Determination of Marital Status of Patients from Structured and Unstructured Electronic Healthcare Data.
Brian T Bucher, Jianlin Shi, Robert John Pettit, Jeffrey Ferraro, Wendy W Chapman, Adi Gundlapalli
AMIA Annu Symp Proc | Published : 2019
Social Determinants of Health, including marital status, are becoming increasingly identified as key drivers of health care utilization. This paper describes a robust method to determine the marital status of patients using structured and unstructured electronic healthcare data from a single academic institution in the United States. We developed and validated a natural language processing pipeline (NLP) for the ascertainment of marital status from clinical notes and compared the performance against two baseline methods: a machine learning n-gram model, and structured data obtained from the electronic health record. Overall our NLP engine had excellent performance on both document-level (F1 ..View full abstract