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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.
Results
1 to 3 of 3 Research Studies DisplayedWang E, Kang H, Gong Y
Generating a health information technology event database from FDA MAUDE reports.
This study examined using a health information technology (HIT) event database to identify patient safety events (PSEs) or medical errors. The study used the FDA Manufacturer and User Facility Device Experience (MAUDE) database to extract HIT events. Classic and CNN models were utilized on a test set. The model was capable of identifying HIT event with about a 90% accuracy.
AHRQ-funded; HS022895.
Citation: Wang E, Kang H, Gong Y .
Generating a health information technology event database from FDA MAUDE reports.
Stud Health Technol Inform 2019 Aug 21;264:883-87. doi: 10.3233/shti190350..
Keywords: Health Information Technology (HIT), Medical Devices, Adverse Events, Data, Medical Errors, Patient Safety
Kang H, Yu Z, Gong Y
Initializing and growing a database of health information technology (HIT) events by using TF-IDF and biterm topic modeling.
Health information technology (HIT) events were listed in the top 10 technology-related hazards since one in six patient safety events (PSE) is related to HIT. Aiming to retrieve HIT events from millions of event reports related to medical devices in FDA Manufacturer and User Facility Device Experience (MAUDE) database, the study authors proposed a novel identification strategy. Their strategy holds promise of initializing and growing an HIT database to meet the challenges of collecting, analyzing, sharing, and learning from HIT events at an aggregated level.
AHRQ-funded; HS022895.
Citation: Kang H, Yu Z, Gong Y .
Initializing and growing a database of health information technology (HIT) events by using TF-IDF and biterm topic modeling.
AMIA Annu Symp Proc 2017 Apr 16;2017:1024-33..
Keywords: Adverse Events, Health Information Technology (HIT), Medical Devices, Health Information Technology (HIT), Patient Safety
Kang H, Wang F, Zhou S
Identifying and synchronizing health information technology (HIT) events from FDA medical device reports.
Health information technology (HIT) events, a subtype of patient safety events, pose a major threat and barrier toward a safer healthcare system. The study authors proposed a strategy to identify and synchronize HIT events from the FDA Manufacturer and User Facility Device Experience (MAUDE) database by using a filter based on structured features and classifiers based on unstructured features. The strategy will help develop and grow an HIT event-exclusive database, keeping pace with updates to MAUDE toward shared learning.
AHRQ-funded; HS022895.
Citation: Kang H, Wang F, Zhou S .
Identifying and synchronizing health information technology (HIT) events from FDA medical device reports.
Stud Health Technol Inform 2017;245:1048-52.
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Keywords: Adverse Events, Health Information Technology (HIT), Medical Devices, Health Information Technology (HIT), Patient Safety