Training pattern recognition of skin lesion morphology, configuration, and distribution  

Oleh:

Rimoin, Lauren ; Altieri, Lisa ; Craft, Noah ; Krasne, Sally ; Kellman, Philip J.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: JAAD: Journal of the American Academy of Dermatology (keterangan: ada di ClinicalKey) vol. 72 no. 03 (Mar. 2015), page 489-495.
Topik: adaptive learning; dermatology; diagnosis; experiential learning; lesion configuration; lesion distribution; lesion morphology; pattern recognition; perceptual learning; skin lesions

Ketersediaan

Perpustakaan FK Nomor Panggil: J15.K Non-tandon: tidak ada Tandon: 1

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Isi artikel

Background The ability to reliably recognize and classify a range of skin signs and symptoms remains a necessary skill across most clinical disciplines but one that is traditionally mastered via nonsystematic experience over long periods. Objective We investigated whether online Perceptual and Adaptive Learning Modules (PALMs) could efficiently train preclerkship medical students to identify and discriminate primary skin lesion morphologies, configurations, and anatomic distributions. Methods Medical students completed an online skin lesion morphology PALM voluntarily in year 1 and by requirement, along with configuration and anatomic distribution PALMs, in year 2. In controlled before-and-after studies, multiple-choice pretests and posttests using previously unused images, assessed PALM-induced learning. In prospective cohort studies, differences in year-2 performance between students who had and had not completed the morphology PALM in year 1 were also assessed. Results Multiple-choice tests, used to evaluate PALM effectiveness, demonstrated large (effect sizes of 1.1 [±0.1 SE] to 2.2 [±0.1 SE]) and statistically significant (P < .0001) improvements after PALM training, with learning retention when tested after 1 year. Limitations Results are from self-selected groups and a single class at 1 institution. Conclusion PALMs are a useful tool for efficient development of the core clinical skills of pattern recognition and classification of skin lesion characteristics.

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