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psnet.ahrq.gov/issue/evaluating-alert-fatigue-over-time-ehr-based-clinical-trial-alerts-findings-randomized
April 29, 2018 - Study
Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study.
Citation Text:
Embi P, Leonard AC. Evaluating alert fatigue over time to EHR-based clinical trial alerts: findings from a randomized controlled study. J Am Med Inform…
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psnet.ahrq.gov/issue/cluster-randomized-trial-two-implementation-strategies-deliver-audit-and-feedback-equipped
September 01, 2018 - Study
A cluster randomized trial of two implementation strategies to deliver audit and feedback in the EQUIPPED medication safety program.
Citation Text:
Vaughan CP, Burningham Z, Kelleher JL, et al. A cluster‐randomized trial of two implementation strategies to deliver audit and feedbac…
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psnet.ahrq.gov/issue/vital-signs-epidemiology-sepsis-prevalence-health-care-factors-and-opportunities-prevention
September 23, 2020 - Study
Vital signs: epidemiology of sepsis: prevalence of health care factors and opportunities for prevention.
Citation Text:
Novosad SA, Sapiano MRP, Grigg C, et al. Vital Signs: Epidemiology of Sepsis: Prevalence of Health Care Factors and Opportunities for Prevention. MMWR Morb Mortal…
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psnet.ahrq.gov/issue/impact-covid-19-workflow-changes-radiation-oncology-incident-reporting
June 30, 2021 - Study
The impact of COVID-19 workflow changes on radiation oncology incident reporting.
Citation Text:
Volpini ME, Lekx‐Toniolo K, Mahon R, et al. The impact of COVID‐19 workflow changes on radiation oncology incident reporting. J Appl Clin Med Phys. 2022;23(11):e13742. doi:10.1002/acm2.…
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psnet.ahrq.gov/issue/enhancing-patient-safety-prehospital-environment-analyzing-patient-perspectives-non-transport
September 20, 2017 - Study
Enhancing patient safety in prehospital environment: analyzing patient perspectives on non-transport decisions with natural language processing and machine learning.
Citation Text:
Farhat H, Alinier G, Tluli R, et al. Enhancing patient safety in prehospital environment: analyzing p…
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psnet.ahrq.gov/issue/investigating-racial-and-ethnic-disparities-maternal-care-system-level-using-patient-safety
March 29, 2023 - Study
Investigating racial and ethnic disparities in maternal care at the system level using patient safety incident reports.
Citation Text:
Alfred MC, Wilson D, DeForest E, et al. Investigating racial and ethnic disparities in maternal care at the system level using patient safety incid…
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psnet.ahrq.gov/issue/does-suggested-diagnosis-general-practitioners-referral-question-impact-diagnostic-reasoning
September 14, 2022 - Study
Does a suggested diagnosis in a general practitioners' referral question impact diagnostic reasoning: an experimental study.
Citation Text:
Staal J, Speelman M, Brand R, et al. Does a suggested diagnosis in a general practitioners’ referral question impact diagnostic reasoning: an …
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psnet.ahrq.gov/issue/twelve-month-review-infusion-pump-near-miss-medication-and-dose-selection-errors-and-user
November 04, 2020 - Study
Twelve-month review of infusion pump near-miss medication and dose selection errors and user-initiated "good save" corrections: retrospective study.
Citation Text:
Waterson J, Al-Jaber R, Kassab T, et al. Twelve-month review of infusion pump near-miss medication and dose selection …
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psnet.ahrq.gov/issue/green-cross-method-postanaesthesia-care-unit-qualitative-study-healthcare-professionals
September 04, 2024 - Study
Green Cross method in a postanaesthesia care unit: a qualitative study of the healthcare professionals' experiences after 3 years, including the COVID-19 pandemic period.
Citation Text:
Birkeli GH, Ballangrud R, Jacobsen HK, et al. Green Cross method in a postanaesthesia care unit:…
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psnet.ahrq.gov/issue/fda-alerts-patients-and-health-care-professionals-epipen-auto-injector-errors-related-device
April 07, 2019 - Press Release/Announcement
FDA alerts patients and health care professionals of EpiPen auto-injector errors related to device malfunctions and user administration.
Citation Text:
FDA alerts patients and health care professionals of EpiPen auto-injector errors related to device malfunctio…
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psnet.ahrq.gov/issue/international-evaluation-ai-system-breast-cancer-screening
June 14, 2019 - Study
Classic
International evaluation of an AI system for breast cancer screening.
Citation Text:
McKinney SM, Sieniek M, Godbole V, et al. International evaluation of an AI system for breast cancer screening. Nature. 2020;577(7788):89-94. doi:10.1038/s41586-01…
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psnet.ahrq.gov/issue/failure-follow-test-results-ambulatory-patients-systematic-review
March 23, 2012 - Review
Classic
Failure to follow-up test results for ambulatory patients: a systematic review.
Citation Text:
Callen JL, Westbrook JI, Georgiou A, et al. Failure to Follow-Up Test Results for Ambulatory Patients: A Systematic Review. J Gen Intern Med. 2011;27(10…
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psnet.ahrq.gov/issue/patient-safety-and-sense-security-when-telemonitoring-chronic-conditions-home-views-patients
August 21, 2024 - Study
Patient safety and sense of security when telemonitoring chronic conditions at home: the views of patients and healthcare professionals - a qualitative study.
Citation Text:
Ekstedt M, Nordheim ES, Hellström A, et al. Patient safety and sense of security when telemonitoring chronic…
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psnet.ahrq.gov/issue/computerized-triggers-big-data-detect-delays-follow-chest-imaging-results
March 19, 2018 - Study
Computerized triggers of big data to detect delays in follow-up of chest imaging results.
Citation Text:
Murphy DR, Meyer AND, Bhise V, et al. Computerized Triggers of Big Data to Detect Delays in Follow-up of Chest Imaging Results. Chest. 2016;150(3):613-20. doi:10.1016/j.chest.20…
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psnet.ahrq.gov/issue/medication-errors-during-simulated-paediatric-resuscitations-prospective-observational-human
February 23, 2022 - Study
Medication errors during simulated paediatric resuscitations: a prospective, observational human reliability analysis.
Citation Text:
Appelbaum N, Clarke J, Feather C, et al. Medication errors during simulated paediatric resuscitations: a prospective, observational human reliabilit…
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psnet.ahrq.gov/issue/diagnostic-accuracy-physician-staffed-emergency-medical-teams-retrospective-observational
December 22, 2021 - Study
Diagnostic accuracy of physician-staffed emergency medical teams: a retrospective observational cohort study of prehospital versus hospital diagnosis in a 10-year interval.
Citation Text:
Schewe J-C, Kappler J, Dovermann K, et al. Diagnostic accuracy of physician-staffed emergency …
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psnet.ahrq.gov/issue/key-use-cases-artificial-intelligence-reduce-frequency-adverse-drug-events-scoping-review
May 20, 2020 - Review
Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review.
Citation Text:
Syrowatka A, Song W, Amato MG, et al. Key use cases for artificial intelligence to reduce the frequency of adverse drug events: a scoping review. Lancet Digit…
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psnet.ahrq.gov/issue/associations-between-double-checking-and-medication-administration-errors-direct
January 18, 2023 - Study
Associations between double-checking and medication administration errors: a direct observational study of paediatric inpatients.
Citation Text:
Westbrook JI, Li L, Raban MZ, et al. Associations between double-checking and medication administration errors: a direct observational st…
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psnet.ahrq.gov/issue/allocation-physician-time-ambulatory-practice-time-and-motion-study-four-specialties
August 26, 2020 - Study
Classic
Allocation of physician time in ambulatory practice: a time and motion study in four specialties.
Citation Text:
Sinsky CA, Colligan L, Li L, et al. Allocation of Physician Time in Ambulatory Practice: A Time and Motion Study in 4 Specialties. Ann …
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psnet.ahrq.gov/issue/timely-follow-abnormal-diagnostic-imaging-test-results-outpatient-setting-are-electronic
September 20, 2011 - Study
Classic
Timely follow-up of abnormal diagnostic imaging test results in an outpatient setting: are electronic medical records achieving their potential?
Citation Text:
Singh H, Thomas EJ, Mani S, et al. Timely follow-up of abnormal diagnostic imaging tes…