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psnet.ahrq.gov/sites/default/files/import/webmm.ahrq.gov.167_slideshow.ppt
January 01, 2008 - Spotlight Case [MONTH] 2003
Spotlight Case January 2008
How Do Providers Recover from Errors?
Source and Credits
This presentation is based on the January 2008 AHRQ WebM&M Spotlight Case
See the full article at http://webmm.ahrq.gov
CME credit is available
Commentary by: Colin P. West, MD, PhD, Mayo Clini…
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psnet.ahrq.gov/issue/machine-learning-evaluation-inequities-and-disparities-associated-nurse-sensitive-indicator
July 19, 2023 - Study
Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safety events.
Citation Text:
Georgantes ER, Gunturkun F, McGreevy TJ, et al. Machine learning evaluation of inequities and disparities associated with nurse sensitive indicator safe…
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psnet.ahrq.gov/issue/can-first-year-medical-students-acquire-quality-improvement-knowledge-prior-substantial
April 24, 2019 - Study
Can first-year medical students acquire quality improvement knowledge prior to substantial clinical exposure? A mixed-methods evaluation of a pre-clerkship curriculum that uses education as the context for learning.
Citation Text:
Brown A, Nidumolu A, Stanhope A, et al. Can first-y…
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psnet.ahrq.gov/issue/prevalence-severity-and-nature-preventable-patient-harm-across-medical-care-settings
February 17, 2021 - Study
Classic
Prevalence, severity, and nature of preventable patient harm across medical care settings: systematic review and meta-analysis.
Citation Text:
Panagioti M, Khan K, Keers RN, et al. Prevalence, severity, and nature of preventable patient harm across…
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psnet.ahrq.gov/issue/development-online-morbidity-mortality-and-near-miss-reporting-system-identify-patterns
August 20, 2018 - Study
Development of an online morbidity, mortality, and near-miss reporting system to identify patterns of adverse events in surgical patients.
Citation Text:
Bilimoria KY, Kmiecik TE, DaRosa DA, et al. Development of an online morbidity, mortality, and near-miss reporting system to ide…
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psnet.ahrq.gov/issue/reporting-and-using-near-miss-events-improve-patient-safety-diverse-primary-care-practices
June 22, 2011 - Study
Reporting and using near-miss events to improve patient safety in diverse primary care practices: a collaborative approach to learning from our mistakes.
Citation Text:
Crane S, Sloane PD, Elder NC, et al. Reporting and Using Near-miss Events to Improve Patient Safety in Diverse Pr…
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psnet.ahrq.gov/issue/strength-safety-measures-introduced-medical-practices-prevent-recurrence-patient-safety
May 01, 2024 - Study
Strength of safety measures introduced by medical practices to prevent a recurrence of patient safety incidents: an observational study.
Citation Text:
Müller BS, Lüttel D, Schütze D, et al. Strength of safety measures introduced by medical practices to prevent a recurrence of pati…
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psnet.ahrq.gov/issue/learning-during-crisis-impact-covid-19-hospital-acquired-pressure-injury-incidence
August 25, 2021 - Study
Learning during crisis: the impact of COVID-19 on hospital-acquired pressure injury incidence.
Citation Text:
Polancich S, Hall AG, Miltner RS, et al. Learning during crisis: the impact of COVID-19 on hospital-acquired pressure injury incidence. J Healthc Qual. 2021;43(3):137-144. …
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psnet.ahrq.gov/issue/learning-patients-experiences-related-diagnostic-errors-essential-progress-patient-safety
May 20, 2020 - Study
Emerging Classic
Learning from patients' experiences related to diagnostic errors is essential for progress in patient safety.
Citation Text:
Giardina TD, Haskell H, Menon S, et al. Learning From Patients' Experiences Related To Diagnostic Errors Is Essent…
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psnet.ahrq.gov/issue/unmasking-bias-artificial-intelligence-systematic-review-bias-detection-and-mitigation
March 24, 2019 - Review
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models.
Citation Text:
Chen F, Wang L, Hong J, et al. Unmasking bias in artificial intelligence: a systematic review of bias detection and m…
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psnet.ahrq.gov/issue/evaluation-symptom-checkers-self-diagnosis-and-triage-audit-study
December 08, 2021 - Study
Classic
Evaluation of symptom checkers for self diagnosis and triage: audit study.
Citation Text:
Semigran HL, Linder JA, Gidengil C, et al. Evaluation of symptom checkers for self diagnosis and triage: audit study. BMJ. 2015;351:h3480. doi:10.1136/bmj.h34…
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psnet.ahrq.gov/issue/descriptive-analysis-patient-misidentification-incident-report-system-data-large-academic
August 24, 2022 - Study
Descriptive analysis of patient misidentification from incident report system data in a large academic hospital federation.
Citation Text:
Abraham P, Augey L, Duclos A, et al. Descriptive analysis of patient misidentification from incident report system data in a large academic hos…
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psnet.ahrq.gov/issue/what-can-we-learn-depth-analysis-human-errors-resulting-diagnostic-errors-emergency
June 08, 2022 - Study
What can we learn from in-depth analysis of human errors resulting in diagnostic errors in the emergency department: an analysis of serious adverse event reports.
Citation Text:
Baartmans MC, Hooftman J, Zwaan L, et al. What can we learn from in-depth analysis of human errors resul…
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psnet.ahrq.gov/issue/healthcare-associated-adverse-events-alternate-level-care-patients-awaiting-long-term-care
March 17, 2021 - Study
Healthcare-associated adverse events in alternate level of care patients awaiting long-term care in hospital.
Citation Text:
Lim Fat GJ, Gopaul A, Pananos AD, et al. Healthcare-associated adverse events in alternate level of care patients awaiting long-term care in hospital. Geriat…
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psnet.ahrq.gov/issue/qualitative-exploration-mental-health-service-user-and-carer-perspectives-safety-issues-uk
March 31, 2021 - Study
A qualitative exploration of mental health service user and carer perspectives on safety issues in UK mental health services.
Citation Text:
Berzins K, Baker J, Louch G, et al. A qualitative exploration of mental health service user and carer perspectives on safety issues in UK men…
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psnet.ahrq.gov/issue/impact-full-personal-protective-equipment-alertness-healthcare-workers-prospective-study
August 24, 2022 - Study
Impact of full personal protective equipment on alertness of healthcare workers: a prospective study.
Citation Text:
Wells HJ, Raithatha M, Elhag S, et al. Impact of full personal protective equipment on alertness of healthcare workers: a prospective study. BMJ Open Qual. 2022;11(1…
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psnet.ahrq.gov/issue/defining-diagnostic-error-scoping-review-assess-impact-national-academies-report-improving
March 03, 2021 - Review
Defining diagnostic error: a scoping review to assess the impact of the National Academies' report Improving Diagnosis in Health Care.
Citation Text:
Giardina TD, Hunte H, Hill MA, et al. Defining diagnostic error: a scoping review to assess the impact of the National Academies' r…
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psnet.ahrq.gov/issue/support-healthcare-professionals-after-surgical-patient-safety-incidents-qualitative
June 15, 2022 - Study
Support for healthcare professionals after surgical patient safety incidents: a qualitative descriptive study in 5 teaching hospitals.
Citation Text:
Serou N, Husband AK, Forrest SP, et al. Support for healthcare professionals after surgical patient safety incidents: a qualitative …
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psnet.ahrq.gov/issue/exploring-factors-promote-or-diminish-psychologically-safe-environment-qualitative-interview
September 01, 2021 - Study
Exploring the factors that promote or diminish a psychologically safe environment: a qualitative interview study with critical care staff.
Citation Text:
Grailey K, Leon-Villapalos C, Murray E, et al. Exploring the factors that promote or diminish a psychologically safe environment…
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psnet.ahrq.gov/issue/early-diagnosis-cancer-systems-approach-support-clinicians-primary-care
December 14, 2022 - Commentary
Early diagnosis of cancer: systems approach to support clinicians in primary care.
Citation Text:
Black GB, Lyratzopoulos G, Vincent CA, et al. Early diagnosis of cancer: systems approach to support clinicians in primary care. BMJ. 2023;380:e071225. doi:10.1136/bmj-2022-071225…