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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 2 of 2 Research Studies DisplayedRoch AM, Mehrabi S, Krishnan A
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
The purpose of this study was to implement an automated Natural Language Processing (NLP)-based pancreatic cyst identification system. It found that NLP is an effective tool to automatically identify patients with pancreatic cysts based on electronic medical records (EMR). This highly accurate system can help capture patients ‘at-risk’ of pancreatic cancer in a registry.
AHRQ-funded; HS019818.
Citation: Roch AM, Mehrabi S, Krishnan A .
Automated pancreatic cyst screening using natural language processing: a new tool in the early detection of pancreatic cancer.
HPB 2015 May;17(5):447-53. doi: 10.1111/hpb.12375..
Keywords: Cancer, Electronic Health Records (EHRs), Registries, Health Information Technology (HIT)
Dingfield L, Bender L, Harris P
Comparison of pediatric and adult hospice patients using electronic medical record data from nine hospices in the United States, 2008-2012.
The researchers aimed to assess differences between pediatric and adult hospice patients regarding patient characteristics and outcomes. They found that pediatric patients were less likely to have an admitting diagnosis of cancer and less likely to use oxygen at enrollment but were more likely to have an enteral feeding tube. Also, pediatric patients were half as likely as adults to have a do-not-resuscitate order upon hospice enrollment.
AHRQ-funded; HS018425; HS021780.
Citation: Dingfield L, Bender L, Harris P .
Comparison of pediatric and adult hospice patients using electronic medical record data from nine hospices in the United States, 2008-2012.
J Palliat Med 2015 Feb;18(2):120-6. doi: 10.1089/jpm.2014.0195..
Keywords: Cancer, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT)