How data can deliver for dermatology

• Type of Material: Article
• Authors: Katrina Abuabara, University of California San Francisco; Maryam M. Asgari, Harvard Medical School; Suephy Chen, Emory University; Robert P. Dellavalle, University of Colorado; Sunil Kalia, University of British Columbia; Aaron M. Secrest, University of Utah; Jonathan I. Silverberg, Northwestern Feinberg School of Medicine; James A. Solomon, University of Central Florida; Martin A. Weinstock, Veteran Affairs Medical Center; Jashin J. Wu, Kaiser Permanente Los Angeles Medical Center; Mary-Margaret Chren, University of California San Francisco
• Language: English
• Date: 2018-08-01
• Publisher: Elsevier: 12 months
• Publication Version: Author Accepted Manuscript (After Peer Review)
• Copyright Statement: © 2018 by the American Academy of Dermatology, Inc.
• License: Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.1016/j.jaad.2018.03.020
• Title of Journal or Parent Work: Journal of The American Academy of Dermatology
• ISSN: 0190-9622
• Volume: 79
• Issue: 2
• Start Page: 400
• End Page: 402
• Grant/Funding Information: None
• Keywords: Science & Technology; PATIENT-REPORTED OUTCOMES; Life Sciences & Biomedicine; BIG DATA; Dermatology
• Research Categories: Health Sciences, Epidemiology; Health Sciences, Medicine and Surgery

Abstract

Much has been written about big data in medicine, but few articles have focused on the potential for better data to transform dermatology.1 We provide a conceptual framework for how technologic advances could enable standardized data collection and analysis from patient-provider encounters and improve patient care, advance our understanding of dermatologic diseases, and streamline billing and reimbursement. We also briefly address some of the challenges unique to dermatology, though our primary goal is to describe the rationale for supporting improvements in routine clinical data collection.