News | HIMSS | April 18, 2023

Philips and MIT IMES have announced the development of an enhanced critical care data set to give researchers and educators access to advance clinical understanding and AI in healthcare. A Philips statement notes that the latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning.

Philips and MIT IMES have announced the development of an enhanced critical care data set to give researchers and educators access to advance clinical understanding and AI in healthcare.

Philips and MIT IMES have announced the development of an enhanced critical care data set to give researchers and educators access to advance clinical understanding and AI in healthcare. A Philips statement notes that the latest clinical data set of 200,000 patients from over 200 hospitals, includes pandemic data for a broader and dependable foundation for machine learning. Photo credit: Philips.


April 18, 2023 — An expansion of its initiative with the Institute for Medical Engineering and Science (IMES) at the Massachusetts Institute of Technology (MIT) has been announced by health technology provider Royal Philips (Philips) during the Health Information and Management Systems Society (HIMSS) Global Conference and Exhibition, HIMSS 2023, being held in Chicago, IL. In reporting the announcement, Philips noted the expansion will 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, according to the company statement.

“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, MD, MSc, MPH, principal research scientist and clinical research director at the Laboratory of Computational Physiology at IMES.

Jesse D. Raffa, also a research scientist in the IMES Laboratory for Computational Physiology, said, “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.”

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 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, reported the April 18 Philips statement. It also noted that, 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 (JAMA).

“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. He added, “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.”

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 information: www.philips.com

Find more HIMSS23 conference news coverage here 


Related Content

News | Radiology Business

May 26, 2023 — HIMSS has appointed two technology executives at the helm as chair and vice chair of the HIMSS Board of ...

Time May 26, 2023
arrow
News | Computed Tomography (CT)

May 26, 2023 — GE HealthCare, a leading medical technology innovator, announced today its largest ever CT deal in the ...

Time May 26, 2023
arrow
News | Breast Density

May 25, 2023 — Researchers from the Mayo Clinic (Rochester, MN) and University of California, San Francisco confirmed ...

Time May 25, 2023
arrow
News | Artificial Intelligence

May 24, 2023 — Since the launch of ChatGPT in November 2022, the use of large language models (LLMs) powered by ...

Time May 24, 2023
arrow
News | Artificial Intelligence

May 19, 2023 — The latest version of ChatGPT passed a radiology board-style exam, highlighting the potential of large ...

Time May 19, 2023
arrow
News | Computed Tomography (CT)

May 18, 2023 — Royal Philips, a global leader in health technology, announced the launch of the Philips CT 3500, a new ...

Time May 18, 2023
arrow
News | Digital Pathology

May 18, 2023 — Paige, a global provider of end-to-end digital pathology solutions and clinical Artificial Intelligence ...

Time May 18, 2023
arrow
News | Digital Radiography (DR)

May 17, 2023 — After nearly a year of official review and verification, Director of Global Sales Mike Cairnie of MinXray ...

Time May 17, 2023
arrow
Videos | Information Technology

HIMMS is working to bring empirical knowledge and evidence of value and impact of digital maturity measured by the HIMSS ...

Time May 17, 2023
arrow
Videos | Information Technology

Healthcare is constantly evolving, finding new ways to innovate and advance digital tools and technology. With this ...

Time May 11, 2023
arrow
Subscribe Now