National Healthcare Quality and Disparities Report
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AHRQ Research Studies
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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 DisplayedMarsolo K, Margolis PA, Forrest CB
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
The authors collaborated with the ImproveCareNow Network to create a proof-of-concept architecture for a network-based Learning Health System. This collaboration involved transitioning an existing registry to one that is linked to the electronic health record (EHR), enabling a “data in once” strategy. This required automating a series of reports that support care improvement while also demonstrating the use of observational registry data for comparative effectiveness research.
AHRQ-funded; HS020024; HS022974.
Citation: Marsolo K, Margolis PA, Forrest CB .
A digital architecture for a network-based learning health system: integrating chronic care management, quality improvement, and research.
eGEMS 2015 Aug 17;3(1):1168. doi: 10.13063/2327-9214.1168..
Keywords: Electronic Health Records (EHRs), Registries, Patient-Centered Outcomes Research, Comparative Effectiveness, Health Information Technology (HIT)
Roch 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)