Some images blurred for confidentiality reasons
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Overview & Situation
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One of the UX teams I led was creating the GE Healthcare AI platform, and assisting with strategic AI solutions, such as Edison Smart Scheduler and Xray Critical Care Suite.
However, AI experiences across GE product areas (ultrasound, Xray, radiology software, MRI, etc) were inconsistent in how they referred to AI, notified users, and visually displayed AI findings. GE had no unified interactions or AI "brand". My Role I was Director of UX, project manager, and author: led the design and research groups, drove a strategy shift with VPs, partnered with product team leadership, led workshops, and created first pattern documentation. Duration 2 months to v1 patterns. 9 months to v2 patterns. |
AI Care Pathway app
(blurred for confidentiality)
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Opportunities & Obstacles
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I had an opportunity to drive a shared understanding with AI platform leadership and with teams implementing AI, that a unified UX for AI across products would create more value for GE and our users.
The platform VP's initially said design was up to the implementing product teams: the platform was just a service. However, the product team leadership said they would follow any standards we created. I gained broad agreement that the company would benefit from AI standards and branding. And, agreement that the platform team and UX group had the best visibility across the AI portfolio. The platform product managers agreed to participate in the the upcoming AI workshop. By the end of the project they were partnered with UX on design governance of the portfolio. |
Edison AI vision
AI Platform delivery roadmap
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Actions: Discovery research
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Before we could formulate interaction standards we needed to know how healthcare providers perceived the value of AI and how they wanted to engage with it.
My team led the first AI research with global healthcare providers, in India, Europe, and the US, representing multiple healthcare institutions. AI receptivity and notification preferences varied by region, hospital policy, and workload of the radiologists. We distilled the findings into a simplified core workflow and a set of archetypes based on these dimensions. |
Imaging AI user simplified journey
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Actions: Stakeholder Alignment & Scope
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I led a worldwide 2 day workshop with Product and UX leaders, aligning on principles and interaction patterns based on our early research, and covering consistent AI wording/tone/voice, notifications, iconography, and visual representation of AI findings.
We built a unified roadmap of AI features across these product teams, prioritized next steps for design and research based on product team needs, and aligned on dates and expectations. We then published the first version of the AI standards on eds.gehealthcare.com, obtained broader feedback, and began executing against the agreed design and research plan. |
AI visualization guidance - v1 document
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Draw Toast kickoff: www.drawtoast.com
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Global workshop via Miro & video
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Pattern ideas & needs from product groups
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Aligned Product roadmaps & UX Research & Design next steps
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Actions: Refine & Expand Guidance
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We needed to revise and enhance the visual, iconographic, and content guidance, as well as conduct targeted research to evaluate our updates.
Based on the plan and timeline we had created with our partner teams, My UX team and I led multiple activities: a company-wide AI icon challenge, cross-org visual design working group, and deeper research with radiologists. Based on these workshops and deeper research with radiologists, we broadened and refined our visual standards, notification guidance, and final iconography. |
AI visual pattern in GE Universal Viewer
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Evaluation of visualization approaches with healthcare providers
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Icon design challenge: how to represent AI without text
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Outcomes: Publish, Product Launch, & Awards
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23 product teams building AI features agreed to adopt the standards, and our flagship products Universal Viewer and Xray Critical Care Suite launched with our interaction and visual AI standards.
We published these patterns and guidance in the Edison Design System, we patented a number of UX patterns, and we won a DMI Design Value Award for our AI design patterns & process in 2020. 
Edison Design System homepage
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DMI Value Award submission
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