• Cornelius
  • What is Cornelius?

Cornelius is an evidence-based intelligence system that uses real-time predictive modeling/AI decision-support to focus prevention and improve health outcomes.

COVID-19 Work.

We are currently building and testing patient-level predictive models of COVID-19 diagnosis and prognosis.

The first predictive model assesses the probability of positive COVID-19 test result.

The second model assesses the probability that a COVID-19-positive person would need to be hospitalized.

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http://news.vanderbilt.edu/2013/10/cornelius-program-speeds-assessment-of-readmission-risk/

http://www.predictivemodelingnews.com/issues/pmnewspage1.pdf

• Project Goals
  • To improve outcomes of hospitalized patients by focusing prevention resources using real-time predictive models.
  • To provide rigorous scientific evaluations of the impact of the models on patient outcomes and publish the results in high-profile journals.
  • To facilitate other researchers in the implementation and evaluation of new models.
• Predictive Models
  • Pressure Ulcers
  • Hospital Readmissions

• • • Sepsis
    • Falls
    • Hospital acquired infections
    • Catheter-associated urinary tract infections
    • CLABSI
    • VTE
    • AKI
  • Research Behind Cornelius
    • State-of-the-art predictive modeling techniques to ensure that the models are robust and the findings will replicate.
    • Reproducible research methods.
    • Modern methods of assessing validity, reliability and calibration.
    • Rigorous randomized controlled trials to assess whether the models improve outcomes.
  • Contact Us
    • daniel.byrne@vanderbilt.edu
    • http://biostat.mc.vanderbilt.edu/wiki/Main/DanielByrne
    • https://www.vumc.org/dbmi/person/daniel-byrne
    • henry.domenico@vumc.org
    • http://biostat.mc.vanderbilt.edu/wiki/Main/HenryDomenico
    • Vanderbilt University Center for Technology Transfer & Commercialization
      • http://www.vanderbilt.edu/cttc/
      • cttc@vanderbilt.edu