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DEPICT
DePICT: Welcome
DePICT (Dermatology Photography Instructions Complementing Telemedicine )
A project to increase physician's ability to manage and diagnose patients via teledermatology by improving the quality of patient-submitted photos.
Background
During the Covid-19 pandemic there has been a significant increase in teledermatology visits.
Patient-submitted photographs can be of insufficient quality to allow the physician to make a diagnosis [1].
A physician's ability to make a diagnosis via teledermatology may increase when patients receive instructions on how to better take photos of their skin condition [1,2].
Problem
Patient-submitted photos can be of insufficient quality, making management and diagnosis difficult, and necessitating additional work to obtain better photos.
Goal
To increase a physician's ability to manage and diagnose patients via teledermatology by improving the quality of patient-submitted photos.
Interventions
Create patient photography instructions in several formats: video, text, and diagrams, and translate into multiple languages.
Determine whether these instructions improve the quality of patient-submitted photographs.
Determine whether patient photo instructions increase the physician's ability to make management decisions and diagnoses.
Define a minimum set of patient instructions needed to improve photo quality and physician's management and diagnostic ability.
Results
We are currently collecting post-intervention data.
Resources
Our work is licensed under Creative Commons Attribution License. Please give credit to UCSF Dermatology QI team by linking to dermquality.org
References
O'Connor DM., et.al. Diagnostic Accuracy of Pediatric Teledermatology Using Parent-Submitted Photographs A Randomized Clinical Trial. JAMA Dermatol 2017;153(12):1243-1248.
Philip et.al. Pediatric Teledermatology Consultations: Relationship Between Provided Data and Diagnosis. Pediatric Dermatology 2013; 30(5): 561–567.
DePICT: Text
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