Michel Azar Doris Houng Joshua Kohn Jocelyn Naylor Brian Tennity

1. Michel Azar Doris Houng Joshua Kohn Jocelyn Naylor Brian Tennity

2. 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 The Problem

3. 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 Existing solutions

4. *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 Existing Solutions

5. 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 Our Solution

6. 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 The Product

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

8. 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

9. 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 Usability Tests

10. 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? Pre/Post-Test Questionnaire

11. 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 Results

12. 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 Future Plans for Functionality

13. 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 Future Plans for Site Design

14. We would like to thank our usability test subjects, Professor Shneiderman and TakYeon 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. Acknowledgements