Delayed diagnosis of breast cancer can increase patients’ morbidity and mortality. We used a novel algorithm to identify 9,001 family members of breast cancer patients. We found that 38.5% of patients did not receive screening as recommended by guidelines and 75.2% of women over 40 with a first-degree relative with breast cancer diagnosis were not screened. Informatics methods can be used to identify patients at risk for disease development, and therefore support clinical care.

Learning Objective: Application of informatics methods to identify patient cohort at risk for disease development


Fernanda Polubriaginof (Presenter)
NewYork-Presbyterian Hospital

Silis Jiang, NewYork-Presbyterian Hospital
Nicholas Tatonetti, Columbia University
David Vawdrey, NewYork-Presbyterian Hospital

Presentation Materials: