National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Ambulatory Care and Surgery (2)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (1)
- Clostridium difficile Infections (1)
- (-) Electronic Health Records (EHRs) (5)
- (-) Healthcare-Associated Infections (HAIs) (5)
- Health Information Technology (HIT) (4)
- Injuries and Wounds (2)
- Patient-Centered Outcomes Research (1)
- Patient Safety (4)
- Risk (2)
- Surgery (3)
- Urinary Tract Infection (UTI) (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 5 of 5 Research Studies DisplayedColborn KL, Bronsert M, Amioka E
Identification of surgical site infections using electronic health record data.
The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from electronic health record data and outcomes from the American College of Surgeons National Surgical Quality Improvement Program to supplement manual chart review. The investigators concluded that they identified a model that accurately identified SSIs. They indicated that the framework presented can be easily implemented by other American College of Surgeons National Surgical Quality Improvement Program-participating hospitals to develop models for enhancing surveillance of SSIs.
AHRQ-funded; HS026019.
Citation: Colborn KL, Bronsert M, Amioka E .
Identification of surgical site infections using electronic health record data.
Am J Infect Control 2018 Nov;46(11):1230-35. doi: 10.1016/j.ajic.2018.05.011..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Injuries and Wounds, Patient Safety, Surgery
Karavite DJ, Miller MW, Ramos MJ
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Surveillance for surgical site infections (SSIs) after ambulatory surgery in children requires a detailed manual chart review to assess criteria defined by the National Health and Safety Network. Electronic health records (EHRs) impose an inefficient search process. Using text mining and business intelligence software, the authors developed an information foraging application, the SSI Workbench, to visually present which postsurgical encounters included SSI-related terms and synonyms, antibiotic, and culture orders. This study compares the Workbench and EHR.
AHRQ-funded; HS020921.
Citation: Karavite DJ, Miller MW, Ramos MJ .
User testing an information foraging tool for ambulatory surgical site infection surveillance.
Appl Clin Inform 2018 Oct;9(4):791-802. doi: 10.1055/s-0038-1675179..
Keywords: Surgery, Ambulatory Care and Surgery, Children/Adolescents, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient Safety
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,.
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
Harris AD, Sbarra AN, Leekha S
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
This study analyzed whether electronically available comorbid conditions are risk factors for Centers for Disease Control and Prevention (CDC)-defined, hospital-onset Clostridium difficile infection (CDI) after controlling for antibiotic and gastric acid suppression therapy use. It concluded that comorbid conditions are important risk factors for CDI.
AHRQ-funded; HS022291.
Citation: Harris AD, Sbarra AN, Leekha S .
Electronically available comorbid conditions for risk prediction of healthcare-associated Clostridium difficile infection.
Infect Control Hosp Epidemiol 2018 Mar;39(3):297-301. doi: 10.1017/ice.2018.10.
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Keywords: Clostridium difficile Infections, Electronic Health Records (EHRs), Healthcare-Associated Infections (HAIs), Patient Safety, Risk
Baillie CA, Epps M, Hanish A
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
The researchers evaluated the usability and effectiveness of a computerized clinical decision support (CDS) intervention aimed at reducing the duration of urinary tract catheterizations. They found that usability improved to 15% with the revised reminder. The catheter utilization ratio declined over the 3 time periods, as did CAUTIs per 1,000 patient-days. They concluded that the usability of the reminder was highly dependent on its user interface, with a homegrown version of the reminder resulting in higher impact than a stock reminder.
AHRQ-funded; HS016946.
Citation: Baillie CA, Epps M, Hanish A .
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
Infect Control Hosp Epidemiol 2014 Sep;35(9):1147-55. doi: 10.1086/677630.
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Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient-Centered Outcomes Research, Urinary Tract Infection (UTI)