National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Data (1)
- Electronic Health Records (EHRs) (3)
- Healthcare-Associated Infections (HAIs) (1)
- (-) Health Information Technology (HIT) (3)
- Injuries and Wounds (1)
- Neurological Disorders (1)
- Quality Improvement (2)
- (-) Quality of Care (3)
- Registries (1)
- Surgery (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 DisplayedYen PY, McAlearney AS, Sieck CJ
Health information technology (HIT) adaptation: refocusing on the journey to successful HIT implementation.
Measures commonly used to evaluate the success of HIT implementation, such as HIT adoption, technology acceptance, and clinical quality, fail to account for complex sociotechnical variability across contexts and the different trajectories within organizations because of different implementation plans and timelines. The authors propose a new focus, HIT adaptation, to illuminate factors that facilitate or hinder the connection between use of the EHR and improved quality of care.
AHRQ-funded; HS024767.
Citation: Yen PY, McAlearney AS, Sieck CJ .
Health information technology (HIT) adaptation: refocusing on the journey to successful HIT implementation.
JMIR Med Inform 2017 Sep 7;5(3):e28. doi: 10.2196/medinform.7476.
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Keywords: Electronic Health Records (EHRs), Quality of Care, Health Information Technology (HIT)
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
Narayanan J, Dobrin S, Choi J
Structured clinical documentation in the electronic medical record to improve quality and to support practice-based research in epilepsy.
The researchers describe a stepwise process for building structured clinical documentation support tools in the electronic medical record (EMR) that define best practices in epilepsy, and describe how they incorporated these toolkits into their clinical workflow. These tools write notes and capture hundreds of fields of data including several score tests. They also summarize brain imaging, blood laboratory, and electroencephalography results, and document neuromodulation treatments.
AHRQ-funded; HS024057.
Citation: Narayanan J, Dobrin S, Choi J .
Structured clinical documentation in the electronic medical record to improve quality and to support practice-based research in epilepsy.
Epilepsia 2017 Jan;58(1):68-76. doi: 10.1111/epi.13607.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Neurological Disorders, Quality of Care, Quality Improvement, Tools & Toolkits, Workflow