ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018
Automatic Genetic Risk Assessment Calculation Using Breast Cancer Family History Data from the EHR compared to Self-Report.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches.Seizure · 2021Pooled it
- Cancer Health Assessments Reaching Many (CHARM): A clinical trial assessing a multimodal cancer genetics services delivery program and its impact on diverse populations.Contemporary clinical trials · 2021Trial
- Comparing Breast Cancer and Cardiovascular Risk among Women Undergoing Screening Mammography: Why Are Statins More Widely Accepted Compared with Chemoprevention?Cancer prevention research (Philadelphia, Pa.) · 2026Article
- Nonadherence to guidelines for genetic testing in families with ovarian cancer shows racial bias.Genetics in medicine : official journal of the American College of Medical Genetics · 2025Article
- User Comprehension and EHR Integration of theAMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Evaluating cancer genetic services in a safety net system: overcoming barriers for a lasting impact beyond the CHARM research project.Journal of community genetics · 2023Article
- Literacy-adapted, electronic family history assessment for genetics referral in primary care: patient user insights from qualitative interviews.Hereditary cancer in clinical practice · 2022Article
- Adaptation and early implementation of the PREdiction model for gene mutations (PREMMFamilial cancer · 2022Article
- Extraction of Electronic Health Record Data using Fast Healthcare Interoperability Resources for Automated Breast Cancer Risk Assessment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
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30815140PMC6371348What OpenQuestion holds
Registered trials
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