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Total Results: 987 records

Showing results for "sample".

  1. psnet.ahrq.gov/issue/challenges-and-opportunities-prevent-transfusion-errors-qualitative-evaluation-safer
    March 20, 2019 - Related Resources From the Same Author(s) Electronic patient identification for sample
  2. psnet.ahrq.gov/issue/new-technology-transfusion-safety
    September 09, 2020 - September 9, 2020 Electronic patient identification for sample labeling reduces wrong
  3. psnet.ahrq.gov/issue/improvement-approach-integrate-teaching-teams-reporting-safety-events
    September 23, 2020 - June 7, 2023 Electronic patient identification for sample labeling reduces wrong blood
  4. psnet.ahrq.gov/issue/please-reconcile-not-wait-while
    April 19, 2023 - March 1, 2023 Prevalence and severity of patient harm in a sample of UK-hospitalised
  5. psnet.ahrq.gov/issue/quantifying-discharge-medication-reconciliation-errors-2-pediatric-hospitals
    October 20, 2021 - July 28, 2021 Relationships between pediatric safety indicators across a national sample
  6. psnet.ahrq.gov/issue/patient-safety-checklist-cardiac-catheterisation-laboratory
    October 19, 2022 - September 29, 2011 WebM&M Cases Right Patient, Wrong Sample
  7. psnet.ahrq.gov/issue/interorganizational-complexity-and-organizational-accident-risk-literature-review
    June 02, 2021 - June 27, 2011 Impact of sample size on variation of adverse events and preventable adverse
  8. psnet.ahrq.gov/issue/lost-mislabeled-and-mishandled-surgical-and-clinical-pathology-specimens-systematic-review
    September 23, 2020 - September 22, 2021 Electronic patient identification for sample labeling reduces wrong
  9. psnet.ahrq.gov/issue/approach-assessing-patient-safety-hospitals-low-income-countries
    July 22, 2020 - February 25, 2015 An observational study of laterality errors in a sample of clinical
  10. psnet.ahrq.gov/issue/multiplicity-medication-safety-terms-definitions-and-functional-meanings-when-enough-enough
    November 16, 2022 - July 19, 2023 Electronic patient identification for sample labeling reduces wrong blood
  11. psnet.ahrq.gov/issue/perceived-disability-based-discrimination-health-care-children-medical-complexity
    November 16, 2022 - April 26, 2023 Electronic patient identification for sample labeling reduces wrong blood
  12. psnet.ahrq.gov/issue/revisiting-old-slides-how-worthwhile-it
    October 05, 2022 - View More Related Resources Electronic patient identification for sample
  13. psnet.ahrq.gov/issue/creating-physician-led-quality-imperative
    March 20, 2019 - Related Resources From the Same Author(s) Electronic patient identification for sample
  14. psnet.ahrq.gov/issue/missed-it-0
    October 13, 2018 - July 31, 2017 Electronic patient identification for sample labeling reduces wrong blood
  15. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/46013/psn-pdf
    January 01, 2018 - The dichotomy of the application of a systems approach in UK healthcare the challenges and priorities for implementation. December 19, 2017 Pickup L, Lang A, Atkinson S, et al. The dichotomy of the application of a systems approach in UK healthcare the challenges and priorities for implementation. Ergonomics. 2018…
  16. psnet.ahrq.gov/issue/preventing-medication-errors-empowering-patients
    September 28, 2016 - June 27, 2018 The July effect: an analysis of never events in the nationwide inpatient sample
  17. psnet.ahrq.gov/issue/preventing-high-alert-medication-errors-hospital-patients
    November 18, 2015 - May 29, 2019 The July effect: an analysis of never events in the nationwide inpatient sample
  18. psnet.ahrq.gov/issue/enhancing-physicians-use-clinical-guidelines
    July 01, 2017 - February 17, 2011 Evaluating sample medications in primary care: a practice-based research
  19. psnet.ahrq.gov/issue/bar-code-label-requirements-blood-and-blood-components
    May 04, 2015 - July 20, 2009 Enhanced detection of blood bank sample collection errors with a centralized
  20. psnet.ahrq.gov/issue/cognitive-biases-encountered-physicians-emergency-room
    June 19, 2024 - diagnosis of stroke in the emergency department: a cross-sectional analysis of a large population-based sample

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