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 DisplayedLiang C, Gong Y
Automated classification of multi-labeled patient safety reports: a shift from quantity to quality measure.
The capacity for extracting useful information from patient safety reports remains limited. This study investigated the multi-labeled nature of patient safety reports as a key to disclose the complex relations between many components during the courses and development of medical errors. The authors developed automated multi-label text classifiers to process patient safety reports. The experiments demonstrated feasibility and efficiency of a combination of multi-label algorithms in the benchmark comparison.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Automated classification of multi-labeled patient safety reports: a shift from quantity to quality measure.
Stud Health Technol Inform 2017;245:1070-74..
Keywords: Adverse Events, Data, Patient Safety, Quality Measures
Burda BU, Holmer HK, Norris SL
Limitations of A Measurement Tool to Assess Systematic Reviews (AMSTAR) and suggestions for improvement.
A Measurement Tool to Assess Systematic Reviews (AMSTAR) is a commonly used tool to assess the quality of systematic reviews; however, modifications are needed to improve its usability, reliability, and validity. In this commentary, the authors summarize their experience and the experiences of others who have used AMSTAR and provide suggestions for its improvement.
AHRQ-funded; HS018500.
Citation: Burda BU, Holmer HK, Norris SL .
Limitations of A Measurement Tool to Assess Systematic Reviews (AMSTAR) and suggestions for improvement.
Syst Rev 2016 Apr 12;5:58. doi: 10.1186/s13643-016-0237-1.
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Keywords: Research Methodologies, Data, Evidence-Based Practice, Guidelines, Quality Measures