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Showing results for "measuring".

  1. psnet.ahrq.gov/issue/development-leapfrog-groups-bar-code-medication-administration-standard-address-hospital
    November 10, 2015 - Commentary Development of the Leapfrog Group's bar code medication administration standard to address hospital inpatient medication safety. Citation Text: Austin JM, Bane A, Gooder V, et al. Development of the Leapfrog Group's bar code medication administration standard to address hospit…
  2. psnet.ahrq.gov/issue/prosocial-voice-hierarchy-healthcare-professionals-role-emotions-after-harmful-patient-safety
    February 23, 2022 - Review Prosocial voice in the hierarchy of healthcare professionals: the role of emotions after harmful patient safety incidents. Citation Text: Richmond JG, Burgess N. Prosocial voice in the hierarchy of healthcare professionals: the role of emotions after harmful patient safety inciden…
  3. psnet.ahrq.gov/issue/deficiencies-community-care-network-credentialing-process-former-va-surgeon-and-veterans
    November 29, 2023 - Book/Report Deficiencies in the Community Care Network Credentialing Process of a Former VA Surgeon and Veterans Health Administration Oversight Failures. Citation Text: Deficiencies in the Community Care Network Credentialing Process of a Former VA Surgeon and Veterans Health Administra…
  4. psnet.ahrq.gov/issue/care-deficiencies-and-leaders-inadequate-reviews-patient-who-died-lt-col-luke-weathers-jr-va
    April 10, 2024 - Book/Report Care Deficiencies and Leaders' Inadequate Reviews of a Patient Who Died at the Lt. Col. Luke Weathers, Jr. VA Medical Center in Memphis, Tennessee. Citation Text: Care Deficiencies and Leaders' Inadequate Reviews of a Patient Who Died at the Lt. Col. Luke Weathers, Jr. VA Me…
  5. psnet.ahrq.gov/issue/interpreting-and-coding-causal-relationships-quality-and-safety-using-icd-11
    November 15, 2017 - Commentary Interpreting and coding causal relationships for quality and safety using ICD-11. Citation Text: Januel J-M, Southern DA, Ghali WA. Interpreting and coding causal relationships for quality and safety using ICD-11. BMC Med Inform Decis Mak. 2023;21(Suppl 6):385. doi:10.1186/s12…
  6. psnet.ahrq.gov/issue/value-investments-health-information-technology-us-department-veterans-affairs
    February 10, 2015 - Study The value from investments in health information technology at the U.S. Department of Veterans Affairs. Citation Text: Byrne CM, Mercincavage LM, Pan EC, et al. The value from investments in health information technology at the U.S. Department of Veterans Affairs. Health Aff (Millw…
  7. psnet.ahrq.gov/issue/sex-differences-operating-room-care-giver-perceptions-patient-safety-pilot-study-veterans
    June 14, 2011 - Study Sex differences in operating room care giver perceptions of patient safety: a pilot study from the Veterans Health Administration Medical Team Training Program. Citation Text: Carney BT, Mills PD, Bagian JP, et al. Sex differences in operating room care giver perceptions of patie…
  8. psnet.ahrq.gov/issue/fda-drug-safety-communication-fda-warns-about-prescribing-and-dispensing-errors-resulting
    August 05, 2020 - Press Release/Announcement FDA Drug Safety Communication: FDA warns about prescribing and dispensing errors resulting from brand name confusion with antidepressant Brintellix (vortioxetine) and antiplatelet Brilinta (ticagrelor). Citation Text: FDA Drug Safety Communication: FDA warns ab…
  9. psnet.ahrq.gov/issue/patient-safety-trends-2022-analysis-256679-serious-events-and-incidents-nations-largest-event
    July 24, 2024 - Study Patient safety trends in 2022: an analysis of 256,679 serious events and incidents from the nation’s largest event reporting database. Citation Text: Kepner S, Jones RM. Patient Safety Trends in 2022: an analysis of 256,679 serious events and incidents from the nation’s largest eve…
  10. psnet.ahrq.gov/issue/fighting-common-enemy-catalyst-close-intractable-safety-gaps
    June 30, 2021 - Commentary Fighting a common enemy: a catalyst to close intractable safety gaps. Citation Text: Singh H, Sittig DF, Gandhi TK. Fighting a common enemy: a catalyst to close intractable safety gaps. BMJ Qual Saf. 2021;30(2):141-145. doi:10.1136/bmjqs-2020-011390. Copy Citation Format…
  11. psnet.ahrq.gov/issue/patient-safety-trends-2023-analysis-287997-serious-events-and-incidents-nations-largest-event
    July 24, 2024 - Study Patient safety trends in 2023: an analysis of 287,997 serious events and incidents from the nation’s largest event reporting database. Citation Text: Kepner S, Jones RM. Patient safety trends in 2023: an analysis of 287,997 serious events and incidents from the nation’s largest eve…
  12. psnet.ahrq.gov/issue/how-hospitals-select-their-patient-safety-priorities-exploratory-study-four-veterans-health
    March 15, 2016 - Study How hospitals select their patient safety priorities: an exploratory study of four Veterans Health Administration hospitals. Citation Text: George J, Parker VA, Sullivan JL, et al. How hospitals select their patient safety priorities. Health Care Manag Rev. 2020;45(4):E56-E67. doi:…
  13. psnet.ahrq.gov/issue/model-improving-health-care-quality-transgender-and-gender-nonconforming-patients
    August 12, 2020 - Commentary A model for improving health care quality for transgender and gender nonconforming patients. Citation Text: Ding JM, Ehrenfeld JM, Edmiston EK, et al. A model for improving health care quality for transgender and gender nonconforming patients. Jt Comm J Qual Patient Saf. 2020;…
  14. psnet.ahrq.gov/issue/contributing-factors-pediatric-ambulatory-diagnostic-process-errors-project-redde
    November 30, 2022 - Study Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE. Citation Text: Dadlez NM, Adelman JS, Bundy DG, et al. Contributing factors for pediatric ambulatory diagnostic process errors: Project RedDE. Ped Qual Saf. 2020;5(3):e299-e305. doi:10.1097/pq9.…
  15. psnet.ahrq.gov/issue/teamstepps-improving-diagnosis-team-assessment-tool-scale-development-and-psychometric
    January 22, 2025 - Study The TeamSTEPPS for Improving Diagnosis Team Assessment Tool: scale development and psychometric evaluation. Citation Text: Ali KJ, Goeschel CA, Eckroade MM, et al. The TeamSTEPPS for Improving Diagnosis Team Assessment Tool: scale development and psychometric evaluation. Jt Comm J …
  16. psnet.ahrq.gov/issue/elimination-central-venous-catheter-related-bloodstream-infections-intensive-care-unit
    January 11, 2017 - Study Elimination of central-venous-catheter-related bloodstream infections from the intensive care unit. Citation Text: Longmate AG, Ellis KS, Boyle L, et al. Elimination of central-venous-catheter-related bloodstream infections from the intensive care unit. BMJ Qual Saf. 2011;20(2):1…
  17. psnet.ahrq.gov/issue/application-human-factors-improve-usability-clinical-decision-support-diagnostic-decision
    May 11, 2022 - Study Application of human factors to improve usability of clinical decision support for diagnostic decision-making: a scenario-based simulation study. Citation Text: Carayon P, Hoonakker P, Hundt AS, et al. Application of human factors to improve usability of clinical decision support f…
  18. psnet.ahrq.gov/issue/leapfrog-safety-grades-california-hospitals-data-analysis
    November 16, 2022 - Study Leapfrog safety grades in California hospitals: a data analysis. Citation Text: Razick D, Amani N, Ali L, et al. Leapfrog safety grades in California hospitals: a data analysis. Am J Med Qual. 2024;39(5):251-255. doi:10.1097/jmq.0000000000000200. Copy Citation Format: …
  19. psnet.ahrq.gov/issue/partners-our-care-patient-safety-patient-perspective
    December 04, 2016 - Study Partners in our care: patient safety from a patient perspective. Citation Text: Hovey RB, Morck A, Nettleton S, et al. Partners in our care: patient safety from a patient perspective. Qual Saf Health Care. 2010;19(6):e59. doi:10.1136/qshc.2008.030908. Copy Citation Format: …
  20. psnet.ahrq.gov/issue/predicting-self-intercepted-medication-ordering-errors-using-machine-learning
    May 13, 2020 - Study Predicting self-intercepted medication ordering errors using machine learning. Citation Text: King CR, Abraham J, Fritz BA, et al. Predicting self-intercepted medication ordering errors using machine learning. PLoS One. 2021;16(7):e0254358. doi:10.1371/journal.pone.0254358. Copy …

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