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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 DisplayedAngier H, Gold R, Crawford C
Linkage methods for connecting children with parents in electronic health record and state public health insurance data.
The purpose of this study was to develop ways to create child-parent links in two healthcare-related data sources: Oregon clinics sharing an electronic health record (EHR) and Oregon Health Plan’s (OHP) administrative data. To create the child-parent links, researchers used the child’s emergency contact information from the EHR and household identification numbers from the OHP.
AHRQ-funded; HS018569
Citation: Angier H, Gold R, Crawford C .
Linkage methods for connecting children with parents in electronic health record and state public health insurance data.
Matern Child Health J. 2014 Nov;18(9):2025-33. doi: 10.1007/s10995-014-1453-8..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Data
Mehrabi S, Schmidt CM, Waters JA
An efficient pancreatic cyst identification methodology using natural language processing.
Accurate identification, surveillance and treatment of pancreatic cysts represents an opportunity to prevent pancreatic cancer. Much information about pancreatic cysts can be found in free text format in various narrative medical reports. To capture this information, the researchers modified their cyst identification technique using the Unstructured Information Management Architecture (UIMA) pipeline.
AHRQ-funded; HS019818.
Citation: Mehrabi S, Schmidt CM, Waters JA .
An efficient pancreatic cyst identification methodology using natural language processing.
Stud Health Technol Inform 2013;192:822-6..
Keywords: Cancer, Electronic Health Records (EHRs), Data, Health Information Technology (HIT), Prevention
