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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 7 of 7 Research Studies DisplayedSimon KC, Tideman S, Hillman L
Design and implementation of pragmatic clinical trials using the electronic medical record and an adaptive design.
The purpose of this study was to demonstrate the feasibility of pragmatic clinical trials comparing the effectiveness of treatments using the electronic medical record (EMR) and an adaptive assignment design. The authors suggest that the demonstration of successful pragmatic clinical trials based on a customized EMR and adaptive design is an important next step in achieving personalized medicine and provides a framework for future studies of comparative effectiveness.
AHRQ-funded; HS024057.
Citation: Simon KC, Tideman S, Hillman L .
Design and implementation of pragmatic clinical trials using the electronic medical record and an adaptive design.
JAMIA Open 2018 Jul;1(1):99-106. doi: 10.1093/jamiaopen/ooy017..
Keywords: Comparative Effectiveness, Electronic Health Records (EHRs), Health Information Technology (HIT), Research Methodologies, System Design
Hoffman SR, Vines AI, Halladay JR
Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
The objective of the study was to develop an electronic health record-based algorithm to identify women with symptomatic uterine fibroids for a comparative effectiveness study of medical or surgical treatments on quality-of-life measures. The study concluded that an electronic health record-based algorithm is capable of identifying cases of symptomatic uterine fibroids with moderate positive predictive value and may be an efficient approach for large-scale study recruitment.
AHRQ-funded; HS023418.
Citation: Hoffman SR, Vines AI, Halladay JR .
Optimizing research in symptomatic uterine fibroids with development of a computable phenotype for use with electronic health records.
Am J Obstet Gynecol 2018 Jun;218(6):610.e1-10.e7. doi: 10.1016/j.ajog.2018.02.002..
Keywords: Comparative Effectiveness, Electronic Health Records (EHRs), Research Methodologies, Women
Ong TC, Kahn MG, Kwan BM
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
The researchers designed and implemented a health data transformation and loading approach, which we refer to as Dynamic ETL (Extraction, Transformation and Loading) (D-ETL), that automates part of the process through use of scalable, reusable and customizable code. Their results showed that ETL rule composition methods and the D-ETL engine offer a scalable solution for health data transformation via automatic query generation to harmonize source datasets.
AHRQ-funded; HS019908; HS022956.
Citation: Ong TC, Kahn MG, Kwan BM .
Dynamic-ETL: a hybrid approach for health data extraction, transformation and loading.
BMC Med Inform Decis Mak 2017 Sep 13;17(1):134. doi: 10.1186/s12911-017-0532-3.
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Keywords: Comparative Effectiveness, Data, Electronic Health Records (EHRs), Health Information Technology (HIT), Patient-Centered Outcomes Research
Jensen RE, Snyder CF, Basch E
All together now: findings from a PCORI workshop to align patient-reported outcomes in the electronic health record.
The goal of this paper was to report key findings from a 2013 Patient-Centered Outcomes Research Institute workshop on patient-reported outcomes, to report a summary of actions that followed from the workshop, and to present resulting recommendations that address patient, clinical and research/quality improvement barriers to regular use.
AHRQ-funded; HS000029.
Citation: Jensen RE, Snyder CF, Basch E .
All together now: findings from a PCORI workshop to align patient-reported outcomes in the electronic health record.
J Comp Eff Res 2016 Nov;5(6):561-67. doi: 10.2217/cer-2016-0026.
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Keywords: Comparative Effectiveness, Electronic Health Records (EHRs), Evidence-Based Practice, Patient-Centered Outcomes Research, Quality Improvement
Marsolo 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)
Sittig DF, Murphy DR, Smith MW
Graphical display of diagnostic test results in electronic health records: a comparison of 8 systems.
In an attempt to understand how well current electronic health records (EHRs) facilitate accurate display and interpretation of clinical laboratory test results, the researchers evaluated the graphical displays of laboratory test results in 8 EHRs using objective criteria for optimal graphs. None of the EHRs met all 11 criteria.
AHRQ-funded; HS022087
Citation: Sittig DF, Murphy DR, Smith MW .
Graphical display of diagnostic test results in electronic health records: a comparison of 8 systems.
J Am Med Inform Assoc. 2015 Jul;22(4):900-4. doi: 10.1093/jamia/ocv013..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Comparative Effectiveness
Zurovac J, Moreno L, Crosson J
Using multifactorial experiments for comparative effectiveness research in physician practices with electronic health record.
This paper identifies the opportunities for using efficient multifactorial designs and electronic health records (EHR) data to evaluate quality-improvement efforts in physician practices. It concludes that the use of efficient multifactor experimental designs, especially coupled with EHR data, has great promise for helping physician practices, hospitals, and other stakeholders conduct rapid-cycle comparative effectiveness research in order to assess alternative ways of implementing various aspects of care.
AHRQ-funded; HS022789.
Citation: Zurovac J, Moreno L, Crosson J .
Using multifactorial experiments for comparative effectiveness research in physician practices with electronic health record.
eGEMS 2013 Dec 30;1(3):1037. doi: 10.13063/2327-9214.1037..
Keywords: Patient-Centered Outcomes Research, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement, Comparative Effectiveness