What does CORA stand for?
Cardiac Outcomes Risk Assessment
How is the CORA project funded?
CORA is currently funded by an NIH R01 grant: NIH R01 HL122639-01
What are the CORA project objectives?
To provide personalized prognostic tools for physicians and patients for survival and adverse events associated with VAD therapy.
To capitalize on advanced computer learning and data mining technology.
To assist the professional team with managing workflow.
To assist the patients and their families to work with their doctors to navigate the difficult decisions associated with severe heart failure.
How are CORA predictive models developed?
CORA models use a method of machine learning algorithms called Bayesian Networks. They are based on the probabilities of multiple variables influencing an outcome and allow for the interactions of dependent variables to be captured. This method of modeling also produces an intuitive visual, making the otherwise complex interactions straightforward for interpretation by clinicians.
Will CORA be able to be integrated with my EHR system?
Yes! We believe that optimal usability will come from seamless integration into pre-existing EHR systems. The current phase of CORA development includes integration with Epic Systems, but other system integration can be developed as well.
Can I participate in field testing?
We are interested in involving more institutions for field testing. Please contact us for more information.