EleMed
UI/UX Design, 2023
Prototype

(Close)

EleMed is a medication reminder system that uses users’ existing morning routines to reduce missed doses. Instead of relying on time-based notifications, EleMed triggers reminders based on real-world actions and habits.

Research

User Personas

We started out by exploring three potential user groups:

Young adults in university between 18-30 years-old.
Elderly individuals between 65-85 years-old.
Loved-ones of the medication users who support them in adhering.

User Persona #1

User Persona #2

User Persona #3

User Resesarch

We used a questionnaire to gather preliminary data regarding individuals routines in taking their medication. The data we collected helped us create a mobile platform for the medication adherence mobile app.

We also used a diary log to gather contextual information about the morning routines of people who take medication. We recruited four participants (three females, one male) who take daily medication or supplements. Each participant was instructed to record every action, from the moment they woke up to when they considered their morning routine to end.

Research revealed that most users relied on inconsistent time-based reminders and often forgot medication during routine disruptions. Participants also tended to associate medication with existing morning habits such as brushing teeth, making coffee, or preparing for work.

Design Process

User Flows

We created user flow diagrams outlining for general app navigation, onboarding, adding medication reminders, and setting up context reminders. Shown is an example of the flows for the onboarding process as well as adding a new medication. The onboarding process was an essential flow to document because onboarding would involve inputting a variety of information and learning about the product as a whole.

User Flow: Onboarding

User Flow: Add New Medication

Low Fidelity Wireframes

Based on the feature list and task analyses, a matching set of initial wireframes was produced. These wireframes helped to expose flaws in the task analyses/designs of key user flows during usability testing, informing the design of the high-fidelity prototypes that followed. Shown is a set of low fidelity wireframes for the onboarding process.

Low-Fidelity Screens: Onboarding

Final Designs

Visual Identity

Using the brand name as inspiration, we incorporated the elephant and pill/medication capsule into a recognizable graphic mark. The elephant recognizes Tufts’ mascott as well as the idea that an elephant never forgets.

Design System

Login/Sign Up

Feature Explanation

Add Medications

Set Up Medication Sensor

Set Up Context Sensor

Pair Sensors

App Interface

Conclusion

Future development for EleMed would focus on usability testing, expanding routine flexibility, and supporting more complex caregiving scenarios. Testing the high-fidelity prototype with a broader range of users would provide insight into how the system adapts across different routines, ages, and lifestyles. Future iterations of the platform could also expand beyond morning routines to support contextual reminders throughout the day. Additionally, the system could be adapted to support users who both manage their own medication and act as caregivers for others.
Overall, this project reinforced the importance of designing around existing human behaviors rather than expecting users to adapt to rigid systems. Through user research and iterative prototyping, I gained a deeper understanding of how contextual cues, routines, and environmental factors influence adherence and interaction. EleMed also strengthened my ability to translate behavioral research into a cohesive digital system that balances usability, flexibility, and clarity.

(Close)