Results

Total Results: over 10,000 records

Showing results for "learned".

4881. Bad things can happen: are medical students aware of patient centered care and safety? | PSNet
      psnet.ahrq.gov/issue/bad-things-can-happen-are-medical-students-aware-patient-centered-care-and-safety
      July 06, 2022 - Study Bad things can happen: are medical students aware of patient centered care and safety? Citation Text: Gillissen A, Kochanek T, Zupanic M, et al. Bad things can happen: are medical students aware of patient centered care and safety? Diagnosis (Berl). 2023;10(2):110-120. doi:10.1515/…

4882. Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. | PSNet
      psnet.ahrq.gov/issue/diagnostic-assessment-deep-learning-algorithms-detection-lymph-node-metastases-women-breast
      June 27, 2018 - Study Classic Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer. Citation Text: Bejnordi BE, Veta M, van Diest PJ, et al. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph …

4883. The 2017 ACGME common work hour standards: promoting physician learning and professional development in a safe, humane environment. | PSNet
      psnet.ahrq.gov/issue/2017-acgme-common-work-hour-standards-promoting-physician-learning-and-professional
      October 19, 2022 - Commentary The 2017 ACGME common work hour standards: promoting physician learning and professional development in a safe, humane environment. Citation Text: Burchiel KJ, Zetterman RK, Ludmerer KM, et al. The 2017 ACGME Common Work Hour Standards: Promoting Physician Learning and Profess…

4884. Clinical informatics team members' perspectives on health information technology safety after experiential learning and safety process development: qualitative descriptive study. | PSNet
      psnet.ahrq.gov/issue/clinical-informatics-team-members-perspectives-health-information-technology-safety-after
      September 04, 2024 - Study Clinical informatics team members' perspectives on health information technology safety after experiential learning and safety process development: qualitative descriptive study. Citation Text: Recsky C, Rush KL, MacPhee M, et al. Clinical informatics team members' perspectives on …

4885. Enhancing patient safety in prehospital environment: analyzing patient perspectives on non-transport decisions with natural language processing and machine learning. | PSNet
      psnet.ahrq.gov/issue/enhancing-patient-safety-prehospital-environment-analyzing-patient-perspectives-non-transport
      September 20, 2017 - Study Enhancing patient safety in prehospital environment: analyzing patient perspectives on non-transport decisions with natural language processing and machine learning. Citation Text: Farhat H, Alinier G, Tluli R, et al. Enhancing patient safety in prehospital environment: analyzing p…

4886. Analysis of the nature and contributory factors of medication safety incidents following hospital discharge using National Reporting and Learning System (NRLS) data from England and Wales: a multi-method study. | PSNet
      psnet.ahrq.gov/issue/analysis-nature-and-contributory-factors-medication-safety-incidents-following-hospital
      October 25, 2023 - Study Analysis of the nature and contributory factors of medication safety incidents following hospital discharge using National Reporting and Learning System (NRLS) data from England and Wales: a multi-method study. Citation Text: Alqenae FA, Steinke DT, Carson-Stevens A, et al. Analysi…

4887. The harm susceptibility model: a method to prioritise risks identified in patient safety reporting systems. | PSNet
      psnet.ahrq.gov/issue/harm-susceptibility-model-method-prioritise-risks-identified-patient-safety-reporting-systems
      December 29, 2014 - Study The harm susceptibility model: a method to prioritise risks identified in patient safety reporting systems. Citation Text: Pham JC, Colantuoni E, Dominici F, et al. The harm susceptibility model: a method to prioritise risks identified in patient safety reporting systems. Qual Sa…

4888. Improving patient safety governance and systems through learning from successes and failures: qualitative surveys and interviews with international experts. | PSNet
      psnet.ahrq.gov/issue/improving-patient-safety-governance-and-systems-through-learning-successes-and-failures
      May 08, 2017 - Study Improving patient safety governance and systems through learning from successes and failures: qualitative surveys and interviews with international experts. Citation Text: Hibbert PD, Stewart S, Wiles LK, et al. Improving patient safety governance and systems through learning from …

4889. USA, MA, Boston | Digital Healthcare Research
      digital.ahrq.gov/location/usa-ma-boston
      January 01, 2023 - USA, MA, Boston Complexity, Incidence, and Costs Related to Delayed Diagnosis of Venous Thromboembolism in Urban and Rural Primary and Urgent Care Settings Description This research aims to improve the early detection of venous thromboembolism in primary and urgent care by usi…

4890. Clinical supervision in general practice training: the interweaving of supervisor, trainee and patient entrustment with clinical oversight, patient safety and trainee learning. | PSNet
      psnet.ahrq.gov/issue/clinical-supervision-general-practice-training-interweaving-supervisor-trainee-and-patient
      October 13, 2021 - Study Clinical supervision in general practice training: the interweaving of supervisor, trainee and patient entrustment with clinical oversight, patient safety and trainee learning. Citation Text: Sturman N, Parker M, Jorm C. Clinical supervision in general practice training: the interw…

4891. Pediatrics | Digital Healthcare Research
      digital.ahrq.gov/type-care/pediatrics
      January 01, 2023 - Pediatrics Bedside Notes: A Multicenter Trial to Improve Family Clinical Note Access and Outcomes for Hospitalized Children Description This research will evaluate the effectiveness of Bedside Notes, a digital health solution designed to provide caregivers with real-time acces…

4892. A comprehensive overview of medical error in hospitals using incident-reporting systems, patient complaints and chart review of inpatient deaths. | PSNet
      psnet.ahrq.gov/issue/comprehensive-overview-medical-error-hospitals-using-incident-reporting-systems-patient
      October 16, 2013 - Study A comprehensive overview of medical error in hospitals using incident-reporting systems, patient complaints and chart review of inpatient deaths. Citation Text: de Feijter JM, de Grave WS, Muijtjens AM, et al. A comprehensive overview of medical error in hospitals using incident-r…

4893. Discussion of medical errors in morbidity and mortality conferences. | PSNet
      psnet.ahrq.gov/issue/discussion-medical-errors-morbidity-and-mortality-conferences
      August 04, 2015 - Study Classic Discussion of medical errors in morbidity and mortality conferences. Citation Text: Pierluissi E, Fischer M, Campbell AR, et al. Discussion of medical errors in morbidity and mortality conferences. JAMA. 2003;290(21):2838-2842. Copy Citation …

4894. Trends in healthcare incident reporting and relationship to safety and quality data in acute hospitals: results from the National Reporting and Learning System. | PSNet
      psnet.ahrq.gov/issue/trends-healthcare-incident-reporting-and-relationship-safety-and-quality-data-acute-hospitals
      March 28, 2011 - Study Trends in healthcare incident reporting and relationship to safety and quality data in acute hospitals: results from the National Reporting and Learning System. Citation Text: Hutchinson A, Young TA, Cooper KL, et al. Trends in healthcare incident reporting and relationship to sa…

4895. Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. | PSNet
      psnet.ahrq.gov/issue/artificial-intelligence-versus-clinicians-systematic-review-design-reporting-standards-and
      May 20, 2019 - Review Classic Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies. Citation Text: Nagendran M, Chen Y, Lovejoy CA, et al. Artificial intelligence versus clinicians: systematic review o…

4896. Using clinical simulation to study how to improve quality and safety in healthcare. | PSNet
      psnet.ahrq.gov/issue/using-clinical-simulation-study-how-improve-quality-and-safety-healthcare
      March 31, 2021 - Review Classic Using clinical simulation to study how to improve quality and safety in healthcare. Citation Text: Lamé G, Dixon-Woods M. Using clinical simulation to study how to improve quality and safety in healthcare. BMJ Simul Technol Enhanc Learn. 2018;6(2)…

4897. Associations of physicians’ prescribing experience, work hours, and workload with prescription errors. | PSNet
      psnet.ahrq.gov/issue/associations-physicians-prescribing-experience-work-hours-and-workload-prescription-errors
      July 21, 2021 - Study Associations of physicians’ prescribing experience, work hours, and workload with prescription errors. Citation Text: Leviatan I, Oberman B, Zimlichman E, et al. Associations of physicians’ prescribing experience, work hours, and workload with prescription errors. J Am Med Inform A…

4898. Undergraduate baccalaureate nursing students' self-reported confidence in learning about patient safety in the classroom and clinical settings: an annual cross-sectional study (2010–2013). | PSNet
      psnet.ahrq.gov/issue/undergraduate-baccalaureate-nursing-students-self-reported-confidence-learning-about-patient
      February 04, 2015 - Study Undergraduate baccalaureate nursing students' self-reported confidence in learning about patient safety in the classroom and clinical settings: an annual cross-sectional study (2010–2013). Citation Text: Lukewich J, Edge DS, Tranmer J, et al. Undergraduate baccalaureate nursing stu…

4899. Does learning from mistakes have to be painful? Analysis of 5 years' experience from the Leeds radiology educational cases meetings identifies common repetitive reporting errors and suggests acknowledging and celebrating excellence (ACE) as a more positive way of teaching the same lessons. | PSNet
      psnet.ahrq.gov/issue/does-learning-mistakes-have-be-painful-analysis-5-years-experience-leeds-radiology
      April 05, 2013 - Study Does learning from mistakes have to be painful? Analysis of 5 years' experience from the Leeds radiology educational cases meetings identifies common repetitive reporting errors and suggests acknowledging and celebrating excellence (ACE) as a more positive way of teaching the same lessons. …

4900. Wasserman, Richard | Digital Healthcare Research
      digital.ahrq.gov/principal-investigator/wasserman-richard
      January 01, 2023 - Wasserman, Richard National Center for Pediatric Practice Based Research and Learning - 2012 Principal Investigator Wasserman, Richard Project Name National Center for Pediatric Practice-Based Research and Learning