Michel Azar Doris Houng Joshua Kohn Jocelyn Naylor Brian Tennity

* Studies show that side effects of drugs and drug interactions are responsible for 7% of hospital admissions * When left alone, very serious complications can develop, and adverse drug reactions (ADRs) can account for an unexpectedly large percentage of patient deaths * Patients need all the tools they can get to help them research their own health problems, as the medical industry isn’t always able to catch problems before serious complications occur

* Most common style– enter medications, and look at any problems that interactions between the medications could cause * This example comes from the AARP website * Does not allow for user profiles and thus can’t check for personalized symptoms and risks

*Rxplore, created by Dr. Jon Duke, is most similar to our product *Allows doctors to check the probability of a patient’s symptoms being caused by a prescription regimen *We intend to make our product more for the patients, rather than doctors

* A model to predict how likely it is that a user’s symptoms are caused by medications or drug interactions * Based on personalized medical history * Account creation allows users to change their medications without having to re-enter information

* Simplicity is key * Once an account has been established, the only two screens a user interacts with are the log-in page and the dashboard

First page a user encounters– log in or create an account Users create an account by entering all required fields

Dashboard *Includes an option to log out, a table of symptoms, and an easy-to-update list of medications *Table consists of symptom name, drug that could be causing it, and probability that the symptom and medication are related

* Three tasks related to the same fictional person * Testing the functionality and aesthetic appeal of the product, as well as the ease with which users can complete common tasks * Tasks included creating an account, adding medications, searching for symptoms, changing medications, and finding probabilities associated with symptoms

* Pre-test Questionnaire: General questions about the user’s age, gender, experience with technology/the internet, and whether the user takes medications * Post-test Questionnaire: Several questions related to the aesthetic appeal and the ease with which the tasks were performed, rated from 1 (high) to 7 (low). * Would you use this product if it were released to the public?

* Common suggestions: * Use brand names for medications * Redesign product so that less scrolling is required * Organize symptoms more efficiently/allow the user to personalize symptoms that may be in the list

* This product can be further developed * Coming back to our original goals, we would like the user to have a very personal experience using this product * Users should be able to search for symptoms, or at least personalize the order in which symptoms are listed * Symptoms that are related to drug interactions or allergies and chronic illnesses should also be included, on a personalized level * Expand database of medications

* Allow users to submit feedback * Users should be given a point of contact to whom they can submit any complaints, problems, questions, suggestions or positive comments * Allow users to filter symptoms after adding a medication

* We would like to thank our usability test subjects, Professor Shneiderman and Tak Yeon Lee, and, most of all, our wonderful mentors: * Dr. Dean Sitting- University of Texas * Dr. Allison McCoy- University of Texas * Dr. Adam Wright- Clinical Decision Support Consortium * Additionally, we would like to thank Dr. Jon Duke of the Regenstrief Institute of Indiana University for providing us with data on drug interactions for our database.