Philips and MIT IMES develop enhanced critical care data set to give researchers and educators access to advance clinical understanding and AI in healthcare
Royal Philips (NYSE: PHG) announced an expansion of its collaboration with MIT's Institute for Medical Engineering and Science (IMES) by releasing an updated eICU Collaborative Research Database (eICU-CRD). This new dataset comprises de-identified data from 200,000 critical care patients, including those affected by COVID-19, facilitating advanced machine learning and AI initiatives in healthcare.
The updated database encompasses detailed clinical information, addressing the unique challenges posed during the pandemic. It provides insights into patient treatments, outcomes, and co-morbidities, making it an invaluable resource for research. Over 3,000 users have already utilized the original dataset, contributing to over 660 academic publications, enhancing the potential for improving patient care and clinical outcomes.
- Expansion of the eICU-CRD enhances patient data access for global research initiatives.
- The dataset includes critical care info from 200,000 patients, boosting AI development.
- Existing eICU database already supported over 660 research papers, showcasing its value.
- None.
April 18, 2023
Latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning
Amsterdam, the Netherlands and Cambridge, MA, USA – Royal Philips (NYSE: PHG, AEX: PHIA), a health technology provider, today announced an expansion of its initiative with the Institute for Medical Engineering and Science (IMES) at the Massachusetts Institute of Technology (MIT) to allow health care researchers access to a new critical care data set to help advance machine learning and artificial intelligence (AI) in healthcare. The updated eICU Collaborative Research Database (eICU-CRD) includes de-identified data of 200,000 critical care patients, including patients who were impacted by COVID-19. The broader and clinically dependable data set will support the development of solutions that improve patient care and clinical outcomes.
During the COVID-19 pandemic, eICU and critical care saw a dramatic increase of patients and unique challenges in the way that care was provided, prompting Philips and IMES to expand the original data set, first released in 2016. The new secure database includes de-identified and detailed clinical information such as vital signs, pharmacy and medication orders, laboratory results, diagnoses, and novel severity of illness scores. The dataset gives comprehensive insights on patient treatments, co-morbidities, readmissions, and clinical outcomes.
Researchers at Philips and the Laboratory of Computational Physiology within IMES will grant researchers around the world access to the data to help develop advanced algorithms and provide new insights on critical care. The Laboratory of Computational Physiology will continue to serve as the academic research hub for the initiative and will provide and maintain access, as well as help educate researchers on the database and offer a platform for collaboration. The database is available for medical research, to those who are credentialed, who take human subjects training, and who agree to a data use agreement.
“The database, which includes patient information from 2020 and 2021, now contains significant overlap with the Covid-19 pandemic, yielding valuable patient data for research,” said Leo Anthony Celi, principal research scientist and clinical research director at the Laboratory of Computational Physiology at IMES. “This updated database is a vital resource for education, including in many courses at institutions like Harvard, MIT and Stanford; and training, as well as low-resource institutions,” said Jesse D. Raffa, research scientist in the Lab for Computational Physiology at IMES.
The eICU-CRD is the only dataset containing detailed critical care data from over 200 hospitals across the U.S., representing many ‘real-world’ challenges for successful deployment of algorithms and models, which are often not readily apparent in single-center datasets. Unlike other organizations that do not share data or only share single source data sets, Philips shares its data with credentialled researchers to help advance AI for improving outcomes in human health. More than 3,000 users have used the original database with citations in over 660 published academic research papers, including in Nature, The New England Journal of Medicine and the Journal of the American Medical Association.
“This initiative demonstrates our commitment to advancing machine learning and AI efforts, by making eICU data available for global research initiatives,” said Shiv Gopalkrishnan, General Manager of EMR & Care Management at Philips. “This is how we can enhance patient care and improve clinical outcomes: liberating and connecting data across systems and applications with integrated devices, systems and informatics, which can inform research with patient insights that can help clinicians make the right decision at the right time for their patients.”
For further information, please contact:
Silvie Casanova
Philips North America
Tel.+1 781 879 0692
E-mail: silvie.casanova@philips.com
Anna Hogrebe
Philips Global Press Office
Tel.: +1 416 270 6757
E-mail: anna.hogrebe@philips.com
Mindy Blodgett
MIT IMES
Tel.+1 617 324 4019
E-mail: mblodget@mit.edu
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. News about Philips can be found at www.philips.com/newscenter.
About IMES
The Institute for Medical Engineering and Science (IMES) at the Massachusetts Institute of Technology (MIT) is an inclusive community of students, administrative staff, research staff, and faculty who research, work, educate, and learn, at the convergence of engineering, science, and medicine to transform human health for all. More about IMES can be found at imes.mit.edu.
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