VanderbiltDDx vs Dr. Lex

The VanderbiltDDx Case Simulator (“App”) helps users to practice and refine their diagnostic skills. It creates realistic, fun, easy-to-evaluate adult (age 16-75+) patient cases. The intended audience includes medical, nursing, physician assistant, and other health professional students; physicians undergoing residency and fellowship training; nurses in advanced practice training; and practicing health professionals. The App generates cases using a large, evidence-based, literature- derived knowledge base (630+ disorders seen by internists, 4500+ findings). To construct each simulated case, the App randomly selects logically consistent findings based on how often the literature indicates the findings occur in patients with the targeted disorder. Vanderbilt is distributing the App free-of-charge via its Portal on the App Store for use in clinical education. The App, once installed, is self-contained on users’ iOS devices. It does not transmit any information about the user or use of the App. Typical App workflow is as follows: (1) User sets difficulty level/clinical focus; starts random simulated case. (2) App randomly selects a disorder and displays initial set of findings. (3) User, via App, elicits additional findings (i.e., works up case). (4) App shows potential diagnoses matching known case findings. (5) App indicates how well the known case findings support or refute selected hypotheses. User identifies their three most favored hypotheses. (6) User rates “strength of evidence” supporting top three hypotheses. (7) App discloses answer and assesses user’s performance. (8) User gains knowledge by reviewing disorder-related information. Users can provide feedback to the development team regarding bugs and suggestions to make the App more useful. Send such comments to: vanderbiltddx@icloud.com The App’s primary developer, Randolph A. Miller, MD, is Professor Emeritus of Biomedical Informatics and Medicine at Vanderbilt University School of Medicine. He was the founding Chair of Vanderbilt’s Department of Biomedical Informatics and is a Past President of both the American Medical Informatics Association (AMIA), and the American College of Medical Informatics.

Dr. Lex is an interactive virtual patient diagnosis simulator and augmented intelligence clinical decision support platform. It is designed for medical professionals and students to help in training advanced diagnostic skills by applying the most engaging methodologies. Members solve quizzes, unlock difficulty levels, participate in competition events, earn score points and get ranked based on results. The AI diagnostic decision support tool allows medical specialists and students to analyze medical cases provided in unstructured text format and voice dictation. All suggestions are provided with appropriate reasonings for users to learn and sharpen their diagnostic skills. The underlying medical knowledge of Dr. Lex is based on publicly available published statistical data, medical articles and summarized national e-health databases. CAUTION The services in the app are intended exclusively for healthcare professionals. Those services shall not be used by patients or non-healthcare professionals for diagnosis or any other purposes. DISCLAIMER Dr. Lex cannot provide medical diagnosis. All services are intended for informational purposes only. Healthcare professionals must use their own discretion when making diagnosis decisions.