Identifying Patients Who Meet Criteria for Genetic Testing of Hereditary Cancers Based on Structured and Unstructured Family Health History Data in the Electronic Health Record: Natural Language Processing Approach (vol 10, e37842, 2022)

Jianlin Shi,Keaton L. Morgan,Richard L. Bradshaw,Se-Hee Jung,Wendy Kohlmann,Kimberly A. Kaphingst,Kensaku Kawamoto,Guilherme Del Fiol

JMIR medical informatics（2022）

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摘要

Compared with the structured data algorithm, the NLP-augmented algorithm based on both structured and unstructured family health history data in the EHR increased the number of patients identified as meeting the NCCN criteria for genetic testing for hereditary breast or ovarian and colorectal cancers.

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关键词

clinical natural language processing,cohort identification,family health history extraction,genetic testing of hereditary cancers

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