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Search All Research Studies
Topics
- Adverse Events (3)
- Ambulatory Care and Surgery (1)
- Clostridium difficile Infections (1)
- Communication (1)
- Diagnostic Safety and Quality (1)
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- (-) Electronic Health Records (EHRs) (9)
- Electronic Prescribing (E-Prescribing) (1)
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- Falls (1)
- Guidelines (1)
- Healthcare-Associated Infections (HAIs) (2)
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- (-) Patient Safety (9)
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- Provider (1)
- Provider: Clinician (1)
- (-) Risk (9)
- Surgery (2)
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 9 of 9 Research Studies DisplayedEnayati M, Sir M, Zhang X
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
This study’s objective will be to identify variables associated with diagnostic errors in emergency departments using large-scale EHR data and machine learning techniques. It will use trigger algorithms with electronic health record (EHR) data repositories to generate a large data set of records that are labeled trigger-positive or trigger-negative, depending on if they meet certain criteria. This study will be conducted by 2 academic medical centers with affiliated community hospitals.
AHRQ-funded; HS027363; HS026622.
Citation: Enayati M, Sir M, Zhang X .
Monitoring diagnostic safety risks in emergency departments: protocol for a machine learning study.
JMIR Res Protoc 2021 Jun 14;10(6):e24642. doi: 10.2196/24642..
Keywords: Emergency Department, Diagnostic Safety and Quality, Patient Safety, Risk, Electronic Health Records (EHRs), Health Information Technology (HIT)
Kandaswamy S, Pruitt Z, Kazi S
Clinician perceptions on the use of free-text communication orders.
The aim of this study was to investigate (1) why ordering clinicians use free-text orders to communicate medication information; (2) what risks physicians and nurses perceive when free-text orders are used for communicating medication information; and (3) how electronic health records (EHRs) could be improved to encourage the safe communication of medication information. The investigators concluded that clinicians' use of free-text orders as a workaround to insufficient structured order entry can create unintended patient safety risks.
AHRQ-funded; HS025136; HS024755.
Citation: Kandaswamy S, Pruitt Z, Kazi S .
Clinician perceptions on the use of free-text communication orders.
Appl Clin Inform 2021 May;12(3):484-94. doi: 10.1055/s-0041-1731002..
Keywords: Electronic Prescribing (E-Prescribing), Health Information Technology (HIT), Electronic Health Records (EHRs), Medication: Safety, Medication, Patient Safety, Communication, Provider: Clinician, Provider, Risk
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
Skube SJ, Lindemann EA, Arsoniadis EG
Characterizing functional health status of surgical patients in clinical notes.
The researchers of this study hypothesize that important functional status data is contained in clinical notes. They found that several categories of phrases related to functional status including diagnoses, activity and care assessments, physical exam, functional scores, assistive equipment, symptoms, and surgical history were important factors. They conducted a chart review and compared functional health status level terms from the chart review to National Surgical Quality Improvement Program determinations.
AHRQ-funded; HS024532.
Citation: Skube SJ, Lindemann EA, Arsoniadis EG .
Characterizing functional health status of surgical patients in clinical notes.
AMIA Jt Summits Transl Sci Proc 2018 May 18;2017:379-88..
Keywords: Health Status, Patient Safety, Risk, Surgery, Electronic Health Records (EHRs)
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
Rangachari P
Implementing a Social Knowledge Networking (SKN) system to enable meaningful use of an EHR medication reconciliation system.
The study examined user-engagement in the SKN system and associations between "SKN use" and "meaningful use" of electronic health record (EHR). The prospective implementation design is expected to generate context-sensitive strategies for meaningful use and successful implementation of EHR Medication Reconciliation (MedRec) and thereby make substantial contributions to the patient safety and risk management literature.
AHRQ-funded; HS024335.
Citation: Rangachari P .
Implementing a Social Knowledge Networking (SKN) system to enable meaningful use of an EHR medication reconciliation system.
Risk Manag Healthc Policy 2018 Mar 26;11:45-53. doi: 10.2147/rmhp.s152313.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Safety, Risk
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
Sittig DF, Singh H
Toward more proactive approaches to safety in the electronic health record era.
This article discusses a proactive approach to safety in the electronic health record era. It discusses an updated health IT Sentinel Event Alert, released in March 2015 by the Joint Commission which took a broad, sociotechnical approach in exploring the factors involved in the safe use of health IT.
AHRQ-funded; HS023602; HS022087.
Citation: Sittig DF, Singh H .
Toward more proactive approaches to safety in the electronic health record era.
Jt Comm J Qual Patient Saf 2017 Oct;43(10):540-47. doi: 10.1016/j.jcjq.2017.06.005..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety, Guidelines, Organizational Change, Risk