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Showing results for "large".

1. Intended and unintended effects of large-scale adverse event disclosure: a controlled before-after analysis of five large-scale notifications. | PSNet
   psnet.ahrq.gov/issue/intended-and-unintended-effects-large-scale-adverse-event-disclosure-controlled-after
   August 18, 2021 - Study Intended and unintended effects of large-scale adverse event disclosure: a … controlled before-after analysis of five large-scale notifications. … of five large-scale notifications. … Large-scale adverse events are those in which a group of patients are exposed to a risk of infection … of five large-scale notifications.

2. Large-scale Coordination: Health Care. | PSNet
   psnet.ahrq.gov/issue/large-scale-coordination-health-care
   August 06, 2016 - Special or Theme Issue Large-scale Coordination: Health Care. … Citation Text: Large-scale Coordination: Health Care. Nemeth CP ed. … Linkedin Copy URL Cite Citation Citation Text: Large-scale

3. The disclosure dilemma—large-scale adverse events. | PSNet
   psnet.ahrq.gov/issue/disclosure-dilemma-large-scale-adverse-events
   January 22, 2017 - Commentary The disclosure dilemma—large-scale adverse events. … The disclosure dilemma--large-scale adverse events. … This study discusses large-scale adverse events (such as failure to sterilize an endoscope used on scores … The disclosure dilemma--large-scale adverse events. … Ensuring sufficient patient notification efforts after a large-scale adverse event.

4. Large-scale deployment of the Global Trigger Tool across a large hospital system: refinements for the characterisation of adverse events to support patient safety learning opportunities. | PSNet
   psnet.ahrq.gov/issue/large-scale-deployment-global-trigger-tool-across-large-hospital-system-refinements
   November 23, 2014 - Study Large-scale deployment of the Global Trigger Tool across a large hospital system … Large-scale deployment of the Global Trigger Tool across a large hospital system: refinements for the … Large-scale deployment of the Global Trigger Tool across a large hospital system: refinements for the … Related Resources From the Same Author(s) Characterization of adverse events detected in a large

5. Responding to large-scale testing errors. | PSNet
   psnet.ahrq.gov/issue/responding-large-scale-testing-errors
   December 18, 2008 - Commentary Responding to large-scale testing errors. … Responding to Large-Scale Testing Errors: Table 1. … Responding to Large-Scale Testing Errors: Table 1.

6. Exploring the association between organizational culture and large-scale adverse events: evidence from the Veterans Health Administration. | PSNet
   psnet.ahrq.gov/issue/exploring-association-between-organizational-culture-and-large-scale-adverse-events-evidence
   August 18, 2021 - Study Exploring the association between organizational culture and large-scale adverse … Exploring the Association Between Organizational Culture and Large-Scale Adverse Events: Evidence from … Exploring the Association Between Organizational Culture and Large-Scale Adverse Events: Evidence from … : a controlled before-after analysis of five large-scale notifications. … Ensuring sufficient patient notification efforts after a large-scale adverse event.

7. How do we know when we have done enough? Ensuring sufficient patient notification efforts after a large-scale adverse event. | PSNet
   psnet.ahrq.gov/issue/how-do-we-know-when-we-have-done-enough-ensuring-sufficient-patient-notification-efforts
   August 18, 2021 - Ensuring sufficient patient notification efforts after a large-scale adverse event. … Ensuring sufficient patient notification efforts after a large-scale adverse event. … Ensuring sufficient patient notification efforts after a large-scale adverse event. … : a controlled before-after analysis of five large-scale notifications. … March 26, 2015 The disclosure dilemma—large-scale adverse events.

8. Improving healthcare systems' disclosures of large-scale adverse events: a Department of Veterans Affairs leadership, policymaker, research and stakeholder partnership. | PSNet
   psnet.ahrq.gov/issue/improving-healthcare-systems-disclosures-large-scale-adverse-events-department-veterans
   August 18, 2021 - Study Improving healthcare systems' disclosures of large-scale adverse events: a … Improving healthcare systems' disclosures of large-scale adverse events: a Department of Veterans Affairs … This interview study examined how the Veterans Affairs medical centers disclosed large-scale adverse … August 18, 2021 Intended and unintended effects of large-scale adverse event disclosure … : a controlled before-after analysis of five large-scale notifications.

9. Combining multiple large language models improves diagnostic accuracy. | PSNet
   psnet.ahrq.gov/issue/combining-multiple-large-language-models-improves-diagnostic-accuracy
   March 02, 2011 - Study Combining multiple large language models improves diagnostic accuracy. … Combining multiple large language models improves diagnostic accuracy. … This study applied methods of collective intelligence to four large language models (LLM). … Combining multiple large language models improves diagnostic accuracy.

10. Developing and evaluating large language model-generated emergency medicine handoff notes. | PSNet
    psnet.ahrq.gov/issue/developing-and-evaluating-large-language-model-generated-emergency-medicine-handoff-notes
    March 12, 2025 - Study Developing and evaluating large language model-generated emergency medicine … Developing and evaluating large language model-generated emergency medicine handoff notes. … In this study, a large language model (LLM) was designed and used to draft notes for handoff from the … Developing and evaluating large language model-generated emergency medicine handoff notes. … Download Citation Related Resources From the Same Author(s) Medical large

11. Disclosing large scale adverse events in the US Veterans Health Administration: lessons from media responses. | PSNet
    psnet.ahrq.gov/issue/disclosing-large-scale-adverse-events-us-veterans-health-administration-lessons-media
    August 18, 2021 - Study Disclosing large scale adverse events in the US Veterans Health Administration … Disclosing large scale adverse events in the US Veterans Health Administration: lessons from media responses … Large-scale adverse events can diminish public trust. … March 26, 2015 Intended and unintended effects of large-scale adverse event disclosure … : a controlled before-after analysis of five large-scale notifications.

12. Medical large language models are vulnerable to data-poisoning attacks. | PSNet
    psnet.ahrq.gov/issue/medical-large-language-models-are-vulnerable-data-poisoning-attacks
    November 16, 2022 - Study Medical large language models are vulnerable to data-poisoning attacks. … Medical large language models are vulnerable to data-poisoning attacks. … To produce safe, accurate output, large language models (LLMs) must be trained on accurate information … Medical large language models are vulnerable to data-poisoning attacks.

13. Implementing SBAR across a large multihospital health system. | PSNet
    psnet.ahrq.gov/issue/implementing-sbar-across-large-multihospital-health-system
    November 23, 2014 - Study Implementing SBAR across a large multihospital health system. … Implementing SBAR across a large multihospital health system. … Implementing SBAR across a large multihospital health system. … Related Resources From the Same Author(s) Characterization of adverse events detected in a large

14. Performance of large language models on medical oncology examination questions. | PSNet
    psnet.ahrq.gov/issue/performance-large-language-models-medical-oncology-examination-questions
    January 12, 2022 - Study Performance of large language models on medical oncology examination questions … Performance of large language models on medical oncology examination questions. … A common way to test the accuracy and limitations of large language models (LLM) is by prompting it … Performance of large language models on medical oncology examination questions.

15. Race differences in a malpractice event database in a large healthcare system. | PSNet
    psnet.ahrq.gov/issue/race-differences-malpractice-event-database-large-healthcare-system
    December 15, 2021 - Study Race differences in a malpractice event database in a large healthcare system … Race differences in a malpractice event database in a large healthcare system. … In this study, researchers used a large healthcare system’s malpractice database to examine racial differences … Race differences in a malpractice event database in a large healthcare system.

16. Safer and more appropriate opioid prescribing: a large healthcare system's comprehensive approach. | PSNet
    psnet.ahrq.gov/issue/safer-and-more-appropriate-opioid-prescribing-large-healthcare-systems-comprehensive-approach
    June 10, 2020 - Study Safer and more appropriate opioid prescribing: a large healthcare system's … Safer and more appropriate opioid prescribing: a large healthcare system's comprehensive approach. … This retrospective pre–post intervention study describes a large health care system's initiative to improve … Safer and more appropriate opioid prescribing: a large healthcare system's comprehensive approach.

17. Tiered daily huddles: the power of teamwork in managing large healthcare organisations. | PSNet
    psnet.ahrq.gov/issue/tiered-daily-huddles-power-teamwork-managing-large-healthcare-organisations
    December 09, 2020 - Commentary Tiered daily huddles: the power of teamwork in managing large healthcare … Tiered daily huddles: the power of teamwork in managing large healthcare organisations. … This article describes the implementation of a tiered huddle system across a large healthcare system … Tiered daily huddles: the power of teamwork in managing large healthcare organisations.

18. Does one size fit all? Developing an evaluation strategy to assess large language models for patient safety event report analysis. | PSNet
    psnet.ahrq.gov/issue/does-one-size-fit-all-developing-evaluation-strategy-assess-large-language-models-patient
    December 07, 2022 - Developing an evaluation strategy to assess large language models for patient safety event report analysis … Developing an evaluation strategy to assess large language models for patient safety event report analysis … This study compares four large language models (LLM) to analyze PSE reports accurately. … Large parameter models generally performed better than smaller models but took significantly longer to … Developing an evaluation strategy to assess large language models for patient safety event report analysis

19. Characterization of adverse events detected in a large health care delivery system using an enhanced Global Trigger Tool over a five-year interval. | PSNet
    psnet.ahrq.gov/issue/characterization-adverse-events-detected-large-health-care-delivery-system-using-enhanced
    May 25, 2013 - Study Characterization of adverse events detected in a large health care delivery … Characterization of adverse events detected in a large health care delivery system using an enhanced … Surgical and procedural complications accounted for a large portion of adverse events in the hospital … February 1, 2011 Implementing SBAR across a large multihospital health system. … January 3, 2017 Large-scale deployment of the Global Trigger Tool across a large hospital

20. Accuracy of a proprietary large language model in labeling obstetric incident reports. | PSNet
    psnet.ahrq.gov/issue/accuracy-proprietary-large-language-model-labeling-obstetric-incident-reports
    September 23, 2020 - Study Accuracy of a proprietary large language model in labeling obstetric incident … Accuracy of a proprietary large language model in labeling obstetric incident reports. … This study used the large language model (LLM) ChatGPT-3.5 in a secure environment to label a sample … Accuracy of a proprietary large language model in labeling obstetric incident reports.