Fitzpatrick's Derm Flash Cards vs LCAST

Derived from Fitzpatrick's Color Atlas and Synopsis of Clinical Dermatology, these flashcards represent 150 of the most commonly seen dermatologic problems and 100 rare or challenging cases. Each image includes diagnosis, clinical manifestation, differential diagnosis, and management. This app is very intuitive and easy to navigate, allowing you to browse the contents or search for topics. The powerful search tool gives you word suggestions that appear in the text as you type, so it is lightning fast and helps with spelling those long medical terms. The search tool also keeps a recent history of past search terms so you can go back to a previous search result very easily. You can bookmark cards as Know and Don't Know to help you study. You can create notes for cards and images to enhance your learning. You can also change the text size for easier reading. There is also a Q&A section in this app that will allow you to test your knowledge. After the app has been downloaded, no internet connection is needed to retrieve the content of the app. All of the text and images are available to you on your device anytime, anywhere, and lightning fast. This app is also automatically optimized for whatever size device you are currently using, either phone or tablet. Check out https://usatinemedia.com to learn more and watch a video demo of this app. This interactive app contains the full content of Fitzpatrick's Dermatology Flash Cards by McGraw-Hill Education. ISBN-13: 978-0071794169 ISBN-10: 0071794166 Authors: Klaus Wolff, MD, FRCP Professor and Chairman Emeritus Department of Dermatology Medical University of Vienna Chief Emeritus, Dermatology Service Department of Dermatology Medical University of Vienna/General Hospital of Vienna Vienna, Austria Richard Allen Johnson, MD Assistant Professor of Dermatology Harvard Medical School Dermatologist Massachusetts General Hospital Boston, Massachusetts Arturo P. Saavedra, MD, PhD, MBA Assistant Professor in Dermatology, Dermatopathology and Medicine Department of Dermatology Brigham and Women's Hospital Harvard Medical School Boston, Massachusetts Disclaimer: This app is intended for the education of healthcare professionals and not as a diagnostic and treatment reference for the general population. Developed by Usatine Media Richard P. Usatine, MD, Co-President, Professor of Family & Community Medicine, Professor of Dermatology and Cutaneous Surgery, University of Texas Health San Antonio Peter Erickson, Co-President, Lead Software Developer

The Lurie Children’s Child Injury Plausibility Assessment Support Tool (LCAST) is an app based on a validated Bruising Clinical Decision Rule (BCDR) called the TEN-4-FACESp. Use of this tool has the potential to improve recognition of abuse in young children with bruising. This app functions only as a screening tool and cannot be used to diagnose abuse. The app applies to children less than 4.0 years of age with bruising. If the child is older than 4.0 and/or bruising is not present, this tool cannot be used. In those circumstances, alternative methods of screening for abuse are needed. WHY FOCUS ON BRUISING? Bruising is the most common injury resulting from physical abuse and is the most overlooked or misdiagnosed antecedent injury prior to an abuse-related fatality or near-fatality in a young child. Bruising occurs from both accidental and abusive trauma, but differences identified by the TEN-4-FACESp bruising clinical decision rule may allow improved and earlier recognition of the abused child. ABOUT THE APP: The app is intended for clinical use by licensed healthcare professionals and providers. The app can inform decision-making and be used as an educational tool for learning about bruising characteristics that commonly result from abusive and accidental injury. The core feature of the app is an interactive 3D body model that allows the user to utilize visual cues of the human body to input clinical observations. The result is the opportunity to compare a child’s bruise findings to the published evidence resulting from a NIH-funded multi-center study. The data that drive the app are based on 2,161 patients of which 410 (19%) were classified by a multi-disciplinary panel of medical experts as abuse and 1,713 (79%) as accident. The TEN-4-FACESp bruising clinical decision rule resulted from analysis of 35 body regions and is 96% specific and 87% sensitive for distinguishing bruising from abuse versus accident. The TEN-4-FACESp has three components based on: 1) specific body regions with bruising, 2) patterned bruising, and 3) bruising anywhere on non-mobile infants. An affirmative finding for any one of the three TEN-4-FACESp components without a clear and reasonable explanation indicates a potential risk for abuse. The child may warrant further evaluation and consultation with an expert in child abuse should be considered. In addition to using the data in this app, the user should always check with a doctor before making any medical decisions.