Publications by authors named "Michelle Daniel"

Purpose: To avoid overreliance on metrics and better identify candidates who add value to the learning environment, some medical schools and residency programs have begun using holistic review for screening and selection, but limited data support or refute this use. This scoping review examines holistic review definitions and practice in medical education, summarizes research findings, and identifies gaps for future research.

Method: The authors searched 7 databases using the keywords holistic, attributes, mission-based, mission-centric , and socially accountable for articles on holistic review within undergraduate medical education (UME) and graduate medical education (GME) published from database inception through July 5, 2024.

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Although most students complete Step 1 before clerkships, some institutions delay the exam until after clerkships. The change to pass/fail grading adds additional complexity that should be considered when deciding about exam timing. Both early and late administration may affect learning outcomes, learner behavior, student well-being, and residency match success.

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Introduction: Human trafficking (HT) is a public health issue that adversely affects patients' well-being. Despite the prevalence of trafficked persons in health care settings, a lack of educational modules exists for use in clinical contexts. We developed a 50-minute train-the-trainer module on HT.

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Mastery learning with fixed end points and variable training time leads to more consistent expertise but is difficult to implement. Here we piloted mastery learning of laryngoscopy with independent practice. 35 learners participated in independent mastery learning on a manikin that provides automated performance feedback.

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Background: Coaching has been demonstrated to be an effective physician wellness intervention. However, this evidence-based intervention has not yet been widely adopted in the physician community. Documentation and implementation research of interventions to address physician burnout in real world settings is much needed.

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From dual process to a family of theories known collectively as situativity, both micro and macro theories of cognition inform our current understanding of clinical reasoning (CR) and error. CR is a complex process that occurs in a complex environment, and a nuanced, expansive, integrated model of these theories is necessary to fully understand how CR is performed in the present day and in the future. In this perspective, we present these individual theories along with figures and descriptive cases for purposes of comparison before exploring the implications of a transtheoretical model of these theories for teaching, assessment, and research in CR and error.

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 Clinical reasoning is essential to physicians' competence, yet assessment of clinical reasoning remains a significant challenge. Clinical reasoning is a complex, evolving, non-linear, context-driven, and content-specific construct which arguably cannot be assessed at one point in time or with a single method. This has posed challenges for educators for many decades, despite significant development of individual assessment methods.

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There is increasing interest in understanding potential bias in medical education. We used natural language processing (NLP) to evaluate potential bias in clinical clerkship evaluations. Data from medical evaluations and administrative databases for medical students enrolled in third-year clinical clerkship rotations across two academic years.

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Background: Artificial Intelligence (AI) is rapidly transforming healthcare, and there is a critical need for a nuanced understanding of how AI is reshaping teaching, learning, and educational practice in medical education. This review aimed to map the literature regarding AI applications in medical education, core areas of findings, potential candidates for formal systematic review and gaps for future research.

Methods: This rapid scoping review, conducted over 16 weeks, employed Arksey and O'Malley's framework and adhered to STORIES and BEME guidelines.

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Educational Challenge: Each year, adverse events are reported in healthcare, of which many relate to healthcare workforce cognitive bias. The active involvement of workforce and consumers in the review and co-design of effective training for the healthcare workforce to recognise, monitor, and manage unconscious bias is required.

Proposed Solution: We used participatory action research to co-design an innovative, interprofessional simulation based on 'real world' clinical incidents and lived experiences to improve the delivery of safe, high quality, consumer-focused healthcare.

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Importance: Procedural proficiency is a core competency for graduate medical education; however, procedural reporting often relies on manual workflows that are duplicative and generate data whose validity and accuracy are difficult to assess. Failure to accurately gather these data can impede learner progression, delay procedures, and negatively impact patient safety.

Objective: To examine accuracy and procedure logging completeness of a system that extracts procedural data from an electronic health record system and uploads these data securely to an application used by many residency programs for accreditation.

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Multiplexed imaging enables the simultaneous spatial profiling of dozens of biological molecules in tissues at single-cell resolution. Extracting biologically relevant information, such as the spatial distribution of cell phenotypes from multiplexed tissue imaging data, involves a number of computational tasks, including image segmentation, feature extraction and spatially resolved single-cell analysis. Here, we present an end-to-end workflow for multiplexed tissue image processing and analysis that integrates previously developed computational tools to enable these tasks in a user-friendly and customizable fashion.

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Objectives: In acute care settings, interactions between providers and tools drive clinical decision-making. Most studies of decision-making focus on individual cognition and fail to capture critical collaborations. Distributed Cognition (DCog) theory provides a framework for examining the dispersal of tasks among agents and artifacts, enhancing the investigation of decision-making and error.

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Background: The COVID-19 pandemic caused graduate medical education (GME) programs to pivot to virtual interviews (VIs) for recruitment and selection. This systematic review synthesizes the rapidly expanding evidence base on VIs, providing insights into preferred formats, strengths, and weaknesses.

Methods: PubMed/MEDLINE, Scopus, ERIC, PsycINFO, MedEdPublish, and Google Scholar were searched from 1 January 2012 to 21 February 2022.

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Background: Prior reviews investigated medical education developments in response to COVID-19, identifying the pivot to remote learning as a key area for future investigation. This review synthesized online learning developments aimed at replacing previously face-to-face 'classroom' activities for postgraduate learners.

Methods: Four online databases (CINAHL, Embase, PsychINFO, and PubMed) and MedEdPublish were searched through 21 December 2020.

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According to adult learning theories, effective cognitive integration of basic and clinical science may promote the transfer of knowledge to patient care. The placement of the U.S.

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Background: The COVID-19 pandemic spurred an abrupt transition away from in-person educational activities. This systematic review investigated the pivot to online learning for nonclinical undergraduate medical education (UGME) activities and explored descriptions of educational offerings deployed, their impact, and lessons learned.

Methods: The authors systematically searched four online databases and conducted a manual electronic search of MedEdPublish up to December 21, 2020.

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Background: The novel coronavirus disease was declared a pandemic in March 2020, which necessitated adaptations to medical education. This systematic review synthesises published reports of medical educational developments and innovations that pivot to online learning from workplace-based clinical learning in response to the pandemic. The objectives were to synthesise what adaptations/innovation were implemented (description), their impact (justification), and 'how' and 'why' these were selected (explanation and rationale).

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Introduction: Uncertainty is integral to clinical practice and clinical reasoning but has proven difficult to study and model. Little is known about how clinicians manage uncertainty. According to evidence-based medicine theory, clinicians should utilise new information to reduce uncertainty until reaching action thresholds for further information gathering or treatment.

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Introduction: Diagnostic processes in the emergency department (ED) involve multiple interactions among individuals who interface with information systems to access and record information. A better understanding of diagnostic processes is needed to mitigate errors. This paper describes a study protocol to map diagnostic processes in the ED as a foundation for developing future error mitigation strategies.

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The National Board of Medical Examiners' decision to change Step 1 of the United States Medical Licensing Examination (USMLE) from a three-digit score to Pass/Fail (P/F) represents a disruptive change for students, faculty, and leaders in the academic community. In the context of this change, some schools may re-consider the optimal timing of Step 1 as they strive to align their assessment practices with sound educational principles. Currently, over 20 schools administer USMLE Step 1 after the core clerkships.

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