Our Research Question

How might an interface harness machine learning to enable a patient to understand and act upon their own healthcare data?

This project looks ahead to a day when patients own and control their own healthcare data via a single, secure, comprehensive access point. IBM is experimenting with using blockchain to secure this data. Watson capabilities might include recommendation systems, textual analysis, etc. Secondary consideration: how might the patient interact with data in natural, intuitive ways (not just point and click charts and lists?)

Over the course of the semester our MGD studio collaborated with a team at IBM Watson Health, led by Debi Ndindjock, to find out.

Key Questions to Consider:

  • How might an interface harness ML to provide the patient with ownership and agency in relation to their healthcare data?
  • What does it mean to create an interface that is useful, usable and desirable to a certain individual, in a particular context, in a specific moment in time? 
  • What privacy issues are at stake? How might the experience support ethical data use?
  • What issues of trust are at stake? How might the experience establish (and earn) patient trust?
  • How might the interface value human difference, addressing user pain points through a customized, adaptive experience?

 

Scenario Videos of Student Work

Student Designers: Isabel Bo-Linn, Syashi Gupta, Maddy Kelly

Student Designers: Eryn Pierce, Jack Ratterree, Gloria Jing

The Research Process

Project launch with IBM. Students created a Possibilities Matrix in which the mapped research opportunities to ML capabilities

 

Students conducted user and expert interviews plus secondary research

 

Based on this research, each team developed personas and scenarios

 

The student benchmarked existing application in the data collection and/or personal healthcare space.

 

They create user journey maps of the current user experience to begin to identify possibilties

 

Began sketching ideas.

 

Created storyboards of initial concepts.

 

Created roughs and wireframes

 

Created user journey maps to diagram the new experience

 

User tested rough prototypes and conducted additional user interviews

 

And, to share their project, created hi-fi prototypes and scenario videos.