Philips and SURFsara collaborate on big data platform
June 03, 2016
by Christina Hwang, Contributing Reporter
Philips and SURFsara, a supercomputing and data infrastructure provider for education and academic research, have partnered to connect the Philips HealthSuite cloud platform to the SURFsara National Research Infrastructure in hopes of providing cloud-based research services.
The cloud platform collects, compiles and analyzes clinical and other sources of data so health systems, care providers and patients can access information on personal health, specific patient conditions and entire patient populations.
The collaboration will specifically support research in precision medicine and population health — such as therapies for colon, prostate or breast cancer, according to the announcement — since these topics require large amounts of data from medical scanners, tissue biopsies, lab results, and genomics over long periods of time.
“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 health care research we want to facilitate collaboration on the next generation of breakthroughs in care delivery,” said Jeroen Tas, CEO of connected care and health informatics at Philips, in a statement.
The video below illustrates Philips HealthSuite where data is collected, then applied to algorithms to identify health patterns and trends.
Data scientists and clinical researchers will have access to a trove of data, supercomputing facilities, combined Philips and SURFsara analytic tools, machine learning technology, and IT services, so that they can use information available across medical institutions and research programs.
The platform will initially be for academic medical institutions and research programs but will later expand to support health care facilities and researchers.
Stored clinical data is growing at around 40 percent a year, according to the announcement, due to advancements in diagnostic medical imaging and patient monitoring, chronic disease management and the adoption of Internet of Things devices.
The cloud platform collects, compiles and analyzes clinical and other sources of data so health systems, care providers and patients can access information on personal health, specific patient conditions and entire patient populations.
The collaboration will specifically support research in precision medicine and population health — such as therapies for colon, prostate or breast cancer, according to the announcement — since these topics require large amounts of data from medical scanners, tissue biopsies, lab results, and genomics over long periods of time.
“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 health care research we want to facilitate collaboration on the next generation of breakthroughs in care delivery,” said Jeroen Tas, CEO of connected care and health informatics at Philips, in a statement.
The video below illustrates Philips HealthSuite where data is collected, then applied to algorithms to identify health patterns and trends.
Data scientists and clinical researchers will have access to a trove of data, supercomputing facilities, combined Philips and SURFsara analytic tools, machine learning technology, and IT services, so that they can use information available across medical institutions and research programs.
The platform will initially be for academic medical institutions and research programs but will later expand to support health care facilities and researchers.
Stored clinical data is growing at around 40 percent a year, according to the announcement, due to advancements in diagnostic medical imaging and patient monitoring, chronic disease management and the adoption of Internet of Things devices.