  Clinical images are vital for diagnosing and monitoring skin diseases, and
their importance has increased with the growing popularity of machine learning.
Lack of standards has stifled innovation in dermatological imaging, unlike
other image-intensive specialties such as radiology. We investigate the
meta-requirements for utilizing the popular DICOM standard for metadata
management of images in dermatology. We propose practical design solutions and
provide open-source tools to integrate dermatologists' workflow with enterprise
imaging systems. Using the tool, dermatologists can tag, search, organize and
convert clinical images to the DICOM format. We believe that our less
disruptive approach will improve the adoption of standards in the specialty.
