Predictive Modeling

We evaluate populations with certain diseases, disease manifestations or outcomes, and retrospectively identify early signs of those diseases or indicators of those outcomes. These early markers are then combined in a predictive model to produce an individualized risk score, which can be tested as a highly sensitive and specific tool for flagging individuals at highest risk.

 

These models are employed by Clalit’s healthcare managers to identify clinical subgroups of patients at-risk that are then proactively approached by Clalit’s frontline clinical teams to allow for preventive measures to be taken. They are also used in resource and program planning, such as for vaccine outreach targeting or innovative patient selection.

 


 

RELATED PROJECTS

Pneumococcal Vaccine

Hospital Readmissions