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Showing results for "technique".

  1. www.ahrq.gov/sites/default/files/wysiwyg/pqmp/toolkits/vchip-strategies-for-kdd.pdf
    February 01, 2015 - Strategies to Improve Asthma Care and Treatment in Primary Care Practices Strategies to Improve Asthma Care and Treatment in Primary Care Practices* The following are strategies that healthcare professionals and primary care practices used to improve office systems to address and promote optimal asthma treatment as…
  2. psnet.ahrq.gov/issue/trends-survival-after-hospital-cardiac-arrest-during-nights-and-weekends
    February 17, 2011 - Study Emerging Classic Trends in survival after in-hospital cardiac arrest during nights and weekends. Citation Text: Ofoma UR, Basnet S, Berger A, et al. Trends in Survival After In-Hospital Cardiac Arrest During Nights and Weekends. J Am Coll Cardiol. 2018;71(…
  3. psnet.ahrq.gov/issue/patient-misidentification-events-veterans-health-administration-comprehensive-review-context
    November 24, 2021 - Study Patient misidentification events in the Veterans Health Administration: a comprehensive review in the context of high-reliability health care. Citation Text: Kulju S, Morrish W, King LA, et al. Patient misidentification events in the Veterans Health Administration: a comprehensive …
  4. psnet.ahrq.gov/issue/communication-practices-4-harvard-surgical-services-surgical-safety-collaborative
    September 29, 2017 - Study Communication practices on 4 Harvard surgical services: a surgical safety collaborative. Citation Text: Elbardissi AW, Regenbogen SE, Greenberg CC, et al. Communication practices on 4 Harvard surgical services: a surgical safety collaborative. Ann Surg. 2009;250(6):861-5. doi:10.…
  5. psnet.ahrq.gov/issue/machine-learning-based-clinical-decision-support-system-identify-prescriptions-high-risk
    May 20, 2020 - Study Emerging Classic A machine learning-based clinical decision support system to identify prescriptions with a high risk of medication error. Citation Text: Corny J, Rajkumar A, Martin O, et al. A machine learning–based clinical decision support system to ide…
  6. psnet.ahrq.gov/issue/objective-framework-evaluating-unrecognized-bias-medical-ai-models-predicting-covid-19
    July 22, 2020 - Study An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. Citation Text: Estiri H, Strasser ZH, Rashidian S, et al. An objective framework for evaluating unrecognized bias in medical AI models predicting COVID-19 outcomes. J Am Med I…
  7. 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…
  8. psnet.ahrq.gov/issue/increasing-naloxone-prescribing-emergency-department-through-education-and-electronic-medical
    October 14, 2020 - Study Increasing naloxone prescribing in the emergency department through education and electronic medical record work-aids. Citation Text: Funke M, Kaplan MC, Glover H, et al. Increasing naloxone prescribing in the emergency department through education and electronic medical record wor…
  9. www.ahrq.gov/ncepcr/tools/transform-qi/deliver-facilitation/curriculum/front-matter.html
    February 01, 2022 - Primary Care Practice Facilitation Curriculum Preface Previous Page Next Page Table of Contents Primary Care Practice Facilitation Curriculum Preface Introduction Part 1: Use of Adult Education Methods in Teaching PCPF Core Competencies Part 2: Introduction to Practice Facilitation Part 3:…
  10. psnet.ahrq.gov/issue/patient-readmissions-emergency-visits-and-adverse-events-after-software-assisted-discharge
    November 16, 2022 - Study Patient readmissions, emergency visits, and adverse events after software-assisted discharge from hospital: cluster randomized trial. Citation Text: Graumlich JF, Novotny NL, Nace S, et al. Patient readmissions, emergency visits, and adverse events after software-assisted dischar…
  11. www.ahrq.gov/research/findings/final-reports/stpra/stpra1.html
    April 01, 2018 - Proactive Risk Assessment of Surgical Site Infection in Ambulatory Surgery Centers Chapter 1. Introduction Previous Page Next Page Table of Contents Proactive Risk Assessment of Surgical Site Infection in Ambulatory Surgery Centers Executive Summary Chapter 1. Introduction Chapter 2. ST-PRA De…
  12. digital.ahrq.gov/ahrq-funded-projects/guidelines-decision-support-glides/annual-summary/2012
    January 01, 2012 - Guidelines into Decision Support (GLIDES) - 2012 Project Name Guidelines Into Decision Support (GLIDES) Principal Investigator Shiffman, Richard N. Organization Yale University Funding Mechanism Clinical Decision Support Services Contract Number 290-08-10011…
  13. psnet.ahrq.gov/issue/automating-detection-diagnostic-error-infectious-diseases-using-machine-learning
    October 09, 2024 - Study Automating detection of diagnostic error of infectious diseases using machine learning. Citation Text: Peterson KS, Chapman AB, Widanagamaachchi W, et al. Automating detection of diagnostic error of infectious diseases using machine learning. PLOS Digit Health. 2024;3(6):e0000528. …
  14. digital.ahrq.gov/ahrq-funded-projects/ml-rover-machine-learning-reduce-laboratory-test-overutilization
    August 01, 2024 - ML-ROVER: Machine Learning to Reduce Laboratory Test Overutilization Project Description Implementing a validated machine learning based clinical decision support tool to reduce laboratory testing overutilization in pediatric intensive care unit patients will create a sustainab…
  15. psnet.ahrq.gov/issue/patient-safety-indicators-during-initial-covid-19-pandemic-surge-united-states
    August 03, 2022 - Study Patient safety indicators during the initial COVID-19 pandemic surge in the United States. Citation Text: Rodriguez JA, Samal L, Ganesan S, et al. Patient safety indicators during the initial COVID-19 pandemic surge in the United States. J Patient Saf. 2024;20(4):247-251. doi:10.10…
  16. psnet.ahrq.gov/issue/i-pass-handoff-program-use-campaign-effect-transformational-change
    April 24, 2018 - Study I-PASS handoff program: use of a campaign to effect transformational change. Citation Text: Rosenbluth G, Destino LA, Starmer AJ, et al. I-PASS Handoff Program: Use of a Campaign to Effect Transformational Change. Ped Qual Saf. 2018;3(4):e088. doi:10.1097/pq9.0000000000000088. Co…
  17. 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-…
  18. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/41683/psn-pdf
    September 19, 2012 - Techniques to improve patient safety in hospitals: what nurse administrators need to know. September 19, 2012 Fagan MJ. Techniques to improve patient safety in hospitals: what nurse administrators need to know. J Nurs Adm. 2012;42(9):426-430. doi:10.1097/NNA.0b013e3182664df5. https://psnet.ahrq.gov/issue/technique…
  19. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/38698/psn-pdf
    June 10, 2009 - Towards a framework to select techniques for error prediction: supporting novice users in the healthcare sector. June 10, 2009 Lyons M. Towards a framework to select techniques for error prediction: supporting novice users in the healthcare sector. Appl Ergon. 2009;40(3):379-95. doi:10.1016/j.apergo.2008.11.004. …
  20. Psn-Pdf (pdf file)

    psnet.ahrq.gov/node/46304/psn-pdf
    November 01, 2017 - Comparative performance of pediatric weight estimation techniques: a human factor errors analysis. November 1, 2017 Abdel-Rahman SM, Jacobsen R, Watts JL, et al. Comparative performance of pediatric weight estimation techniques: a human factor errors analysis. Pediatr Emerg Care. 2015;33(8):548-552. doi:10.1097/pe…