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eICU Research

Institute

Big data that’s changing the face of critical care

 

 

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A commitment to shared 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 data that is used to advance knowledge of critical and acute care.
For Philips customers that participate, eRI provides access to the most comprehensive database of ICU care in the world and opportunities for sponsored research and to participate in an initiative that has a significant impact on critical care. In addition, eRI directly benefits customer telehealth programs as research is frequently translated into new and advanced tools and programs.

Analytics which drive evidence-based best practice

Philips eICU Research Institute (eRI) was established by Philips as a platform to advance the knowledge of critical care. The ERI database is a repository of anonymous data donated by member institutions and is instrumental in product development as well as a key enabler for critical research in the intensive care field.
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Real world results

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. The following is just a sample of what’s been done and what’s possible with eRI:

 

Product development – Improving Philips clinical decision support tools

  • Discharge readiness score
  • Pain, agitation, delirium automated acuity score
  • Automated acuity score

Research – Improving critical care

  • Critical Care Benchmarks 2008 (CHEST)
  • ICU-Acquired Dysglycemia (Journal of Critical Care Medicine)
  • ICU-Acquired Hypernatremia (Journal of Critical Care Medicine)
  • Sepsis-etomidate (Journal of Critical Care Medicine)
  • MI patients admitted to the “wrong” ICU (dev. stage)
  • Impact of adherance to ICU best practices (dev. stage)

Continually evolving, continually improving

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Product development

 

  • Discharge readiness score
  • Pain, Agitation, Delirium orb
  • Automated Acuity orb

Collaboration

 

  • Hemodynamic instability alert development using MIMIC data
  • Immunetrics Sepsis Predictive model development
  • Briarcliff engagement on Big Data

Research

 

  • Critical Care Benchmarks: 2008 (chest)
  • ICU-Acquired Dysglycemia (Critical Care medicine
  • ICU-Acquired Hypernatremia (Journal of Critical Care)
  • Sepsis-etomidate (Critical Care Medicine)
  • MI patients admitted to the “wrong” ICU (dev. stage)
  • Impact of adherance to ICY best practices (dev. stage)

Related offerings

    Resources

    Philips and MIT investigators collaborate to give researchers unprecedented access to critical care patient data

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    By clicking on the link, you will be leaving the official Royal Philips Healthcare ("Philips") website. Any links to third-party websites that may appear on this site are provided only for your convenience and in no way represent any affiliation or endorsement of the information provided on those linked websites. Philips makes no representations or warranties of any kind with regard to any third-party websites or the information contained therein.

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