Amsterdam, Netherlands and Cambridge, Massachusetts, USA – Health technology provider Royal Philips (NYSE: PHG, AEX: PHIA) today announced the expansion of an initiative with the Institute for Medical Engineering Sciences (IMES) at the Massachusetts Institute of Technology (MIT). Access to new critical care data sets to help advance machine learning and artificial intelligence (AI) in healthcare. The updated eICU Collaborative Research Database (eICU-CRD) contains anonymized data from 200,000 critical care patients, including those affected by COVID-19. A broader and more clinically reliable data set will support the development of solutions that improve patient care and clinical outcomes.
During the COVID-19 pandemic, eICUs and critical care saw a dramatic increase in patient numbers and inherent challenges in how care was delivered, prompting Philips and IMES to develop the original, first released in 2016. Now it’s time to extend the data set. The new secure database contains de. – Identified detailed clinical information such as vital signs, pharmacy and medication orders, laboratory results, diagnoses, and new severity of disease scores. This dataset provides comprehensive insights into patient treatment, comorbidities, readmissions, and clinical outcomes.
Computational physiology researchers within Philips and IMES will grant researchers worldwide access to data, help develop advanced algorithms, and provide new insights into critical care. The Institute for Computational Physiology will continue to serve as the initiative’s academic research hub, providing and maintaining access, as well as helping educate researchers on the database and providing a platform for collaboration. The database is available for medical research by qualified persons, persons undergoing subject training, and persons agreeing to a data use agreement.
