Elizabeth W. Carter

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Recent initiatives have emphasized the potential role of Electronic Health Record (EHR) systems for improving tobacco use assessment and cessation. In support of these efforts, the goal of the present study was to examine tobacco use documentation in the EHR with an emphasis on free-text. Three coding schemes were developed and applied to analyze 525(More)
Drug misuse is a prominent cause of morbidity and mortality in the United States. Recent focus on behavioral and social domains in the electronic health record (EHR) has highlighted the need for comprehensive examination of social history information, such as drug use. In this study, representation of drug use was examined in three types of sources: (1)(More)
The debate regarding potential negative health effects of electronic nicotine delivery systems (ENDS), which include electronic cigarettes, has received much recent attention. Currently, it is unknown whether ENDS pose a real health risk to users or those passively exposed to their vapor. With the increased use of these devices, the goal of this study was(More)
OBJECTIVE To integrate data elements from multiple sources for informing comprehensive and standardized collection of family health history (FHH). MATERIALS AND METHODS Three types of sources were analyzed to identify data elements associated with the collection of FHH. First, clinical notes from multiple resources were annotated for FHH information.(More)
Within clinical discourse, social history (SH) includes important information about substance use (alcohol, drug, and nicotine use) as key risk factors for disease, disability, and mortality. In this study, we developed and evaluated a natural language processing (NLP) system for automated detection of substance use statements and extraction of substance(More)
Despite increased functionality for obtaining family history in a structured format within electronic health record systems, clinical notes often still contain this information. We developed and evaluated an Unstructured Information Management Application (UIMA)-based natural language processing (NLP) module for automated extraction of family history(More)
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