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Celia Laird O’Brien

Biographic Data

ID7719465
NAMECelia Laird O’Brien
GIVEN NAMESCelia Laird
FAMILY NAMEO’Brien
SIGNATUREO’BRIEN C L
AFFILIATIONSis assistant dean, Northwestern University School of Medicine, Chicago, Illinois C.L. O’Brien ; [email protected]
ORCID0000-0001-9352-4417
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
AUTHOR COUNT7
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0
  • Clerkship Assessment Reliability Based on Assessor Type and Assessor-Student Contact Frequency

    Christopher D Mattson, Celia Laird O’Brien et al.•ARTICLE•Academic Medicine•2025

  • Getting Ready for Residency

    Hannah L Mallaro, Celia Laird O’Brien et al.•ARTICLE•Academic Medicine•2025

  • Diversity, inclusion, and bias in Continuing Medical Education activities

    Open Access•Melissa Bregger, Celia Laird O’Brien et al.•ARTICLE•Medical Education Online•2025

    These findings suggest that some CME activity learners perceive various forms of bias and lack of inclusivity and diversity despite efforts to review and mitigate bias in the planning and delivery of CME. While most CME activity learners were satisfied with speaker and content diversity, the data can inform more targeted efforts during the CME planning phase that focus on speaker and content diversity and screening for bias that goes beyond tradi…

  • Precision Education

    Open Access•Sanjay V Desai, Jesse Burk-Rafel et al.•ARTICLE•Academic Medicine•2024

    The goal of medical education is to produce a physician workforce capable of delivering high-quality equitable care to diverse patient populations and communities. To achieve this aim amidst explosive growth in medical knowledge and increasingly complex medical care, a system of personalized and continuous learning, assessment, and feedback for trainees and practicing physicians is urgently needed. In this perspective, the authors build on prior …

  • Using Natural Language Processing to Visualize Narrative Feedback in a Medical Student Performance Dashboard

    Open Access•Christina Maimone, Brigid M Dolan et al.•ARTICLE•Academic Medicine•2024

  • Recommendations to address and research systemic bias in assessment

    Open Access•Fei Chen, Celia Laird O’Brien et al.•ARTICLE•Medical Education Online•2024

    While limited to data from a single workshop, the results offered perspectives about areas for further research shared by a group of directors of medical education research units from diverse backgrounds. The workshop produced valuable insights into the need for more evidence-based interventions that promote more equitable assessment practices grounded in real-world situations and that attenuate the effects of bias

  • Automated Assessment of Medical Students’ Competency-Based Performance Using Natural Language Processing (NLP)

    Christina Maimone, Brigid M Dolan et al.•ARTICLE•Academic Medicine•2022

    Assessment systems in competency-based medical education increasingly rely on narrative feedback to describe learner performance. 1 When collected over time, learner portfolios include hundreds of narrative comments describing behavioral performance such as communication and teamwork that are not evident in categorical ratings or quantitative assessments alone. However, this large volume of data makes summative competency assessment both time and…

No prominent works on this page.

  • Automated Assessment of Medical Students’ Competency-Based Performance Using Natural Language Processing (NLP)

    Christina Maimone, Brigid M Dolan et al.•ARTICLE•Academic Medicine•2022

    Assessment systems in competency-based medical education increasingly rely on narrative feedback to describe learner performance. 1 When collected over time, learner portfolios include hundreds of narrative comments describing behavioral performance such as communication and teamwork that are not evident in categorical ratings or quantitative assessments alone. However, this large volume of data makes summative competency assessment both time and…

  • Precision Education

    Open Access•Sanjay V Desai, Jesse Burk-Rafel et al.•ARTICLE•Academic Medicine•2024

    The goal of medical education is to produce a physician workforce capable of delivering high-quality equitable care to diverse patient populations and communities. To achieve this aim amidst explosive growth in medical knowledge and increasingly complex medical care, a system of personalized and continuous learning, assessment, and feedback for trainees and practicing physicians is urgently needed. In this perspective, the authors build on prior …

  • Using Natural Language Processing to Visualize Narrative Feedback in a Medical Student Performance Dashboard

    Open Access•Christina Maimone, Brigid M Dolan et al.•ARTICLE•Academic Medicine•2024

  • Recommendations to address and research systemic bias in assessment

    Open Access•Fei Chen, Celia Laird O’Brien et al.•ARTICLE•Medical Education Online•2024

    While limited to data from a single workshop, the results offered perspectives about areas for further research shared by a group of directors of medical education research units from diverse backgrounds. The workshop produced valuable insights into the need for more evidence-based interventions that promote more equitable assessment practices grounded in real-world situations and that attenuate the effects of bias

  • Clerkship Assessment Reliability Based on Assessor Type and Assessor-Student Contact Frequency

    Christopher D Mattson, Celia Laird O’Brien et al.•ARTICLE•Academic Medicine•2025

  • Getting Ready for Residency

    Hannah L Mallaro, Celia Laird O’Brien et al.•ARTICLE•Academic Medicine•2025

  • Diversity, inclusion, and bias in Continuing Medical Education activities

    Open Access•Melissa Bregger, Celia Laird O’Brien et al.•ARTICLE•Medical Education Online•2025

    These findings suggest that some CME activity learners perceive various forms of bias and lack of inclusivity and diversity despite efforts to review and mitigate bias in the planning and delivery of CME. While most CME activity learners were satisfied with speaker and content diversity, the data can inform more targeted efforts during the CME planning phase that focus on speaker and content diversity and screening for bias that goes beyond tradi…

Innovations in Medical Education (7 works) · Medical education (7 works) · Medicine (7 works) · Psychology (7 works) · Medical Education and Admissions (4 works) · Computer Science (3 works) · Accreditation (2 works) · Clinical Reasoning and Diagnostic Skills (2 works) · Curriculum (2 works) · Data science (2 works)

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