At the Clalit Research Institute, we monitor the progression of chronic illnesses, identify members at-risk for developing chronic illness, and target innovative and personalized treatments for their prevention and management.
The Clalit Research Institute has developed accurate algorithms to identify members at risk for diabetes and patients with diabetes.
A data-mining-based method to identify members at highest risk for developing colorectal cancer in order to target intensive outreach for screening.
A large-scale intervention study evaluating an innovative primary care physician-nurse team-based care management program for patients with multimorbidities.
An EHR-data-driven study to identify atrial fibrillation early and prevent its complications in the general population.
A five-year study found that children with asthma are 2.5 times more likely to experience an exacerbation in September compared to the prior summer months.