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  1. psnet.ahrq.gov/issue/impact-national-qi-programme-reducing-electronic-health-record-notifications-clinicians
    February 24, 2021 - Study Classic Impact of a national QI programme on reducing electronic health record notifications to clinicians. Citation Text: Shah T, Patel-Teague S, Kroupa L, et al. Impact of a national QI programme on reducing electronic health record notifications to clin…
  2. psnet.ahrq.gov/issue/preventable-adverse-drug-events-descriptive-epidemiology
    October 17, 2012 - Study Preventable adverse drug events: descriptive epidemiology. Citation Text: Woo SA, Cragg A, Wickham ME, et al. Preventable adverse drug events: Descriptive epidemiology. Br J Clin Pharmacol. 2020;86(2):291-302. doi:10.1111/bcp.14139. Copy Citation Format: DOI Google Sc…
  3. psnet.ahrq.gov/issue/longitudinal-evaluation-pediatric-rapid-response-system-realist-evaluation-framework
    July 20, 2022 - Study Longitudinal evaluation of a pediatric rapid response system with realist evaluation framework. Citation Text: Acorda DE, Bracken J, Abela K, et al. Longitudinal evaluation of a pediatric rapid response system with realist evaluation framework. Jt Comm J Qual Patient Saf. 2022;48(4…
  4. psnet.ahrq.gov/issue/national-surveillance-emergency-department-visits-outpatient-adverse-drug-events
    February 27, 2009 - Study Classic National surveillance of emergency department visits for outpatient adverse drug events. Citation Text: Budnitz DS, Pollock DA, Weidenbach KN, et al. National surveillance of emergency department visits for outpatient adverse drug events. JAMA. 200…
  5. psnet.ahrq.gov/issue/improving-admission-medication-reconciliation-pharmacists-or-pharmacy-technicians-emergency
    May 08, 2017 - Study Improving admission medication reconciliation with pharmacists or pharmacy technicians in the emergency department: a randomised controlled trial. Citation Text: Pevnick JM, Nguyen C, Jackevicius CA, et al. Improving admission medication reconciliation with pharmacists or pharmacy …
  6. psnet.ahrq.gov/issue/using-who-international-classification-patient-safety-framework-identify-incident
    January 15, 2020 - Journal Article Using the WHO International Classification of patient safety framework to identify incident characteristics and contributing factors for medical or surgical complication deaths Citation Text: Mitchell R, Faris M, Lystad R, et al. Using the WHO International Classification…
  7. psnet.ahrq.gov/issue/interprofessional-handover-and-patient-safety-anaesthesia-observational-study-handovers
    April 18, 2011 - Study Interprofessional handover and patient safety in anaesthesia: observational study of handovers in the recovery room. Citation Text: Smith AF, Pope C, Goodwin D, et al. Interprofessional handover and patient safety in anaesthesia: observational study of handovers in the recovery r…
  8. psnet.ahrq.gov/issue/what-attributes-patients-affect-their-involvement-safety-key-opinion-leaders-perspective
    June 02, 2010 - Study What attributes of patients affect their involvement in safety? A key opinion leaders' perspective. Citation Text: Buetow S, Davis R, Callaghan K, et al. What attributes of patients affect their involvement in safety? A key opinion leaders' perspective. BMJ Open. 2013;3(8):e003104.…
  9. psnet.ahrq.gov/issue/creation-root-cause-analysis-and-action-rca2-standard-work-multidisciplinary-team-prevent
    October 19, 2022 - Study Creation of root cause analysis and action (RCA2) standard work by a multidisciplinary team to prevent harm, reduce bias, and improve safety culture. Citation Text: Musheno D, Harnish M, Roberts J, et al. Creation of root cause analysis and action (RCA2) standard work by a multidis…
  10. www.ahrq.gov/ncepcr/reports/2024-annual-report/index.html
    July 01, 2025 - Investments in Primary Care Research for 2021 and 2022 Next Page Table of Contents Investments in Primary Care Research for 2021 and 2022 Acknowledgments and Authors Message from the Acting Director of AHRQ's National Center for Excellence in Primary Care Research About This Report 1. Backgrou…
  11. psnet.ahrq.gov/issue/understanding-factors-influencing-implementation-new-national-patient-safety-policy-england
    August 18, 2021 - Study Understanding the factors influencing implementation of a new national patient safety policy in England: lessons from 'Learning from Deaths'. Citation Text: Lalani M, Morgan S, Basu A, et al. Understanding the factors influencing implementation of a new national patient safety pol…
  12. psnet.ahrq.gov/issue/combined-proactive-risk-assessment-unifying-proactive-and-reactive-risk-assessment-techniques
    May 11, 2022 - Study Combined proactive risk assessment: unifying proactive and reactive risk assessment techniques in health care. Citation Text: Bender JA, Kulju S, Soncrant C. Combined proactive risk assessment: unifying proactive and reactive risk assessment techniques in health care. Jt Comm J Qua…
  13. psnet.ahrq.gov/issue/potential-biases-machine-learning-algorithms-using-electronic-health-record-data
    June 12, 2019 - Commentary Classic Potential biases in machine learning algorithms using electronic health record data. Citation Text: Gianfrancesco MA, Tamang S, Yazdany J, et al. Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data. JAMA Intern …
  14. psnet.ahrq.gov/issue/uncovering-risks-anticancer-therapy-through-incident-report-analysis-using-newly-developed
    January 29, 2018 - Study Uncovering the risks of anticancer therapy through incident report analysis using a newly developed medical oncology incident taxonomy. Citation Text: Jacobson JO, Zerillo JA, Doolin J, et al. Uncovering the risks of anticancer therapy through incident report analysis using a newly…
  15. psnet.ahrq.gov/issue/review-computerized-physician-handoff-tools-improving-quality-patient-care
    September 07, 2011 - Review Review of computerized physician handoff tools for improving the quality of patient care. Citation Text: Li P, Ali S, Tang C, et al. Review of computerized physician handoff tools for improving the quality of patient care. J Hosp Med. 2013;8(8):456-63. doi:10.1002/jhm.1988. C…
  16. psnet.ahrq.gov/issue/when-order-sets-do-not-align-clinician-workflow-assessing-practice-patterns-electronic-health
    March 24, 2019 - Study When order sets do not align with clinician workflow: assessing practice patterns in the electronic health record. Citation Text: Li RC, Wang JK, Sharp C, et al. When order sets do not align with clinician workflow: assessing practice patterns in the electronic health record. BMJ Q…
  17. psnet.ahrq.gov/issue/unintended-effects-computerized-physician-order-entry-nearly-hard-stop-alert-prevent-drug
    February 18, 2011 - Study Classic Unintended effects of a computerized physician order entry nearly hard-stop alert to prevent a drug interaction: a randomized controlled trial. Citation Text: Strom BL, Schinnar R, Aberra F, et al. Unintended effects of a computerized physician ord…
  18. psnet.ahrq.gov/issue/why-learning-patient-safety-incidents-still-so-hard-sociocultural-perspective-learning
    June 29, 2011 - Study Why is learning from patient safety incidents (still) so hard? A sociocultural perspective on learning from incidents in healthcare organizations. Citation Text: Rowland P, Lan MF, Wan C, et al. Why is learning from patient safety incidents (still) so hard? A sociocultural perspect…
  19. digital.ahrq.gov/ahrq-funded-projects/peer-plus-client-centered-digital-intervention-addressing-needs-individuals
    April 01, 2023 - Peer PLUS: A Client-Centered Digital Intervention for Addressing the Needs of Individuals with Substance Use Disorder Project Description The use of the Peer PLUS (People Leveraging Urgent Support) platform is expected to enhance the connection between those with substance use …
  20. psnet.ahrq.gov/issue/comparison-methods-reduce-bias-clinical-prediction-models-postpartum-depression
    April 15, 2020 - Study Comparison of methods to reduce bias from clinical prediction models of postpartum depression. Citation Text: Park Y, Hu J, Singh M, et al. Comparison of methods to reduce bias from clinical prediction models of postpartum depression. JAMA Netw Open. 2021;4(4):e213909. doi:10.1001/…