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