Telehealth
eICU Research Institute
Analytics to drive AI development and evidence-based best practices in the Intensive Care Unit
Philips eICU Research Institute (eRI), a non-profit institute established by Philips and governed by customers, provides a unique platform to create one of the most comprehensive de-identified databases of ICU care in the world. This integrated dataset is instrumental in product development and is a key enabler for critical research in the intensive care field. The eRI database contains billions of high-quality representative clinical data points that extend over more than 15 years, including the COVID-19 pandemic period.
Committed to sharing knowledge and the advancement of medicine
Philips eICU programs generate an incredible amount of data on ICU patient stays every year. Philips eICU Research Institute (eRI), a non-profit institute established by Philips and governed by customers, is a platform built from a repository of de-identified data, collected since 2008, that is used to advance knowledge of critical and acute care. For Philips customers that participate, eRI provides a unique platform to create one of the most comprehensive databases of ICU care in the world. In addition, eRI directly benefits customer telehealth programs as research is frequently translated.
A comprehensive dataset helping researchers solve real world challenges in critical care
Philips established the eRI platform as a key enabler for critical research in the intensive care field. The database is a repository of de-identified data collected in collaboration with our customers. The secure database is instrumental in product development and includes detailed clinical information such as vital signs, pharmacy and medication orders, lab results, diagnoses, and novel severity of illness scores. The dataset gives comprehensive insights on patient admissions, treatments, co-morbidities, readmissions, and clinical outcomes.
Unlocking the value of eRI: advancing critical care through collaborative research and innovation
The impact of eRI extends from product development to critical research and beyond, enabling academia and member organizations to collaborate, innovate and advance critical care together. This database has played a pivotal role in developing solutions for multiple clinical challenges, including epidemiology/large data analytics, AI and predictive analytics and learning data patterns and clinical strategies.
Critical care and high acuity: predictable and proactive
In the ICU, patients can become emergent quickly, and their care needs are constant and everchanging. This demanding care setting requires constant patient evaluation and care from the clinical staff. The Philps eICU program uses evidence-based decision-support tools, comprehensive analytics and specific predictive algorithms to provide data the virtual care team needs to help improve patient outcomes.
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Disclaimer
Results are specific to the institution where they were obtained and may not reflect the results achievable at other institutions. Results in other cases may vary.