Fettle
Oct 2022 - Dec 2022
UI/UX Design
Individual Work
Figma
Driven by personal experiences, particularly a grandfather's experience with a chronic illness, we are designing this app in collaboration with medical professionals. This app is based on Artificial Intelligence and Machine Learning, aims to be a game-changer in the healthcare industry. Its envisioned purpose is to facilitate early detection and intervention for chronic diseases, promoting a proactive approach to healthcare.
This project was nominated for The UX Design Awards in 2023.
Background
Chronic illnesses often have complex symptoms that may not be easily diagnosed, leading to delayed treatment and negative health outcomes. Patients with chronic illnesses may need to make significant lifestyle changes, such as adopting a healthier diet or increasing physical activity, in order to manage their condition. These illnesses account for 70% of deaths in the United States and are responsible for the loss of over 1.7 million American lives each year.
In the healthcare field, artificial intelligence and machine learning algorithms are being utilized to identify patterns in medical images and patient data, allowing for more accurate predictions about the presence or likelihood of specific conditions or diseases.
How does AI achieve that?
Initial Brainstorm
During the initial brainstorm for the app, a critical analysis was undertaken to understand the pain points individuals face within the health industry. Through surveys and user feedback, it became evident that many grapple with issues ranging from access to timely care to navigating complex medical jargon.
After that I delved into the health industry and AI through secondary research. AI's strengths in swift data processing and predictive analytics are revolutionizing patient care. However, challenges like data privacy concerns and potential misdiagnoses temper its promise. With these insights, the app's design aimed to leverage AI's potential while addressing its limitations.
Primary Research
To better understand the pain points of users throughout the entire consultation process, I conducted primary research by dividing the user experience into three parts: before, during, and after hospital. I developed three main questions to guide my research and gathered insightful results. By analyzing the data, I was able to identify the specific pain points that users face at each stage of the consultation process.
Interview
I conducted in-depth interviews with four individuals experienced in the disease and a medical student, gaining valuable insights into patients' specific challenges and pain points when dealing with medical issues. These insights informed the design of the AI and machine learning-based app.
Insights
Competitor Analysis
I conducted a thorough competitor analysis to understand the healthcare app market's competition. This involved researching and comparing the features, functionality, and user experience of several healthcare apps.
Position Matrix
User Journey Map
By identifying pain points at each stage, the app was developed to offer personalized guidance, reminders, and resources to help users navigate the healthcare system more easily. Whether it's providing users with educational resources before their consultation, offering appointment reminders, or tracking medication schedules, the app is designed to enhance the overall patient experience and promote proactive healthcare management.
User Flow
Mid Fidelity - Mobile
I designed mid-fidelity prototypes that allowed me to test the app's functionality and user experience. These prototypes included interactive wireframes and clickable designs that simulated the app's interface and functionality. This allowed me to conduct usability testing, identify potential issues, and make necessary adjustments before moving onto the high-fidelity design stage.
Mid Fidelity - Watch
User Test Feedback
Ecosystem
Mobile Navigation Bar
AI Online Consultation
Chat with our AI robot, Fettle, to learn more about your symptoms and possible diseases.
Quickly make an appointment with a nearby hospital to receive the care you need.
AI Online Consultation
Read articles written by experts to learn basic information about your disease, including:
1. a brief introduction
2. possible causes
3. the symptoms.
History Suggestion
Get a clear understanding of the detailed information
Quickly access the suggestions provided by Fettle in your history.
Report Analysis
The AI system will analyze the reports uploaded by the hospital, providing feedback and advice on how to improve your health conditions.
The doctors will review the AI's analysis of the report, and if there are any errors, the doctor will withdraw the analysis.
Check History Reports
To view the history of check tests, click to see all the information for that specific test
Risk Warning
Once the results of your report are available, the doctor will upload them into the system, and Fettle will analyze all potential risks, notifying you of any possible future diseases.Every step of the process involves physician intervention.
Daily Goals & Reminders
Check upcoming events and view further information
Keep daily goals in mind to prioritize important tasks.
Add Suggestions to Daily Goals
Long press the Suggestions to add the things mentioned in the suggestions to the Daily Goals
Daily Goals Notifications
Receive reminders if yesterday's goals were not completed
Be notified when a certain period of treatment has been completed.
Information & Settings
Change your information to allow the AI to make a more accurate diagnosis.
Change basic settings.
Register Process
Character Design
watchOS Design
Shows the upcoming events on the home screen, Check Notifications, Daily Goals and Report
Check Generall Information about the event
Check & Edit Daily Goals
Clearly showed the datas and statistics of the test reports
Notifications of updates of reports & Upcoming Events
When apple watch detects a problem with your body condition, it will feed back to the system and you can check it out on the mobile app.
