Feb - May, 2020
Syashi, Isabel, Maddy- Industry based project. Feedback from IBM Watson designers
Seeing someone close who has undiagnosed chronic condition move from doctor to doctor without any successful diagnoses is heart-wrenching. Initially our class went through drills to closely understand ML/AI technology specifically IBM Watson's ML capabilities in healthcare. It was through published research and talking to a number of patients we knew with chronic illness, that in a group of three- Isabel, Maddy, and I decided to utilize our position as a designers to create something for patients with multiple chronic illness using machine learning capabilities.
As the project was collaborative it is hard to say that I worked solely on these things because there was a lot back and forth between team members. Here I tried to present what I mostly worked on.
I went through
- Compiling research and talking to patients
- Making personas in collaboration with Isabel
- Creating User Journey as is and after Careo
- Comparing Personas
- Wireframing and sketching ideas
- Multiple rounds of prototyping
- Scenario video creation
How might a design harness machine learning capabilities to enable a patient with chronic conditions to translate, prioritize, and analyze their data into a useful and understandable format — prior to a doctor’s visit?
Jean receives a notification from Careo, her health app, reminding her that she has an appointment with a sleep specialist in a few days. She clicks on the notification to review the appointment details and her data insight dashboard.
Initial Wireframing and Prototyping
Went through storyboarding and sketching phase for the initial. Maddy did most of the story boards. For wireframe sketching presented here are all my sketches:-
Prototyping- I worked on these initial iterations and then for the final versions worked together with Isabel.