Literature DB >> 14872352

Digital technology enhances dermatology teaching in a family medicine residency.

Robert S Fawcett1, Eric J Widmaier, Sally H Cavanaugh.   

Abstract

BACKGROUND AND OBJECTIVES: Exposure of family medicine residents to dermatology is inconsistent. We encourage residents to record skin lesions using digital photographs, which are made into posters displaying clinical information.
METHODS: Residents submit diagnoses for each poster, and correct diagnoses are then posted. A semiannual 10-case quiz compares the scores of participating residents with nonparticipants.
RESULTS: On the first three semiannual quizzes, participants and nonparticipants have scored, respectively, 68% and 48%, 73% and 55%, and 77% and 65%.
CONCLUSIONS: Residents' ability to make dermatologic diagnoses improved from participation in an inexpensive, easily administered program using digitally displayed skin problems.

Entities:  

Mesh:

Year:  2004        PMID: 14872352

Source DB:  PubMed          Journal:  Fam Med        ISSN: 0742-3225            Impact factor:   1.756


  4 in total

1.  Development of clinical sign based algorithms for community based assessment of omphalitis.

Authors:  L C Mullany; G L Darmstadt; J Katz; S K Khatry; S C LeClerq; R K Adhikari; J M Tielsch
Journal:  Arch Dis Child Fetal Neonatal Ed       Date:  2005-10-13       Impact factor: 5.747

2.  What We Do and Do Not Know about Teaching Medical Image Interpretation.

Authors:  Ellen M Kok; Koos van Geel; Jeroen J G van Merriënboer; Simon G F Robben
Journal:  Front Psychol       Date:  2017-03-03

3.  Image Based Teaching and Computer Assisted - Image Based Assessment for Undergraduate Medical Students in Dermatology Clinics amidst the COVID-19 Pandemic: Students' Perspectives.

Authors:  Vijayasankar Palaniappan; Keerthi Subramaniam; Kaliaperumal Karthikeyan; Raghavan Sindhuri
Journal:  Indian Dermatol Online J       Date:  2022-05-05

4.  Role of Clinical Images Based Teaching as a Supplement to Conventional Clinical Teaching in Dermatology.

Authors:  Gurumoorthy Rajesh Kumar; Sankar Madhavi; Kaliaperumal Karthikeyan; M R Thirunavakarasu
Journal:  Indian J Dermatol       Date:  2015 Nov-Dec       Impact factor: 1.494

  4 in total

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