RESUMO
While social medicine education is a long-established field of study within medical education,1 implementation has historically been through elective coursework making integration, assessment, and evaluation challenging. The launch of the novel Washington University in St. Louis School of Medicine Gateway curriculum, with guiding principles that required curriculum content to be integrated, learning-centered, sustainable, competency-based, and outcomes-oriented, supported the creation of the Health Equity and Justice (HEJ) curriculum. This innovative curriculum adhered to the guiding principles, addressed the current limitations in social medicine education, and allowed for the flexibility that social medicine education requires. Additionally, the Gateway HEJ curriculum presented an opportunity to explore novel ways of assessing medical students, as well as illuminating additional opportunities for faculty development to ensure fidelity to the HEJ content. This paper includes the process of development as well as the lessons learned, limitations, and future plans for iterative improvements to the curriculum.
RESUMO
BACKGROUND: Women in medicine have reported gender-specific obstacles to career success, such as a dearth of mentors and role models. Pediatric emergency medicine (PEM) is a female-dominated subspecialty of pediatrics yet is still impacted by gender inequality in many areas. No previous study has explored mentoring experiences of women PEM physicians and the impact on their career trajectory. We sought to explore the experiences of female PEM physicians with mentorship to determine aspects of mentoring that were successful or unsuccessful. METHODS: This was a qualitative study with criterion sampling of female PEM physicians. Members of the American Academy of Pediatrics Section of Emergency Medicine completed semistructured interviews in 2022, recorded and transcribed verbatim. Our research team consisted of 3 PEM physicians. Using the constant comparative method, we analyzed transcripts by inductively developing codes, grouping codes into categories, and refining codes, descriptions, and group assignments to identify themes. Interpretations of and relationships among themes were iteratively discussed and revised by the team. RESULTS: Twenty-two participants were interviewed via telephone. The mean age of participants was 44 years old, and the majority (73%) identified as White, non-Hispanic, and at the rank of assistant professor (45%). Four themes were identified: (1) benefits of mentorship (recognition of need for mentorship and finding professional success), (2) finding mentors (processes to find mentors and mentor roles), (3) characteristics of successful mentors (personal and professional), and (4) impact of mentorship (career advancement or career sabotage). CONCLUSIONS: We identified 4 themes that could be incorporated into mentoring programs and are associated with successful experiences for women PEM physicians. The detail and descriptions in our data provide guidance for mentoring programs that specifically address the needs of women in PEM.
Assuntos
Tutoria , Mentores , Médicas , Pesquisa Qualitativa , Humanos , Feminino , Médicas/psicologia , Adulto , Medicina de Emergência Pediátrica , Entrevistas como Assunto , Medicina de Emergência/educação , Pessoa de Meia-Idade , Pediatria/educação , Estados UnidosRESUMO
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. A systematic and comprehensive search across PubMed/MEDLINE, EMBASE, and MedEdPublish was conducted without date or language restrictions. Publications included in the review spanned undergraduate, graduate, and continuing medical education, encompassing both original studies and perspective pieces. Data were charted by multiple author pairs and synthesized into various thematic maps and charts, ensuring a broad and detailed representation of the current landscape. RESULTS: The review synthesized 278 publications, with a majority (68%) from North American and European regions. The studies covered diverse AI applications in medical education, such as AI for admissions, teaching, assessment, and clinical reasoning. The review highlighted AI's varied roles, from augmenting traditional educational methods to introducing innovative practices, and underscores the urgent need for ethical guidelines in AI's application in medical education. CONCLUSION: The current literature has been charted. The findings underscore the need for ongoing research to explore uncharted areas and address potential risks associated with AI use in medical education. This work serves as a foundational resource for educators, policymakers, and researchers in navigating AI's evolving role in medical education. A framework to support future high utility reporting is proposed, the FACETS framework.