National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- (-) Adverse Events (3)
- Ambulatory Care and Surgery (1)
- Elderly (1)
- (-) Electronic Health Records (EHRs) (3)
- Emergency Department (1)
- Falls (1)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Technology (HIT) (2)
- Injuries and Wounds (1)
- Medical Errors (1)
- Patient Safety (3)
- Prevention (1)
- (-) Risk (3)
- Surgery (1)
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 DisplayedGrundmeier RW, Xiao R, Ross RK
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
The objective of this study was to prospectively derive and validate a prediction rule for detecting cases warranting investigation for surgical site infections (SSI) after ambulatory surgery. The investigators concluded that electronic health record data can facilitate SSI surveillance with adequate sensitivity and positive predictive value.
AHRQ-funded; HS020921.
Citation: Grundmeier RW, Xiao R, Ross RK .
Grundmeier RW, Xiao R, Ross RK, Ramos MJ, Karavite DJ, Michel JJ, Gerber JS, et al. Identifying surgical site infections in electronic health data using predictive models,.
J Am Med Inform Assoc 2018 Sep;25(9):1160-66. doi: 10.1093/jamia/ocy075..
Keywords: Healthcare-Associated Infections (HAIs), Injuries and Wounds, Surgery, Electronic Health Records (EHRs), Health Information Technology (HIT), Risk, Patient Safety, Adverse Events, Ambulatory Care and Surgery
Patterson BW, Repplinger MD, Pulia MS
Using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls after emergency department visits.
This study examined the utility of using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls in elderly patients after emergency department (ED) visits. Individuals aged 65 and older seen in the ED from January 2013 to September 30, 2015 participated in the study. The Hendrich II screen was found to correlate with outpatient falls, but it is likely it would have little utility as a stand-alone fall screen. When the screen was combined with other potential confounders or predictors, the screen performed much better.
AHRQ-funded; HS024558.
Citation: Patterson BW, Repplinger MD, Pulia MS .
Using the Hendrich II Inpatient Fall Risk Screen to predict outpatient falls after emergency department visits.
J Am Geriatr Soc 2018 Apr;66(4):760-65. doi: 10.1111/jgs.15299..
Keywords: Elderly, Falls, Risk, Emergency Department, Electronic Health Records (EHRs), Health Information Technology (HIT), Prevention, Patient Safety, Adverse Events
Howe JL, Adams KT, Hettinger AZ
Electronic health record usability issues and potential contribution to patient harm.
Researchers analyzed reports of possible patient harm that explicitly mentioned a major EHR vendor or product. They concluded that EHR usability may have been a contributing factor to some possible patient harm events. Only a small percentage of potential harm events were associated with EHR usability, but the analysis was conservative because safety reports only capture a small fraction of the actual number of safety incidents.
AHRQ-funded; HS023701.
Citation: Howe JL, Adams KT, Hettinger AZ .
Electronic health record usability issues and potential contribution to patient harm.
JAMA 2018 Mar 27;319(12):1276-78. doi: 10.1001/jama.2018.1171.
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Keywords: Adverse Events, Electronic Health Records (EHRs), Medical Errors, Patient Safety, Risk