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Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees

Overview of attention for article published in Journal of Cutaneous Pathology, July 2016
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Title
Development of a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees
Published in
Journal of Cutaneous Pathology, July 2016
DOI 10.1111/cup.12760
Pubmed ID
Authors

Michael J. Murphy, Neda Shahriari, Michael Payette, Laila Mnayer, Zendee Elaba

Abstract

Results of molecular studies are redefining the diagnosis and management of a wide range of skin disorders. Dermatology training programs maintain a relative gap in relevant teaching. To develop a curriculum in molecular diagnostics, genomics and personalized medicine for dermatology trainees at our institution. The aim is to provide trainees with a specialty-appropriate, working knowledge in clinical molecular dermatology. The Departments of Dermatology and Pathology and Laboratory Medicine collaborated on the design and implementation of educational objectives and teaching modalities for the new curriculum. A multidisciplinary curriculum was developed. It comprises: (i) assigned reading from the medical literature and reference textbook; (ii) review of teaching sets; (iii) two 1 hour lectures; (iv) trainee presentations; (v) 1-week rotation in a clinical molecular pathology and cytogenetics laboratory; and (vi) assessments and feedback. Residents who participated in the curriculum to date have found the experience to be of value. Our curriculum provides a framework for other dermatology residency programs to develop their own specific approach to molecular diagnostics education. Such training will provide a foundation for lifelong learning as molecular testing evolves and becomes integral to the practice of dermatology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 15%
Other 3 12%
Professor > Associate Professor 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 4 15%
Unknown 9 35%
Readers by discipline Count As %
Medicine and Dentistry 6 23%
Biochemistry, Genetics and Molecular Biology 2 8%
Computer Science 2 8%
Arts and Humanities 1 4%
Agricultural and Biological Sciences 1 4%
Other 6 23%
Unknown 8 31%