Philips Launches HealthSuite Clinical Trial Accelerator to Help Life Science Organizations Run More Flexible, Patient-Centric Clinical Trials

PhilipsRoyal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, announced Clinical Trial Accelerator on Philips HealthSuite. This new tailored set of capabilities allows life science organizations to integrate, analyze and store clinical and patient-reported data from multiple sources, providing actionable insights for better, faster decision-making.

Philips HealthSuite is an integrated, modular set of standards-based capabilities that support the development of digital propositions across the health continuum, encompassing HIPAA compliant, secure cloud capabilities. Clinical Trial Accelerator enables patient-centric trials at home, managing the collection of data while providing the security and compliance expected from both patients and life science organizations.

Life science organizations face continued pressure to run more efficient, cost-effective clinical trials. Empowering patients and making it easier for them to stay connected and contribute to a trial can have a significant impact on compliance rates and overall success. At the same time, collecting data and identifying actionable insights while ensuring the security and compliance of patient information is key. Clinical Trial Accelerator is designed to address these challenges, helping life science organizations reach their goals faster and supporting greater flexibility in trial design.

"Philips HealthSuite already provides cloud-based services and tools to a wide array of healthcare organizations, and with Clinical Trial Accelerator we have created a tailored set of capabilities to support life science organizations," said Dale Wiggins, General Manager for the HealthSuite digital platform at Philips. "Our innovative, flexible cloud platform leverages our global healthcare capabilities and is supported by our compliance, security and interoperability expertise."

Tailored capabilities to accelerate clinical trials

Other HealthSuite capabilities include an AI Analytics Workbench for enhanced decision making and standards-based interoperability for Digital Imaging and Communication in Medicine (DICOM) data, as well as the HealthSuite Clinical Data Lake, a new scalable micro-service that acts as a centralized big data repository for high-volume clinical data collection studies and includes controls to curate and manage data in a manner that addresses regulatory requirements.

These HealthSuite capabilities offer companies cloud-based services and technical tools that meet privacy, security and regulatory requirements that they can use to develop and run a new generation of connected healthcare applications. Unlike other digital platforms, HealthSuite is purpose-built to solve the complex challenges of healthcare, featuring capabilities to manage device data, collect personal and health data, store and share data securely, analyze data, build and deploy AI models, and create solutions on the cloud.

In addition, these HealthSuite capabilities power a wide range of both Philips and 3rd party connected healthcare applications in areas including image-guided therapy, sleep and respiratory care, ophthalmology, telehealth and self-medication. For 3rd party collaborations, Philips is the provider of the relevant cloud-based healthcare IT infrastructure and is not involved in the commercialization of the products and services of these companies.

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. Headquartered in the Netherlands, 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 generated 2019 sales of EUR 19.5 billion and employs approximately 81,000 employees with sales and services in more than 100 countries.

Most Popular Now

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Are You Eligible for a Clinical Trial? C…

A new study in the academic journal Machine Learning: Health discovers that ChatGPT can accelerate patient screening for clinical trials, showing promise in reducing delays and improving trial success rates. Researchers...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...

Global Study Reveals How Patients View M…

How physicians feel about artificial intelligence (AI) in medicine has been studied many times. But what do patients think? A team led by researchers at the Technical University of Munich...