Literature DB >> 26248142

The Language of Delirium: Keywords for Identifying Delirium from Medical Records.

Margaret R Puelle, Cyrus M Kosar, Guoquan Xu, Eva Schmitt, Richard N Jones, Edward R Marcantonio, Zara Cooper, Sharon K Inouye, Jane S Saczynski.   

Abstract

Electronic medical records (EMRs) offer the opportunity to streamline the search for patients with possible delirium. The purpose of the current study was to identify words and phrases commonly noted in charts of patients with delirium. The current study included 67 patients (nested within a cohort study of 300 patients) ages 70 and older undergoing major elective surgery with evidence of confusion in their medical charts. Eight keywords or phrases had positive predictive values of 60% to 100% for delirium. Keywords were charted more often in nursing notes than physician notes. A brief list of keywords may serve as a building block for a methodology to screen for possible delirium from charts, with particular attention to nursing notes, for research and real-time clinical decision making. Copyright 2015, SLACK Incorporated.

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Year:  2015        PMID: 26248142      PMCID: PMC4551393          DOI: 10.3928/00989134-20150723-01

Source DB:  PubMed          Journal:  J Gerontol Nurs        ISSN: 0098-9134            Impact factor:   1.254


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7.  Ascertainment of Delirium Status Using Natural Language Processing From Electronic Health Records.

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