Introduction: Residency programmes are in transition to a framework for competency‐based medical education (CBME). The intersection of CBME with transformational learning (TL) experiences and professional identity formation (PIF) — particularly within senior learners in transitional states — is unknown but important to understand in order to develop and implement strategies to support trainees' professional development. Methods: Through inductive qualitative methods, we conducted semi‐structured interviews ( n = 22) of current trainees and recent graduates from adult cardiology residency training programmes within Canada to explore the impact of TL experiences on residents' professional growth and identity formation. Interviews were analysed using thematic analysis informed by TL theory. Results: CBME did not appear to influence trainees' experiences of disorienting dilemmas and TL. Important clinical encounters and interpersonal relationships — in particular, those between mentor and mentee — shaped trainees' professional development as cardiologists (‘enabling factors’ for TL and PIF). ‘Imposter phenomenon’ was widely prevalent in our sample study population even among graduates who had already completed their training. Requisite elements for transformation (disorienting dilemmas, critical reflection, discourse and action) also contributed to PIF. Discussion: TL experiences influenced PIF in senior learners but infrequently intersected with CBME; these experiences were more commonly prompted by disorienting dilemmas relating to clinical outcomes or interpersonal interactions independent of CBME‐specific architecture.

Access to practice opportunities for history-taking in undergraduate medical education can be resource-limited. Large language models are a potential avenue to address this. This study sought to characterize changes in learner self-reported confidence with history-taking before and after a simulation with an LLM-based patient and understand learner experience with and the acceptability of virtual LLM-based patients. This was a multi-method study conducted at McMaster University. Simulations were facilitated with the OSCEai tool. Data was collected through surveys with a Likert scale and open-ended questions and semi-structured interviews. A total of 24 participants generated 93 survey responses and 17 interviews. Overall, participants reported a 14.6% increase in comfort with history-taking. Strengths included its flexibility, accessibility, detailed feedback, and ability to provide a judgement-free space to practice. Limitations included its lower fidelity compared to standardized patients and at times repetitive and less clinically relevant feedback as compared to preceptors. It was overall viewed best as a supplement rather than a replacement for standardized patients. In conclusion, LLM-based virtual patients were feasible and valued as an adjunct tool. They can support scalable, personalized practice. Future work is needed to understand objective metrics of improvement and to design curricular strategies for integration.

Introduction: Professional Identity Formation (PIF) entails the integration of a profession’s core values and beliefs with an individual’s existing identity and values. Within undergraduate medical education (UGME), the cultivation of PIF is a key objective. The COVID-19 pandemic brought about substantial sociocultural challenges to UGME. Existing explorations into the repercussions of COVID-19 on PIF in UGME have predominantly adopted an individualistic approach. We sought to examine how the COVID-19 pandemic influenced PIF in UGME from a sociocultural perspective. This study aims to provide valuable insights for effectively nurturing PIF in future disruptive scenarios. Methods: Semi structured interviews were conducted with medical students from the graduating class of 2022 (n = 7) and class of 2023 (n = 13) on their medical education experiences during the pandemic and its impact on their PIF. We used the Transformation in Medical Education (TIME) framework to develop the interview guide. Direct content analysis was used for data analysis. Results: The COVID-19 pandemic significantly impacted the UGME experience, causing disruptions such as an abrupt shift to online learning, increased social isolation, and limited in-person opportunities. Medical students felt disconnected from peers, educators, and the clinical setting. In the clerkship stage, students recognized knowledge gaps, producing a “late blooming” effect. There was increased awareness for self-care and burnout prevention. Discussion: Our study suggests that pandemic disruptors delayed PIF owing largely to slower acquisition of skills/knowledge and impaired socialization with the medical community. This highlights the crucial role of sociocultural experiences in developing PIF in UGME. PIF is a dynamic and adaptable process that was preserved during the COVID-19 pandemic.

Introduction: Health professions training programmes face increasing reports of professionalism lapses, which can delay, or end, trainee progression. How programmes respond to professionalism lapses to facilitate professional identity development has not been clarified. The objective of this study is to identify factors that facilitate and impair transformations around professionalism lapses in health professions training programmes. Methods: We conducted a qualitative study interviewing 5 faculty and 20 trainees with firsthand or secondhand experience with professionalism lapses from a range of health professions training programmes at McMaster University. Using reflexive thematic analysis, we coded verbatim transcripts informed by the lenses of social and transformative learning theories. We constructed themes through iterative and comparative analysis, seeking meaningful variation across professions and triangulating faculty and trainee perspectives. Results: Four themes were constructed. First, lapses are in the eye of the beholder with personal definitions intersecting with institutional and situation norms. Difficulties exist in recognising and convincing trainees to respond to lapses that are perceived to be minor or subject to interpretation. Second, responses to professionalism lapses occurred within power hierarchies, which impacted how trainees reacted to the remediation process, risked superficial trainee responses to concerns and led to concerns around inequitable treatment in how standards were applied. Third, fostering transformation involves building trainee confidence, agency, trust and engagement. Focused support and advocacy for trainees can empower and promote agency in tackling disorienting lapses. Fourth, perspective shifts involve deep engagement over time, including but not limited to self‐reflection, structured discussion and seeking support. Discussion: Identifying and addressing professionalism lapses is complex and requires nuanced and contextual exploration of personal, institutional and situational dynamics at play. By fostering environments that promote genuine reflection and dialogue and focus on building trainee confidence, agency, trust and engagement, health professions training programmes can better support trainees in navigating these complex situations and contribute to the broader goal of socialising to a professional culture and practice.

Large language model-enabled virtual patients may expand access to clinical skills practice by supporting explicitly defined practice tasks. This program evaluation examined medical students’ awareness, use, and perceptions of the McMaster Virtual SP Tool, a custom generative artificial intelligence tool developed to supplement clinical skills practice. We conducted an anonymous, single-institution cross-sectional survey of students across three cohorts at McMaster University. Quantitative responses were summarized descriptively, and free-text responses were analyzed using qualitative content analysis informed by task-aligned fidelity, deliberate practice, learner-centred feedback, and simulation instructional design. Thirty-five students responded; 23 (65.7%) were aware of the tool and 16 (45.7%) had used it. Among the 16 users, 15/16 (93.8%) found the tool at least somewhat easy to navigate; 13 (81.3%) would use it again; and 13 (81.3%) would recommend it. Across all respondents, 14/35 (40.0%) reported using AI-enabled virtual patients for OSCE preparation. Users valued its accessibility, independent low-stakes rehearsal, and usefulness for focused history-taking, question wording, and clinical reasoning. Perceived limitations included reduced human connection, nonverbal and emotional realism, physical examination practice, and feedback specificity. AI-enabled virtual patients may therefore be considered as adjuncts for selected cognitive and structural rehearsal tasks. Objective educational outcomes were not assessed.