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Showing results for "enhancing".

  1. Healthy work environments, nurse-physician communication, and patients' outcomes. | PSNet

    psnet.ahrq.gov/issue/healthy-work-environments-nurse-physician-communication-and-patients-outcomes
    June 05, 2024 - Study Healthy work environments, nurse-physician communication, and patients' outcomes. Citation Text: Manojlovich M, DeCicco B. Healthy work environments, nurse-physician communication, and patients' outcomes. Am J Crit Care. 2007;16(6):536-43. Copy Citation Format: Goog…

  2. Improving doctor–patient communication in a digital world. | PSNet

    psnet.ahrq.gov/issue/improving-doctor-patient-communication-digital-world
    March 02, 2022 - Audiovisual Improving doctor–patient communication in a digital world. Citation Text: Improving doctor–patient communication in a digital world. Lakshmanan I. The Diane Rehm Show. February 9, 2016. Copy Citation Save Save to your library Print Download P…

  3. Chronicle of a pandemic foretold: learning from the COVID-19 failure—before the next outbreak arrives. | PSNet

    psnet.ahrq.gov/issue/chronicle-pandemic-foretold-learning-covid-19-failure-next-outbreak-arrives
    June 08, 2022 - Newspaper/Magazine Article Chronicle of a pandemic foretold: learning from the COVID-19 failure—before the next outbreak arrives. Citation Text: Osterholm MT, Olshaker M. Chronicle of a pandemic foretold: learning from the COVID-19 failure—before the next outbreak arrives. Foreign Affair…

  4. Geometric probability distribution for modeling of error risk during prescription dispensing. | PSNet

    psnet.ahrq.gov/issue/geometric-probability-distribution-modeling-error-risk-during-prescription-dispensing
    December 24, 2008 - Study Geometric probability distribution for modeling of error risk during prescription dispensing. Citation Text: Carnahan BJ, Maghsoodloo S, Flynn EA, et al. Geometric probability distribution for modeling of error risk during prescription dispensing. Am J Health Syst Pharm. 2006;63(…

  5. Implementing smart infusion pumps with dose-error reduction software: real-world experiences. | PSNet

    psnet.ahrq.gov/issue/implementing-smart-infusion-pumps-dose-error-reduction-software-real-world-experiences
    May 26, 2021 - Commentary Implementing smart infusion pumps with dose-error reduction software: real-world experiences. Citation Text: Heron C. Implementing smart infusion pumps with dose-error reduction software: real-world experiences. Br J Nurs. 2017;26(8):S13-S16. doi:10.12968/bjon.2017.26.8.S13. …

  6. Prioritizing threats to patient safety in rural primary care. | PSNet

    psnet.ahrq.gov/issue/prioritizing-threats-patient-safety-rural-primary-care
    April 23, 2014 - Study Prioritizing threats to patient safety in rural primary care. Citation Text: Singh R, Singh A, Servoss TJ, et al. Prioritizing threats to patient safety in rural primary care. J Rural Health. 2007;23(2):173-8. Copy Citation Format: Google Scholar PubMed BibTeX EndNo…

  7. The trainee's voice: recognising the importance of preoperative briefings for surgical trainees. | PSNet

    psnet.ahrq.gov/issue/trainees-voice-recognising-importance-preoperative-briefings-surgical-trainees
    October 09, 2019 - Commentary The trainee's voice: recognising the importance of preoperative briefings for surgical trainees. Citation Text: Bethune R, Blencowe NS. The trainee's voice: recognising the importance of preoperative briefings for surgical trainees. J Perioper Pract. 2014;24(3):56-58. Copy C…

  8. Quality and safety education for nurses: a nursing leadership skills exercise. | PSNet

    psnet.ahrq.gov/issue/quality-and-safety-education-nurses-nursing-leadership-skills-exercise
    July 29, 2020 - Commentary Quality and safety education for nurses: a nursing leadership skills exercise. Citation Text: Harrison EM. Quality and safety education for nurses: a nursing leadership skills exercise. J Nurs Educ. 2014;53(6):356-361. doi:10.3928/01484834-20140512-01. Copy Citation Form…

  9. Survey results: smart pump data analytics pump metrics that should be monitored to improve safety. | PSNet

    psnet.ahrq.gov/issue/survey-results-smart-pump-data-analytics-pump-metrics-should-be-monitored-improve-safety
    August 08, 2018 - Newspaper/Magazine Article Survey results: smart pump data analytics pump metrics that should be monitored to improve safety. Citation Text: Survey results: smart pump data analytics pump metrics that should be monitored to improve safety. ISMP Medication Safety Alert! Acute care edition…

  10. Interventions to improve teamwork and communications among healthcare staff. | PSNet

    psnet.ahrq.gov/issue/interventions-improve-teamwork-and-communications-among-healthcare-staff
    March 03, 2011 - Review Interventions to improve teamwork and communications among healthcare staff. Citation Text: McCulloch P, Rathbone J, Catchpole K. Interventions to improve teamwork and communications among healthcare staff. Br J Surg. 2011;98(4):469-79. doi:10.1002/bjs.7434. Copy Citation …

  11. Delivering high reliability in maternity care: in situ simulation as a source of organisational resilience. | PSNet

    psnet.ahrq.gov/issue/delivering-high-reliability-maternity-care-situ-simulation-source-organisational-resilience
    April 05, 2023 - Commentary Emerging Classic Delivering high reliability in maternity care: in situ simulation as a source of organisational resilience. Citation Text: Macrae C, Draycott T. Delivering high reliability in maternity care: In situ simulation as a source of organisa…

  12. HCUP-US Overview

    hcup-us.ahrq.gov/overview.jsp
    February 01, 2022 - HCUP The Healthcare Cost and Utilization Project (HCUP, pronounced "H-Cup") is a family of healthcare databases and related software tools and products developed through a Federal-State-Industry partnership and sponsored by the Agency for Healthcare Research and Quality (AHRQ). HCUP databases bring together the data…

  13. Understanding liability risk from using health care artificial intelligence tools. | PSNet

    psnet.ahrq.gov/issue/understanding-liability-risk-using-health-care-artificial-intelligence-tools
    April 03, 2024 - Commentary Understanding liability risk from using health care artificial intelligence tools. Citation Text: Mello MM, Guha N. Understanding liability risk from using health care artificial intelligence tools. N Engl J Med. 2024;390(3):271-278. doi:10.1056/nejmhle2308901. Copy Citation…

  14. Medical Expenditure Panel Survey Household Component Overview

    meps.ahrq.gov/survey_comp/household.jsp
    December 02, 2022 - Medical Expenditure Panel Survey Household Component Overview   Skip to main content An official website of the Department of Health & Human Services More Back Sear…

  15. Fostering transparency in outcomes, quality, safety, and costs. | PSNet

    psnet.ahrq.gov/issue/fostering-transparency-outcomes-quality-safety-and-costs
    January 29, 2015 - Commentary Fostering transparency in outcomes, quality, safety, and costs. Citation Text: Austin M, McGlynn EA, Pronovost P. Fostering Transparency in Outcomes, Quality, Safety, and Costs. JAMA. 2016;316(16):1661-1662. doi:10.1001/jama.2016.14039. Copy Citation Format: DOI …

  16. Case Studies of Exemplary Primary Care Practice Facilitation Training Programs | Agency for Healthcare Research and Quality

    www.ahrq.gov/ncepcr/tools/case-studies/index.html
    August 01, 2014 - Case Studies of Exemplary Primary Care Practice Facilitation Training Programs Next Page Table of Contents Case Studies of Exemplary Primary Care Practice Facilitation Training Programs Overview Training Program Summary: HealthTeamWorks’ Coach University Training Program Summary: Millard Fillmor…

  17. Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care | Digital Healthcare Research

    digital.ahrq.gov/ahrq-funded-projects/guiding-safe-and-effective-integration-ambient-digital-scribes-primary-care
    September 30, 2024 - Guiding the Safe and Effective Integration of Ambient Digital Scribes into Primary Care Project Description Developing a guide to assist healthcare organizations safely and effectively adopt ambient digital scribes (ADSs), powered by artificial intelligence (AI), may help impro…

  18. EvidenceNOW: Managing Urinary Incontinence | Agency for Healthcare Research and Quality

    www.ahrq.gov/evidencenow/projects/urinary/index.html
    April 01, 2025 - EvidenceNOW: Managing Urinary Incontinence Problem Urinary Incontinence (UI) affects a large number of women. More than half of women over 20 years of age reported any urinary leakage. Overall, about 30% of older women in the U.S. report moderate to severe UI, which can increase depression and work disability. …

  19. Nisbrochure 050218 (pdf file)

    hcup-us.ahrq.gov/news/exhibit_booth/NISBrochure_050218.pdf
    May 16, 2018 - What is the NIS? The National Inpatient Sample (NIS) is part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NIS is the largest all-payer inpatient care database in the United States, containing data on more than seven million hospital stays. Its large…

  20. Nrdbrochure 050218 (pdf file)

    hcup-us.ahrq.gov/news/exhibit_booth/NRDBrochure_050218.pdf
    May 16, 2018 - What is the NRD? The Nationwide Readmissions Database (NRD) is part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NRD is a unique and powerful database designed to support various types of analyses of national readmission rates for all payers and the…
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