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  1. psnet.ahrq.gov/issue/application-strong-matrix-management-and-pdca-cycle-management-severe-covid-19-patients
    March 24, 2019 - Commentary The application of strong matrix management and PDCA cycle in the management of severe COVID-19 patients. Citation Text: Li Y, Wang H, Jiao J. The application of strong matrix management and PDCA cycle in the management of severe COVID-19 patients. Crit Care. 2020;24(1):157. d…
  2. psnet.ahrq.gov/issue/suicide-and-suicide-attempts-hospital-grounds-and-clinic-areas
    October 29, 2017 - Study Suicide and suicide attempts on hospital grounds and clinic areas. Citation Text: Mills PD, Watts BV, Hemphill RR. Suicide and suicide attempts on hospital grounds and clinic areas. J Patient Saf. 2021;17(5):e423-e428. doi:10.1097/pts.0000000000000356. Copy Citation Format: …
  3. digital.ahrq.gov/ahrq-funded-projects/examining-feasibility-and-effectiveness-mhealth-solution-designed-enhance
    August 01, 2024 - Examining the Feasibility and Effectiveness of an mHealth Solution Designed to Enhance Clinical Outcomes Among Patients Attending Physical Therapy for Musculoskeletal Pain Project Description Improving patient engagement in physical therapy (PT) through remote therapeutic monit…
  4. psnet.ahrq.gov/issue/effects-efforts-optimise-morbidity-and-mortality-rounds-serve-contemporary-quality
    July 19, 2019 - Review Effects of efforts to optimise morbidity and mortality rounds to serve contemporary quality improvement and educational goals: a systematic review. Citation Text: Smaggus A, Mrkobrada M, Marson A, et al. Effects of efforts to optimise morbidity and mortality rounds to serve contem…
  5. psnet.ahrq.gov/issue/development-preliminary-patient-safety-classification-system-generative-ai
    December 21, 2022 - Study Development of a preliminary patient safety classification system for generative AI. Citation Text: Hose B-Z, Handley JL, Biro J, et al. Development of a preliminary patient safety classification system for generative AI. BMJ Qual Saf. 2025;34(2):130-132. doi:10.1136/bmjqs-2024-017…
  6. psnet.ahrq.gov/issue/good-bad-and-ugly-what-do-we-really-do-when-we-identify-best-and-worst-organisations
    August 20, 2018 - Commentary The good, the bad and the ugly: what do we really do when we identify the best and the worst organisations?. Citation Text: Abel GA, Agniel D, Elliott MN. The good, the bad and the ugly: what do we really do when we identify the best and the worst organisations? BMJ Qual Saf. …
  7. psnet.ahrq.gov/issue/which-adverse-events-and-which-drugs-are-implicated-drug-related-hospital-admissions
    August 11, 2021 - Review Which adverse events and which drugs are implicated in drug-related hospital admissions? A systematic review and meta-analysis. Citation Text: Haerdtlein A, Debold E, Rottenkolber M, et al. Which adverse events and which drugs are implicated in drug-related hospital admissions? A …
  8. psnet.ahrq.gov/issue/role-organizational-and-professional-cultures-medication-safety-scoping-review-literature
    February 12, 2020 - Review The role of organizational and professional cultures in medication safety: a scoping review of the literature. Citation Text: Machen S, Jani Y, Turner S, et al. The role of organizational and professional cultures in medication safety: a scoping review of the literature. Int J Hea…
  9. psnet.ahrq.gov/issue/leveraging-artificial-intelligence-reduce-diagnostic-errors-emergency-medicine-challenges
    May 29, 2019 - Commentary Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: challenges, opportunities, and future directions. Citation Text: Taylor RA, Sangal RB, Smith ME, et al. Leveraging artificial intelligence to reduce diagnostic errors in emergency medicine: c…
  10. psnet.ahrq.gov/issue/resident-duty-hours-enhancing-sleep-supervision-and-safety
    July 12, 2016 - Book/Report Classic Resident Duty Hours: Enhancing Sleep, Supervision, and Safety. Citation Text: Resident Duty Hours: Enhancing Sleep, Supervision, and Safety. Ulmer C, Wolman DM, Johns MME, eds. Committee on Optimizing Graduate Medical Trainee (Resident) Hours…
  11. psnet.ahrq.gov/issue/developing-and-evaluating-large-language-model-generated-emergency-medicine-handoff-notes
    March 12, 2025 - Study Developing and evaluating large language model-generated emergency medicine handoff notes. Citation Text: Hartman V, Zhang X, Poddar R, et al. Developing and evaluating large language model-generated emergency medicine handoff notes. JAMA Netw Open. 2024;7(12):e2448723. doi:10.1001…
  12. psnet.ahrq.gov/issue/veterans-health-administration-response-covid-19-crisis-surveillance-action
    November 17, 2021 - Commentary Veterans Health Administration response to the COVID-19 crisis: surveillance to action. Citation Text: Charles MA, Yackel EE, Mills PD, et al. Veterans Health Administration response to the COVID-19 crisis: surveillance to action. J Patient Saf. 2022;18(7):686-691. doi:10.1097…
  13. psnet.ahrq.gov/issue/can-patients-contribute-safer-care-meetings-healthcare-professionals-cross-sectional-survey
    November 22, 2017 - Study Can patients contribute to safer care in meetings with healthcare professionals? A cross-sectional survey of patient perceptions and beliefs. Citation Text: Ericsson C, Skagerström J, Schildmeijer K, et al. Can patients contribute to safer care in meetings with healthcare professio…
  14. psnet.ahrq.gov/issue/gpt-versus-resident-physicians-benchmark-based-official-board-scores
    November 03, 2021 - Study GPT versus resident physicians — a benchmark based on official board scores. Citation Text: Katz U, Cohen E, Shachar E, et al. GPT versus resident physicians — a benchmark based on official board scores. NEJM AI. 2024;1(5):5. doi:10.1056/aidbp2300192. Copy Citation Format: …
  15. psnet.ahrq.gov/issue/ergonomic-and-human-factors-affecting-anesthetic-vigilance-and-monitoring-performance
    May 31, 2011 - Review Classic Ergonomic and human factors affecting anesthetic vigilance and monitoring performance in the operating room environment. Citation Text: Biebuyck J F, Weinger M B, Englund C E. Ergonomic and Human Factors Affecting Anesthetic Vigilance and Monitori…
  16. psnet.ahrq.gov/issue/contraindicated-medication-use-dialysis-patients-undergoing-percutaneous-coronary
    February 03, 2011 - Study Contraindicated medication use in dialysis patients undergoing percutaneous coronary intervention. Citation Text: Tsai TT, Maddox TM, Roe MT, et al. Contraindicated medication use in dialysis patients undergoing percutaneous coronary intervention. JAMA. 2009;302(22):2458-64. doi:…
  17. psnet.ahrq.gov/issue/classification-patient-safety-incidents-primary-care
    October 12, 2016 - Review Emerging Classic Classification of patient-safety incidents in primary care. Citation Text: Cooper J, Williams H, Hibbert P, et al. Classification of patient-safety incidents in primary care. Bull World Health Organ. 2018;96(7):498-505. doi:10.2471/BLT.17…
  18. psnet.ahrq.gov/issue/must-we-bust-trust-understanding-how-clinician-patient-relationship-influences-patient
    January 11, 2023 - Study Must we bust the trust?: Understanding how the clinician–patient relationship influences patient engagement in safety. Citation Text: Mishra SR, Haldar S, Khelifi M, et al. Must we bust the trust?: Understanding how the clinician–patient relationship influences patient engagement i…
  19. psnet.ahrq.gov/issue/crisis-management-during-anaesthesia-development-anaesthetic-crisis-management-manual
    June 23, 2015 - Commentary Crisis management during anaesthesia: the development of an anaesthetic crisis management manual. Citation Text: Runciman WB, Kluger MT, Morris RW, et al. Crisis management during anaesthesia: the development of an anaesthetic crisis management manual. Qual Saf Health Care. …
  20. psnet.ahrq.gov/issue/examining-medication-ordering-errors-using-ahrq-network-patient-safety-databases
    November 30, 2022 - Study Examining medication ordering errors using AHRQ Network of Patient Safety Databases. Citation Text: Grauer A, Rosen A, Applebaum JR, et al. Examining medication ordering errors using AHRQ network of patient safety databases. J Am Med Inform Assoc. 2023;30(5):838-845. doi:10.1093/ja…