Methods Inf Med - A proof of concept for assessing emergency room use with primary care data and natural language processing.

Tópicos

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Resumo

JECTIVE: The objective of this study was to undertake a proof of concept that demonstrated the use of primary care data and natural language processing and term extraction to assess emergency room use. The study extracted biopsychosocial concepts from primary care free text and related them to inappropriate emergency room use through the use of odds ratios.METHODS: De-identified free text notes were extracted from a primary care clinic in Guelph, Ontario and analyzed with a software toolkit that incorporated General Architecture for Text Engineering (GATE) and MetaMap components for natural language processing and term extraction.RESULTS: Over 10 million concepts were extracted from 13,836 patient records. Codes found in at least 1% percent of the sample were regressed against inappropriate emergency room use. 77 codes fell within the realm of biopsychosocial, were very statistically significant (p < 0.001) and had an OR > 2.0. Thematically, these codes involved mental health and pain related concepts.CONCLUSIONS: Analyzed thematically, mental health issues and pain are important themes; we have concluded that pain and mental health problems are primary drivers for inappropriate emergency room use. Age and sex were not significant. This proof of concept demonstrates the feasibly of combining natural language processing and primary care data to analyze a system use question. As a first work it supports further research and could be applied to investigate other, more complex problems.

Resumo Limpo

jectiv object studi undertak proof concept demonstr use primari care data natur languag process term extract assess emerg room use studi extract biopsychosoci concept primari care free text relat inappropri emerg room use use odd ratiosmethod deidentifi free text note extract primari care clinic guelph ontario analyz softwar toolkit incorpor general architectur text engin gate metamap compon natur languag process term extractionresult million concept extract patient record code found least percent sampl regress inappropri emerg room use code fell within realm biopsychosoci statist signific p themat code involv mental health pain relat conceptsconclus analyz themat mental health issu pain import theme conclud pain mental health problem primari driver inappropri emerg room use age sex signific proof concept demonstr feasibl combin natur languag process primari care data analyz system use question first work support research appli investig complex problem

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