Diagnostic recognition of facial changes associated with chronic conditions: use of an e-learning tool to enhance medical student education.
Facial characteristics serve as reliable indicators of numerous diseases, and their recognition can assist junior medical students in making an accurate diagnosis. At present, however, there is little data to support the incorporation of physiognomy in medical education. This pilot study involved the design, implementation and evaluation of e-learning tutorials as a means of teaching students to appreciate how careful observation of facial characteristics can enhance diagnosis.
McKenna
Danielle
D
University of Dundee, UK. info@danimckenna.com
Wilkinson
Caroline
C
Ker
Jean
J
D000172:Acromegaly; D000222:Adaptation, Physiological; D000223:Adaptation, Psychological; D001341:Autonomic Nervous System; D002908:Chronic Disease; D003194:Computer-Assisted Instruction; D003479:Curriculum; D003625:Data Collection; D004504:Education, Medical, Undergraduate / Q000379:methods*; D005149:Facial Expression; D006801:Humans; D010300:Parkinson Disease; D010826:Physiognomy; D010865:Pilot Projects; D013312:Stress, Physiological; D013315:Stress, Psychological; D013337:Students, Medical; D013663:Teaching