TRAVIS WILDS

Human-Centered Research & Design
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03


New Product: Designing for Machine Learning


Product Team Collaboration, Research and Design for a Health Services Bundling Tool












Medium-fidelity, public-facing UI wireframes show the integration of “Related procedures” and confidence scores into the existing Medicare Cost Estimator tool. 
Client   
WETG
Challenge
Through machine learning, we can create bundles of health services that consumers commonly receive together. But how can we surface bundles in a way that addresses real healthcare pain points? And how might we ensure that bundles are surfaced to medical experts so that they can evaluate the bundles for usefulness and safety? 
Approach
  • Expert interviews & comparator analyses
  • Solutioning workshops
  • Content design
  • Research and design input on product decision-making
  • Front-end testing
Role
Sole researcher & product team member
Output
  • Clickable prototype
  • Content mockups
  • A working validation tool


The interface to the expert-facing validation tool allows medical experts who are reviewing bundles to search claims codes, add related procedures to a bundle, rate and comment. 

Cargo Collective 2017 — Frogtown, Los Angeles