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A Schematic Representation of the Professional Identity Formation and Socialization of Medical Students and Residents: A Guide for Medical Educators
Abstract
Recent calls to focus on identity formation in medicine propose that educators establish as a goal of medical education the support and guidance of students and residents as they develop their professional identity. Those entering medical school arrive with a personal identity formed since birth. As they proceed through the educational continuum, they successively develop the identity of a medical student, a resident, and a physician. Each individual's journey from layperson to skilled professional is unique and is affected by "who they are" at the beginning and "who they wish to become."Identity formation is a dynamic process achieved through socialization; it results in individuals joining the medical community of practice. Multiple factors within and outside of the educational system affect the formation of an individual's professional identity. Each learner reacts to different factors in her or his own fashion, with the anticipated outcome being the emergence of a professional identity. However, the inherent logic in the related processes of professional identity formation and socialization may be obscured by their complexity and the large number of factors involved.Drawing on the identity formation and socialization literature, as well as experience gained in teaching professionalism, the authors developed schematic representations of these processes. They adapted them to the medical context to guide educators as they initiate educational interventions, which aim to explicitly support professional identity formation and the ultimate goal of medical education-to ensure that medical students and residents come to "think, act, and feel like a physician."
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“According to Cruess et al [130], students may develop “identity dissonance” when components of their identity as physicians conflict with their identity as laypersons.”
From Dangers and Benefits of Social Media on E-Professionalism of Health Care Professionals: Scoping Review (2021) · cites this paper as [130]
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Hunderfund, A. N. L., Dyrbye, L. N., Starr, S. R., Mandrekar, J. N., Tilburt, J. C., George, P., Baxley, E. G., Gonzalo, J. D., Moriates, C. P., Goold, S. D., et al. (2018) · BMC Medical Education · doi:10.1186/s12909-018-1388-7 · Cited by 41
Metadata
- Authors
- Cruess, R. L., Cruess, S. R., Boudreau, J. D., Snell, L., & Steinert, Y.
- Affiliations
- McGill University (CA)
- Corresponding author
- Cruess, Richard L.
- Cruess, Sylvia R.
- Venue
- Academic Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06
- Volume
- 90
- Issue
- 6
- Pages
- 718-725
- ISSN
- 1040-2446 (ISSN-L)
- OpenAlex
- W1997378480
- Cited by
- 1,038
- References
- 62
- Citations by year
- 2026: 197 · 2025: 99 · 2024: 121 · 2023: 118 · 2022: 120 · 2021: 96 · 2020: 84 · 2019: 62 · 2018: 64 · 2017: 31 · 2016: 39 · 2015: 7
- FWCI
- 50.29
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Academic Medicine (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Education › Innovations in Medical Education
- Health Sciences › Medicine › Psychiatry and Mental health › Empathy and Medical Education
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- professional identity formation, professional socialization, medical students, medical residents, teacher professionalism, medical education, communities of practice, schematic representation, identity construction
- MeSH terms
- Education, Medical, Graduate, Education, Medical, Undergraduate, Humans, Internship and Residency, Self Concept, Social Identification, Socialization, Students, Medical
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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