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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 5 of 5 Research Studies DisplayedGroeneveld PW, Rumsfeld JS
Can big data fulfill its promise?
This article discusses the pros and cons of using big data analytics in healthcare. The authors note that the rise of big data analytics in health care settings has promise. However, they assert that it is critical to recognize that the fundamental pitfalls of observational data analysis cannot be ignored, and in fact the risks of such pitfalls demand rigorous scientific testing and novel methods for peer review of big data analytic models.
AHRQ-funded; HS023615.
Citation: Groeneveld PW, Rumsfeld JS .
Can big data fulfill its promise?
Circ Cardiovasc Qual Outcomes 2016 Nov;9(6):679-82. doi: 10.1161/circoutcomes.116.003097..
Keywords: Data, Health Services Research (HSR)
Terza JV
Inference using sample means of parametric nonlinear data transformations.
AHRQ-funded; HS017434.
Citation: Terza JV .
Inference using sample means of parametric nonlinear data transformations.
Health Serv Res 2016 Jun;51(3):1109-13. doi: 10.1111/1475-6773.12494.
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Keywords: Research Methodologies, Health Services Research (HSR), Data
Kuehl DR, Berdahl CT, Jackson TD
Advancing the use of administrative data for emergency department diagnostic imaging research.
This article summarizes the discussions of the breakout session on the use of administrative data for emergency imaging research at the May 2015 Academic Emergency Medicine consensus conference, "Diagnostic Imaging in the Emergency Department: A Research Agenda to Optimize Utilization." The authors describe the areas where administrative data have been applied to research evaluating the use of diagnostic imaging in the ED, the common sources for these data, and the strengths and limitations of administrative data.
AHRQ-funded; HS023498.
Citation: Kuehl DR, Berdahl CT, Jackson TD .
Advancing the use of administrative data for emergency department diagnostic imaging research.
Acad Emerg Med 2015 Dec;22(12):1417-26. doi: 10.1111/acem.12827.
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Keywords: Data, Emergency Department, Health Services Research (HSR), Imaging
Neprash HT, Wallace J, Chernew ME
Measuring prices in health care markets using commercial claims data.
The objective of this study was to compare methods of price measurement in health care markets. It concluded that market-level price measures reflecting broad sets of services are likely to rank markets similarly. Price indices relying on individual sentinel services may be more appropriate for examining specialty- or service-specific drivers of prices.
AHRQ-funded; HS000055.
Citation: Neprash HT, Wallace J, Chernew ME .
Measuring prices in health care markets using commercial claims data.
Health Serv Res 2015 Dec;50(6):2037-47. doi: 10.1111/1475-6773.12304..
Keywords: Data, Healthcare Costs, Health Insurance, Health Services Research (HSR)
Zingmond DS, Parikh P, Louie R
Improving hospital reporting of patient race and ethnicity--approaches to data auditing.
This study investigated new metrics to improve the reporting of patient race and ethnicity (R/E) by hospitals. It examined agreement between hospital reported R/E versus self-report among mothers delivering babies and a cancer cohort in California. It concluded that comparison between reported R/E and R/E estimates using zip code level data may be a reasonable first approach to evaluate and track hospital R/E reporting.
AHRQ-funded; HS019963.
Citation: Zingmond DS, Parikh P, Louie R .
Improving hospital reporting of patient race and ethnicity--approaches to data auditing.
Health Serv Res 2015 Aug;50 Suppl 1:1372-89. doi: 10.1111/1475-6773.12324..
Keywords: Racial and Ethnic Minorities, Hospitals, Hospital Discharge, Health Services Research (HSR), Registries, Quality Improvement, Quality of Care, Data