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Description

Genetic testing is a method to assess hereditary cancer risk. However, it is under-utilized and various methods of family history intake have been evaluated in previous studies. The six-point-scale (SPS) is a validated family history screener that is used to determine eligibility for BRCA genetic counseling. We automated the calculation of the SPS score using structured family history data along with free text from the electronic health record (EHR) to detect detailed family history information of breast cancer. We extracted data for all women aged 35 to 74 who had screening mammography at Columbia University Medical Center (CUMC) from January 2015 to May 2017 (N=37,596). After we calculated SPS scores using structured and free-text EHR data, we compared the results with SPS score calculated from a baseline survey conducted for a prospective study called Know Your Risks: Assessment at Screening (KYRAS). Among 1,202 patients with EHR structured family history data, we found 1.43% had an SPS score of 6 higher which meets criteria for genetic counseling referral, while 12.05% of the survey respondents had SPS score of 6 or higher. Results show there is a need for more efficient methods to identify patients eligible for genetic counseling through EHR analysis.

Learning Objective 1: 1) Understand the genetic risk of BRCA gene mutation and preventive options.
2) Automating calculation of BRCA genetic risk using structured family history data of breast cancer from EHR.
3) Define limitations of current EHR for genetic risk assessment.

Authors:

Margaret Sin (Presenter)
Columbia University

Julia McGuinness, Columbia University
Meghna Trivedi, Columbia University
Alejandro Vanegas, Columbia University
Thomas Silverman, Columbia University
Katherine Crew, Columbia University
Rita Kukafka, Columbia University

Presentation Materials:

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