Results

Total Results: over 10,000 records

Showing results for "learned".

4481. A machine learning approach to reclassifying miscellaneous patient safety event reports. | PSNet
      psnet.ahrq.gov/issue/machine-learning-approach-reclassifying-miscellaneous-patient-safety-event-reports
      July 22, 2020 - Study A machine learning approach to reclassifying miscellaneous patient safety event reports. Citation Text: Fong A, Behzad S, Pruitt Z, et al. A machine learning approach to reclassifying miscellaneous patient safety event reports. J Patient Saf. 2021;17(8):e829-e833. doi:10.1097/pts.0…

4482. Barriers to implementing a reporting and learning patient safety system: pediatric chiropractic perspective. | PSNet
      psnet.ahrq.gov/issue/barriers-implementing-reporting-and-learning-patient-safety-system-pediatric-chiropractic
      October 19, 2016 - Study Barriers to implementing a reporting and learning patient safety system: pediatric chiropractic perspective. Citation Text: Pohlman KA, Carroll L, Hartling L, et al. Barriers to Implementing a Reporting and Learning Patient Safety System: Pediatric Chiropractic Perspective. J Evid …

4483. Learning from experience: a qualitative study of surgeons' perspectives on reporting and dealing with serious adverse events. | PSNet
      psnet.ahrq.gov/issue/learning-experience-qualitative-study-surgeons-perspectives-reporting-and-dealing-serious
      June 12, 2024 - Study Learning from experience: a qualitative study of surgeons' perspectives on reporting and dealing with serious adverse events. Citation Text: Øyri SF, Søreide K, Søreide E, et al. Learning from experience: a qualitative study of surgeons’ perspectives on reporting and dealing with s…

4484. Learning from patient safety incidents in incident review meetings: organisational factors and indicators of analytic process effectiveness. | PSNet
      psnet.ahrq.gov/issue/learning-patient-safety-incidents-incident-review-meetings-organisational-factors-and
      December 29, 2014 - Study Learning from patient safety incidents in incident review meetings: organisational factors and indicators of analytic process effectiveness. Citation Text: Anderson JE, Kodate N. Learning from patient safety incidents in incident review meetings: Organisational factors and indicato…

4485. Diagnostic error in the emergency department: learning from national patient safety incident report analysis. | PSNet
      psnet.ahrq.gov/issue/diagnostic-error-emergency-department-learning-national-patient-safety-incident-report
      January 12, 2022 - Study Diagnostic error in the emergency department: learning from national patient safety incident report analysis. Citation Text: Hussain F, Cooper A, Carson-Stevens A, et al. Diagnostic error in the emergency department: learning from national patient safety incident report analysis. B…

4486. Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) | Digital Healthcare Research
      digital.ahrq.gov/funding-mechanism/health-information-technology-it-improve-health-care-quality-and-outcomes-r21
      January 01, 2023 - Health Information Technology (IT) to Improve Health Care Quality and Outcomes (R21) Machine Learning Validation of Medication Regimen Complexity for Critical Care Pharmacist Resource Prediction Description This research will develop and validate machine learning enhanced pred…

4487. Experience of learning from everyday work in daily safety huddles: a multi-method study. | PSNet
      psnet.ahrq.gov/issue/experience-learning-everyday-work-daily-safety-huddles-multi-method-study
      June 23, 2021 - Study Experience of learning from everyday work in daily safety huddles: a multi-method study. Citation Text: Wahl K, Stenmarker M, Ros A. Experience of learning from everyday work in daily safety huddles—a multi-method study. BMC Health Serv Res. 2022;22(1):1101. doi:10.1186/s12913-022-…

4488. Learning to overcome hierarchical pressures to achieve safer patient care: an interprofessional simulation for nursing, medical, and physician assistant students. | PSNet
      psnet.ahrq.gov/issue/learning-overcome-hierarchical-pressures-achieve-safer-patient-care-interprofessional
      November 18, 2016 - Commentary Learning to overcome hierarchical pressures to achieve safer patient care: an interprofessional simulation for nursing, medical, and physician assistant students. Citation Text: Reeves SA, Denault D, Huntington JT, et al. Learning to Overcome Hierarchical Pressures to Achieve …

4489. The Child Health PSO at 10 years: an emerging learning network. | PSNet
      psnet.ahrq.gov/issue/child-health-pso-10-years-emerging-learning-network
      July 28, 2021 - Commentary The Child Health PSO at 10 years: an emerging learning network. Citation Text: Levy FH, Conrad KA, Kemper C, et al. The Child Health PSO at 10 Years: an emerging learning network. Pediatr Qual Saf. 2021;6(4):e449. doi:10.1097/pq9.0000000000000449. Copy Citation Format: …

4490. Fifteen years after To Err Is Human: a success story to learn from. | PSNet
      psnet.ahrq.gov/issue/fifteen-years-after-err-human-success-story-learn
      August 04, 2021 - Commentary Fifteen years after To Err Is Human: a success story to learn from. Citation Text: Pronovost P, Cleeman JI, Wright D, et al. Fifteen years after To Err is Human: a success story to learn from. BMJ Qual Saf. 2016;25(6):396-9. doi:10.1136/bmjqs-2015-004720. Copy Citation F…

4491. Medication errors: how reliable are the severity ratings reported to the National Reporting and Learning System? | PSNet
      psnet.ahrq.gov/issue/medication-errors-how-reliable-are-severity-ratings-reported-national-reporting-and-learning
      September 09, 2015 - Study Medication errors: how reliable are the severity ratings reported to the National Reporting and Learning System? Citation Text: Williams SD, Ashcroft DM. Medication errors: how reliable are the severity ratings reported to the national reporting and learning system? Int J Qual He…

4492. Final Progress Report: Process Reliability and Organizational Learning in Home Health Care (pdf file)
      www.ahrq.gov/sites/default/files/2025-02/silver-report.pdf
      January 01, 2025 - • Based on lessons learned through intervention implementation, develop and disseminate toolkits that … It builds upon lessons learned in Module I.

4493. Results | Agency for Healthcare Research and Quality
      www.ahrq.gov/evidencenow/projects/heart-health/research-results/results/index.html
      March 01, 2023 - Results From infographics to published papers, the findings from EvidenceNOW will be shared here. Check back frequently to stay current with what we’re learning about putting evidence into practice, the experiences of small primary care practices, and the best ways to offer external support to improve primary c…

4494. Executive Summary | Agency for Healthcare Research and Quality
      www.ahrq.gov/diagnostic-safety/resources/issue-briefs/dxsafety-patients-source-understanding-dx-error-vol1-1.html
      June 01, 2023 - Patient Experience as a Source for Understanding the Origins, Impact, and Remediation of Diagnostic Errors Executive Summary Previous Page Next Page Table of Contents Patient Experience as a Source for Understanding the Origins, Impact, and Remediation of Diagnostic Errors Executive Summary Intr…

4495. Edmunds, Margaret | Digital Healthcare Research
      digital.ahrq.gov/principal-investigator/edmunds-margaret
      January 01, 2023 - Edmunds, Margaret Enabling open science for health research: collaborative informatics environment for learning on health outcomes (CIELO). Citation Payne P, Lele O, Johnson B, et al. Enabling open science for health research: collaborative informatics environment for learning…

4496. Electronic Data Methods (EDM) Forum: Second Phase (U18) | Digital Healthcare Research
      digital.ahrq.gov/funding-mechanism/electronic-data-methods-edm-forum-second-phase-u18
      January 01, 2023 - Electronic Data Methods (EDM) Forum: Second Phase (U18) Enabling open science for health research: collaborative informatics environment for learning on health outcomes (CIELO). Citation Payne P, Lele O, Johnson B, et al. Enabling open science for health research: collaborativ…

4497. EvidenceNOW: Southwest Cooperative | Agency for Healthcare Research and Quality
      www.ahrq.gov/evidencenow/projects/heart-health/about/cooperatives/southwest.html
      March 01, 2021 - Disseminate the findings to key local, regional, and national stakeholders, including sharing ongoing lessons learned

4498. Timing the Distribution of a Healthcare Quality Report | Agency for Healthcare Research and Quality
      www.ahrq.gov/talkingquality/distribute/timing/index.html
      March 01, 2016 - Timing the Distribution of a Healthcare Quality Report Information is more likely to be useful if consumers have it during the period in which they are making a decision. While this sounds simple and obvious, it is not that easy to do: You may not know when people need the information. It may be difficult…

4499. A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health. | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/advancing-population-and-public-health-reporting-and-outcomes-vaccination-data-exchange-approve/citation/model
      January 01, 2024 - A model of academic-practice collaboration for facilitating informatics capacity and building a learning health system framework in public health. Citation Rajamani S, Solarz S, Muscoplat MH, Schmit AD, Gonderinger A, Brueske C, Fritz J, Emerson E, Melton GB. A model of academic-practice collaboration…

4500. Early identification of epilepsy surgery candidates: A multicenter, machine learning study. | Digital Healthcare Research
      digital.ahrq.gov/ahrq-funded-projects/optimal-methods-notifying-clinicians-about-epilepsy-surgery-patients/citation/early
      January 01, 2023 - Early identification of epilepsy surgery candidates: A multicenter, machine learning study. Citation Wissel BD, Greiner HM, Glauser TA, Pestian JP, Kemme AJ, Santel D, Ficker DM, Mangano FT, Szczesniak RD, Dexheimer JW. Early identification of epilepsy surgery candidates: A multicenter, machine learni…