Year
2016
Client
Philips
Category
Redesign
Product Duration
4 months
To understand how clinicians used the CT dashboard, I conducted in-context observations inside imaging departments, shadowing technologists during real scan prep and execution. I complemented this with semi-structured interviews across three hospitals, capturing challenges around protocol selection, parameter visibility, and cognitive load. Workflow-mapping workshops with clinical and engineering stakeholders helped visualize the full CT process and pinpoint high-risk friction points. A heuristic evaluation of the existing dashboard rounded out the research, giving us a clear, evidence-based picture of where the experience broke down and where redesign efforts would create the most impact.
Using the research insights, I defined key opportunity areas such as reducing cognitive load, clarifying scan parameters, and improving alert prioritization. I led co-design workshops with technologists, radiologists, and product partners to generate early concepts, then translated the strongest ideas into low-fidelity sketches and wireframes. Through quick concept validation sessions, I refined mental models and eliminated unnecessary complexity. A feasibility-impact matrix helped the team converge on a focused set of design directions that balanced user needs, technical constraints, and clinical safety—forming the foundation for the final redesign.
With validated concepts in place, I translated the workflows into a clear, high-visibility interface designed for fast, error-free decision-making. I created mid- to high-fidelity wireframes using a modular layout system that prioritized critical scan parameters, alerts, and workflow actions. The UI emphasized hierarchy, contrast, and clinical readability, aligning with Philips’ design system while introducing new components tailored to radiology needs. I iterated quickly through usability testing sessions, refining label clarity, alert prominence, and information grouping. The final UI balanced clinical precision with simplicity—reducing cognitive load and improving scan prep efficiency across varied CT scenarios.
