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Showing results for "drugs".

  1. Medication administration quality and health information technology: a national study of US hospitals. | PSNet

    psnet.ahrq.gov/issue/medication-administration-quality-and-health-information-technology-national-study-us
    December 19, 2009 - Study Medication administration quality and health information technology: a national study of US hospitals. Citation Text: Appari A, Carian EK, Johnson E, et al. Medication administration quality and health information technology: a national study of US hospitals. J Am Med Inform Assoc.…

  2. Making the business case for patient safety. | PSNet

    psnet.ahrq.gov/issue/making-business-case-patient-safety
    March 04, 2011 - Commentary Making the business case for patient safety. Citation Text: Weeks WB, Bagian JP. Making the business case for patient safety. Jt Comm J Qual Saf. 2003;29(1):51-4, 1. Copy Citation Format: Google Scholar PubMed BibTeX EndNote X3 XML EndNote 7 XML Endnote tagged Pu…

  3. Using Lean to improve medication administration safety: in search of the "perfect dose." | PSNet

    psnet.ahrq.gov/issue/using-lean-improve-medication-administration-safety-search-perfect-dose
    September 16, 2015 - Study Using Lean to improve medication administration safety: in search of the "perfect dose." Citation Text: Ching JM, Long C, Williams BL, et al. Using lean to improve medication administration safety: in search of the "perfect dose". Jt Comm J Qual Patient Saf. 2013;39(5):195-204. C…

  4. Quality of life after maternal near miss: a systematic review. | PSNet

    psnet.ahrq.gov/issue/quality-life-after-maternal-near-miss-systematic-review
    November 24, 2021 - Study Quality of life after maternal near miss: a systematic review. Citation Text: Rosen IEW, Shiekh RM, Mchome B, et al. Quality of life after maternal near miss: a systematic review. Acta Obstet Gynecol Scand. 2021;100(4):704-714. doi:10.1111/aogs.14128. Copy Citation Format: …

  5. Inaccurate penicillin allergy labeling, the electronic health record, and adverse outcomes of care. | PSNet

    psnet.ahrq.gov/issue/inaccurate-penicillin-allergy-labeling-electronic-health-record-and-adverse-outcomes-care
    December 09, 2020 - Commentary Inaccurate penicillin allergy labeling, the electronic health record, and adverse outcomes of care. Citation Text: Olans RD, Olans RN, Marfatia R, et al. Inaccurate penicillin allergy labeling, the electronic health record, and adverse outcomes of care. Jt Comm J Qual Patient …

  6. Maternal mortality: near-miss events in middle-income countries, a systematic review. | PSNet

    psnet.ahrq.gov/issue/maternal-mortality-near-miss-events-middle-income-countries-systematic-review
    October 13, 2021 - Review Maternal mortality: near-miss events in middle-income countries, a systematic review. Citation Text: Heitkamp A, Meulenbroek A, van Roosmalen J, et al. Maternal mortality: near-miss events in middle-income countries, a systematic review. Bull World Health Organ. 2021;99(10):693-70…

  7. Eliminating explicit and implicit biases in health care: evidence and research needs. | PSNet

    psnet.ahrq.gov/issue/eliminating-explicit-and-implicit-biases-health-care-evidence-and-research-needs
    May 11, 2016 - Review Eliminating explicit and implicit biases in health care: evidence and research needs. Citation Text: Vela MB, Erondu AI, Smith NA, et al. Eliminating explicit and implicit biases in health care: evidence and research needs. Annu Rev Public Health. 2022;43(1):477-501. doi:10.1146/…

  8. A call to action: next steps to advance diagnosis education in the health professions. | PSNet

    psnet.ahrq.gov/issue/call-action-next-steps-advance-diagnosis-education-health-professions
    November 25, 2020 - Commentary A call to action: next steps to advance diagnosis education in the health professions. Citation Text: Graber ML, Holmboe ES, Stanley J, et al. A call to action: next steps to advance diagnosis education in the health professions. Diagnosis (Berl). 2022;9(2):166-175. doi:10.151…

  9. Organizational learning: health care leaders need to design structures and processes that enhance collective learning. | PSNet

    psnet.ahrq.gov/issue/organizational-learning-health-care-leaders-need-design-structures-and-processes-enhance
    November 18, 2020 - Commentary Organizational learning: health care leaders need to design structures and processes that enhance collective learning. Citation Text: Bohmer RM, Edmondson AC. Organizational learning in health care. Health Forum J. 2001;44(2):32-35. Copy Citation Format: Google…

  10. Patient perspectives on the usefulness of an artificial intelligence-assisted symptom checker: cross-sectional survey study. | PSNet

    psnet.ahrq.gov/issue/patient-perspectives-usefulness-artificial-intelligence-assisted-symptom-checker-cross
    November 25, 2020 - Study Emerging Classic Patient perspectives on the usefulness of an artificial intelligence-assisted symptom checker: cross-sectional survey study. Citation Text: Meyer AND, Giardina TD, Spitzmueller C, et al. Patient Perspectives on the Usefulness of an Artific…

  11. GPT versus resident physicians — a benchmark based on official board scores. | PSNet

    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: …

  12. Contraindicated medication use in dialysis patients undergoing percutaneous coronary intervention. | PSNet

    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:…

  13. Healthcare in a land called PeoplePower: nothing about me without me. | PSNet

    psnet.ahrq.gov/issue/healthcare-land-called-peoplepower-nothing-about-me-without-me
    March 18, 2019 - Commentary Classic Healthcare in a land called PeoplePower: nothing about me without me. Citation Text: Delbanco T, Berwick D, Boufford JI, et al. Healthcare in a land called PeoplePower: nothing about me without me. Health Expect. 2001;4(3):144-50. Copy Cit…

  14. Toward a safer health care system: the critical need to improve measurement. | PSNet

    psnet.ahrq.gov/issue/toward-safer-health-care-system-critical-need-improve-measurement
    November 03, 2015 - Commentary Classic Toward a safer health care system: the critical need to improve measurement. Citation Text: Jha AK, Pronovost P. Toward a Safer Health Care System: The Critical Need to Improve Measurement. JAMA. 2016;315(17):1831-2. doi:10.1001/jama.2016.3448…

  15. Adverse-event-reporting practices by US hospitals: results of a national survey. | PSNet

    psnet.ahrq.gov/issue/adverse-event-reporting-practices-us-hospitals-results-national-survey
    December 30, 2014 - Study Adverse-event-reporting practices by US hospitals: results of a national survey. Citation Text: Farley DO, Haviland A, Champagne S, et al. Adverse-event-reporting practices by US hospitals: results of a national survey. Qual Saf Health Care. 2008;17(6):416-23. doi:10.1136/qshc.20…

  16. Machine learning models outperform manual result review for the identification of wrong blood in tube errors in complete blood count results. | PSNet

    psnet.ahrq.gov/issue/machine-learning-models-outperform-manual-result-review-identification-wrong-blood-tube
    May 13, 2020 - Study Machine learning models outperform manual result review for the identification of wrong blood in tube errors in complete blood count results. Citation Text: Farrell C‐JL, Giannoutsos J. Machine learning models outperform manual result review for the identification of wrong blood in…

  17. An analysis of the structure and content of dashboards used to monitor patient safety in the inpatient setting. | PSNet

    psnet.ahrq.gov/issue/analysis-structure-and-content-dashboards-used-monitor-patient-safety-inpatient-setting
    March 09, 2022 - Study An analysis of the structure and content of dashboards used to monitor patient safety in the inpatient setting. Citation Text: Kuznetsova M, Frits ML, Dulgarian S, et al. An analysis of the structure and content of dashboards used to monitor patient safety in the inpatient setting.…

  18. The potential for leveraging machine learning to filter medication alerts. | PSNet

    psnet.ahrq.gov/issue/potential-leveraging-machine-learning-filter-medication-alerts
    July 22, 2020 - Study The potential for leveraging machine learning to filter medication alerts. Citation Text: Liu S, Kawamoto K, Del Fiol G, et al. The potential for leveraging machine learning to filter medication alerts. J Am Med Inform Assoc. 2022;29(5):891-899. doi:10.1093/jamia/ocab292. Copy Ci…

  19. Use of therapeutic outcomes monitoring method for performing of pharmaceutical care in oncology patients. | PSNet

    psnet.ahrq.gov/issue/use-therapeutic-outcomes-monitoring-method-performing-pharmaceutical-care-oncology-patients
    April 21, 2021 - Study Use of therapeutic outcomes monitoring method for performing of pharmaceutical care in oncology patients. Citation Text: Cataldo RRV, Manaças LAR, Figueira PHM, et al. Use of therapeutic outcomes monitoring method for performing of pharmaceutical care in oncology patients. J Oncol …

  20. Patient safety goals for the proposed Federal Health Information Technology Safety Center. | PSNet

    psnet.ahrq.gov/issue/patient-safety-goals-proposed-federal-health-information-technology-safety-center
    November 30, 2011 - Commentary Classic Patient safety goals for the proposed Federal Health Information Technology Safety Center. Citation Text: Sittig DF, Classen D, Singh H. Patient safety goals for the proposed Federal Health Information Technology Safety Center. J Am Med Inform…
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