National Healthcare Quality and Disparities Report
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Search All Research Studies
Topics
- Adverse Events (1)
- Data (1)
- (-) Electronic Health Records (EHRs) (3)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (2)
- Injuries and Wounds (1)
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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 DisplayedDevine EB, Van Eaton E, Zadworny ME
Automating electronic clinical data capture for quality improvement and research: The CERTAIN Validation Project of Real World Evidence.
Washington State's Surgical Care Outcomes and Assessment Program (SCOAP) is a network of hospitals participating in quality improvement (QI) registries wherein data are manually abstracted from EHRs. To create the Comparative Effectiveness Research and Translation Network (CERTAIN), researchers semi-automated SCOAP data abstraction using a centralized federated data model, created a central data repository (CDR), and assessed whether these data could be used as real world evidence for QI and research. They concluded that semi-automated data abstraction may be useful, although raw data collected as a byproduct of health care delivery is not immediately available for use as real world evidence. New approaches to gathering and analyzing extant data are required.
AHRQ-funded; HS020025.
Citation: Devine EB, Van Eaton E, Zadworny ME .
Automating electronic clinical data capture for quality improvement and research: The CERTAIN Validation Project of Real World Evidence.
eGEMS 2018 May 22;6(1):8. doi: 10.5334/egems.211..
Keywords: Patient-Centered Outcomes Research, Quality Improvement, Registries, Surgery, Electronic Health Records (EHRs)
Hu Z, Melton GB, Arsoniadis EG
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
Proper handling of missing data is important for many secondary uses of electronic health record (EHR) data. Data imputation methods can be used to handle missing data, but their use for postoperative complication detection is unclear. Overall, models with missing data imputation almost always outperformed reference models without imputation that included only cases with complete data for detection of SSI overall achieving very good average area under the curve values.
AHRQ-funded; HS024532.
Citation: Hu Z, Melton GB, Arsoniadis EG .
Strategies for handling missing clinical data for automated surgical site infection detection from the electronic health record.
J Biomed Inform 2017 Apr;68:112-20. doi: 10.1016/j.jbi.2017.03.009.
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Keywords: Data, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Registries, Surgery, Injuries and Wounds, Health Information Technology (HIT), Quality Improvement, Quality of Care, Adverse Events
Tonner C, Schmajuk G, Yazdany J
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
This article reviews the evolution of quality measurement in rheumatology, highlighting new health-information technology infrastructure and standards that are enabling unprecedented innovation in this field. Its authors assert that quality measurement and improvement is increasingly an essential component of rheumatology practice. Advances in health information technology are likely to continue to make implementation of electronic clinical quality measures (eCQMs) easier and measurement more clinically meaningful and accurate in coming years.
AHRQ-funded; HS024412.
Citation: Tonner C, Schmajuk G, Yazdany J .
A new era of quality measurement in rheumatology: electronic clinical quality measures and national registries.
Curr Opin Rheumatol 2017 Mar;29(2):131-37. doi: 10.1097/bor.0000000000000364.
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Keywords: Quality Measures, Registries, Electronic Health Records (EHRs), Health Information Technology (HIT), Quality Improvement