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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 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
Zhu Y, Chen CY, Matsuyama Y
Comparative validity of methods to select appropriate cutoff weight for probabilistic linkage without unique personal identifiers.
The researchers aimed to assess the validity of probabilistic linkage in the absence of unique personal identifiers (UPI) and the methods of cutoff weight selection. They found that probabilistic linkage without UPI generated valid linkages when an optimal cutoff was chosen and concluded that histogram inspection, the duplicate method, and the odds formula method can be used in conjunction when a gold standard is not available.
AHRQ-funded; 29020050016I.
Citation: Zhu Y, Chen CY, Matsuyama Y .
Comparative validity of methods to select appropriate cutoff weight for probabilistic linkage without unique personal identifiers.
Pharmacoepidemiol Drug Saf 2016 Apr;25(4):444-52. doi: 10.1002/pds.3832.
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Keywords: Data, Medical Devices, Registries
Setoguchi S, Zhu Y, Jalbert JJ
Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.
The researchers compared the validity of several deterministic record linkage methods with multiple indirect identifiers by using data from the Centers for Medicare and Medicaid Services (CMS) implantable cardioverter-defibrillator (ICD) registry and administrative Medicare inpatient claims data. Linkage rules using 2 or 3 indirect, patient-level identifiers and hospital ID produced linkages with sensitivity of 95% and specificity of 98% compared with a gold standard linkage rule.
AHRQ-funded; 29020050016I; HS017731.
Citation: Setoguchi S, Zhu Y, Jalbert JJ .
Validity of deterministic record linkage using multiple indirect personal identifiers: linking a large registry to claims data.
Circ Cardiovasc Qual Outcomes 2014 May;7(3):475-80. doi: 10.1161/circoutcomes.113.000294..
Keywords: Medical Devices, Medicare, Registries, Data, Inpatient Care