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Showing results for "assessing".

  1. Artificial intelligence related safety issues associated with FDA medical device reports. | PSNet

    psnet.ahrq.gov/issue/artificial-intelligence-related-safety-issues-associated-fda-medical-device-reports
    May 29, 2024 - Study Artificial intelligence related safety issues associated with FDA medical device reports. Citation Text: Handley JL, Krevat SA, Fong A, et al. Artificial intelligence related safety issues associated with FDA medical device reports. NPJ Digit Med. 2024;7(1):351. doi:10.1038/s41746-…

  2. Use of patient complaints to identify diagnosis-related safety concerns: a mixed-method evaluation. | PSNet

    psnet.ahrq.gov/issue/use-patient-complaints-identify-diagnosis-related-safety-concerns-mixed-method-evaluation
    April 13, 2022 - Study Use of patient complaints to identify diagnosis-related safety concerns: a mixed-method evaluation. Citation Text: Giardina TD, Korukonda S, Shahid U, et al. Use of patient complaints to identify diagnosis-related safety concerns: a mixed-method evaluation. BMJ Qual Saf. 2021;30(12…

  3. The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research. | PSNet

    psnet.ahrq.gov/issue/safety-attitudes-questionnaire-psychometric-properties-benchmarking-data-and-emerging
    June 16, 2011 - Study Classic The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and emerging research. Citation Text: Sexton JB, Helmreich RL, Neilands TB, et al. The Safety Attitudes Questionnaire: psychometric properties, benchmarking data, and…

  4. Surveys on Patient Safety Culture (SOPS) Hospital Survey 2.0: User Database Report. | PSNet

    psnet.ahrq.gov/issue/surveys-patient-safety-culture-sops-hospital-survey-20-user-database-report
    December 18, 2024 - Book/Report Surveys on Patient Safety Culture (SOPS) Hospital Survey 2.0: User Database Report. Citation Text: Tyler ER, Yalden O, Fan L, et al. Surveys On Patient Safety Culture (Sops) Hospital Survey 2.0: User Database Report. Rockville, MD: Agency for Healthcare Research and Quality; …

  5. "ChatGPT, can you help me save my child's life?" - Diagnostic accuracy and supportive capabilities to lay rescuers by ChatGPT in prehospital basic life support and paediatric advanced life support cases - an in-silico analysis. | PSNet

    psnet.ahrq.gov/issue/chatgpt-can-you-help-me-save-my-childs-life-diagnostic-accuracy-and-supportive-capabilities
    February 01, 2023 - Study "ChatGPT, can you help me save my child's life?" - Diagnostic accuracy and supportive capabilities to lay rescuers by ChatGPT in prehospital basic life support and paediatric advanced life support cases - an in-silico analysis. Citation Text: Bushuven S, Bentele M, Bentele S, et al…

  6. The impact of technology on prescribing errors in pediatric intensive care: a before and after study. | PSNet

    psnet.ahrq.gov/issue/impact-technology-prescribing-errors-pediatric-intensive-care-and-after-study
    November 16, 2022 - Study The impact of technology on prescribing errors in pediatric intensive care: a before and after study. Citation Text: Howlett MM, Butler E, Lavelle KM, et al. The impact of technology on prescribing errors in pediatric intensive care: a before and after study. Appl Clin Inform. 2020…

  7. Medication errors in the home: a multisite study of children with cancer. | PSNet

    psnet.ahrq.gov/issue/medication-errors-home-multisite-study-children-cancer
    October 19, 2022 - Study Medication errors in the home: a multisite study of children with cancer. Citation Text: Walsh KE, Roblin DW, Weingart SN, et al. Medication errors in the home: a multisite study of children with cancer. Pediatrics. 2013;131(5):e1405-14. doi:10.1542/peds.2012-2434. Copy Citation…

  8. Not sick enough to worry? "Influenza-like" symptoms and work-related behavior among healthcare workers and other professionals: results of a global survey. | PSNet

    psnet.ahrq.gov/issue/not-sick-enough-worry-influenza-symptoms-and-work-related-behavior-among-healthcare-workers
    August 03, 2022 - Study Not sick enough to worry? "Influenza-like" symptoms and work-related behavior among healthcare workers and other professionals: results of a global survey. Citation Text: Tartari E, Saris K, Kenters N, et al. Not sick enough to worry? "Influenza-like" symptoms and work-related beha…

  9. Boosting medical diagnostics by pooling independent judgments. | PSNet

    psnet.ahrq.gov/issue/boosting-medical-diagnostics-pooling-independent-judgments
    June 21, 2016 - Study Boosting medical diagnostics by pooling independent judgments. Citation Text: Kurvers RHJM, Herzog SM, Hertwig R, et al. Boosting medical diagnostics by pooling independent judgments. Proc Natl Acad Sci U S A. 2016;113(31):8777-8782. doi:10.1073/pnas.1601827113. Copy Citation …

  10. Comparative accuracy of diagnosis by collective intelligence of multiple physicians vs individual physicians. | PSNet

    psnet.ahrq.gov/issue/comparative-accuracy-diagnosis-collective-intelligence-multiple-physicians-vs-individual
    January 23, 2017 - Study Emerging Classic Comparative accuracy of diagnosis by collective intelligence of multiple physicians vs individual physicians. Citation Text: Barnett ML, Boddupalli D, Nundy S, et al. Comparative Accuracy of Diagnosis by Collective Intelligence of Multiple…

  11. Safe but sound: patient safety meets evidence-based medicine. | PSNet

    psnet.ahrq.gov/issue/safe-sound-patient-safety-meets-evidence-based-medicine
    March 13, 2013 - Commentary Classic Safe but sound: patient safety meets evidence-based medicine. Citation Text: Shojania KG, Duncan BW, McDonald KM, et al. Safe but Sound. JAMA. 2003;288(4):508-513. doi:10.1001/jama.288.4.508. Copy Citation Format: DOI Google Sc…

  12. Artificial intelligence for identifying the prevention of medication incidents causing serious or moderate harm: an analysis using incident reporters' views. | PSNet

    psnet.ahrq.gov/issue/artificial-intelligence-identifying-prevention-medication-incidents-causing-serious-or
    March 11, 2020 - Study Artificial intelligence for identifying the prevention of medication incidents causing serious or moderate harm: an analysis using incident reporters' views. Citation Text: Härkänen M, Haatainen K, Vehviläinen-Julkunen K, et al. Artificial intelligence for identifying the preventio…

  13. Patterns in medication incidents: a 10-yr experience of a cross-national anaesthesia incident reporting system. | PSNet

    psnet.ahrq.gov/issue/patterns-medication-incidents-10-yr-experience-cross-national-anaesthesia-incident-reporting
    January 15, 2025 - Study Patterns in medication incidents: a 10-yr experience of a cross-national anaesthesia incident reporting system. Citation Text: Sanduende-Otero Y, Villalón-Coca J, Romero-García E, et al. Patterns in medication incidents: A 10-yr experience of a cross-national anaesthesia incident r…

  14. Explaining organisational responses to a board-level quality improvement intervention: findings from an evaluation in six providers in the English National Health Service. | PSNet

    psnet.ahrq.gov/issue/explaining-organisational-responses-board-level-quality-improvement-intervention-findings
    November 21, 2017 - Study Explaining organisational responses to a board-level quality improvement intervention: findings from an evaluation in six providers in the English National Health Service. Citation Text: Jones L, Pomeroy L, Robert G, et al. Explaining organisational responses to a board-level quali…

  15. Developing a process to measure actual harm from medication errors in paediatric inpatients: from design to implementation. | PSNet

    psnet.ahrq.gov/issue/developing-process-measure-actual-harm-medication-errors-paediatric-inpatients-design
    January 18, 2023 - Study Developing a process to measure actual harm from medication errors in paediatric inpatients: from design to implementation. Citation Text: Mumford V, Raban MZ, Li L, et al. Developing a process to measure actual harm from medication errors in paediatric inpatients: from design to i…

  16. Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: who reports what about whom? | PSNet

    psnet.ahrq.gov/issue/hospital-staff-reports-coworker-positive-and-unprofessional-behaviours-across-eight-hospitals
    May 01, 2024 - Study Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: who reports what about whom? Citation Text: Urwin R, Pavithra A, Mcmullan RD, et al. Hospital staff reports of coworker positive and unprofessional behaviours across eight hospitals: w…

  17. Changes in medical errors after implementation of a handoff program. | PSNet

    psnet.ahrq.gov/issue/changes-medical-errors-after-implementation-handoff-program
    April 24, 2018 - Study Classic Changes in medical errors after implementation of a handoff program. Citation Text: Starmer AJ, Spector ND, Srivastava R, et al. Changes in medical errors after implementation of a handoff program. New Engl J Med. 2014;371(19):1803-1812. doi:10.105…

  18. How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis. | PSNet

    psnet.ahrq.gov/issue/how-effective-are-electronic-medication-systems-reducing-medication-error-rates-and
    August 26, 2020 - Review Emerging Classic How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis. Citation Text: Gates PJ, Hardie R-A, Raban MZ, et al. How effective a…

  19. Implementing root cause analysis and action: integrating human factors to create strong interventions and reduce risk of patient harm. | PSNet

    psnet.ahrq.gov/issue/implementing-root-cause-analysis-and-action-integrating-human-factors-create-strong
    December 23, 2020 - Study Implementing root cause analysis and action: integrating human factors to create strong interventions and reduce risk of patient harm. Citation Text: Wolf L, Gorman K, Clark J, et al. Implementing root cause analysis and action: integrating human factors to create strong interventi…

  20. Using radiofrequency technology to prevent retained sponges and improve patient outcomes. | PSNet

    psnet.ahrq.gov/issue/using-radiofrequency-technology-prevent-retained-sponges-and-improve-patient-outcomes
    November 25, 2020 - Study Using radiofrequency technology to prevent retained sponges and improve patient outcomes. Citation Text: Primiano M, Sparks D, Murphy J, et al. Using radiofrequency technology to prevent retained sponges and improve patient outcomes. AORN J. 2020;112(4):345-352. doi:10.1002/aorn.13…
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