NHS Clinical Platform | Confidential
An AI-enabled ICU platform associated with 149 clinical hours reclaimed per day.
This confidential engagement focused on an AI-enabled ICU platform. The work addressed how doctors and nurses interpret organ-level clinical data, how the interface distinguishes AI-generated information from manual amendments, and how a family-facing view could support understanding of a patient's condition.
Challenges
The platform needed to represent the condition of each organ clearly while supporting high-pressure clinical decisions. The experience also required an explicit boundary between AI interpretation, clinical data and clinician-authored amendments.
Design Responsibility
I worked through the clinical data model and ICU workflows in detail, defining how organ-level information should be structured, compared and communicated for clinicians, with a separate route for family comprehension.
Expedia Group
UXCoE leadership for a unified no-code experience across 20+ Data & AI interfaces.
At Expedia Group, I worked first as a Product Manager and later as UX Lead, leading the User Experience Centre of Excellence for Data & AI. The remit combined product strategy, design leadership and platform-level consistency.
Challenges
ML engineers, ML scientists, data analysts and data scientists worked across complex internal tools. The experience needed to support specialist workflows without requiring users to relearn patterns when moving between products.
Design Responsibility
I designed 20+ employee-facing interfaces, owned three flagship internal products across the ML Platform and Data Platform, and led a model-governance initiative connecting product and design decisions.


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