with complex computational modeling and analytics and management of big data. We also focus on developing initiatives for the business community.

SURFmarket, SURFnet and SURFsara are subsidiaries of the SURF cooperation, the collaborative ICT organization for Dutch education and research. SURF offers students, lecturers and scientists in the Netherlands access to the best possible internet and ICT facilities.

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...

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...

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...

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...

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)...

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...

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...