ui · user research · prototyping · ia & flow · design system · design pattern · risk management · stakeholders’ management · localisation · accessibility · use scenarios · formative valuation · ui audit
context
During my year at Siemens Healthineers, I worked on several AI-powered imaging products, collaborating with various teams on complex diagnostic tools, including AI-Rad Companion (AIRC) for Brain MR and Chest CT, as well as MR Cardiac, a standalone diagnostic application.
AI-Rad Companion is a family of vendor-neutral, multi-organ AI solutions supporting radiologists in image-based clinical decision making. Each “Extension” targets a specific modality and body region, automatically detecting findings and providing structured results.
MR Cardiac enables radiologists to analyse and quantify cardiac MR images more efficiently and consistently, integrating AI-supported tools into multimodality reading workflows.
My work focused on UI design for highly specialised, multimodality diagnostic workflows — aiming to improve efficiency, interpretability, and user confidence through clear presentation of AI results and clinical metrics.
responsibilities
UI Design Lead for complex, multimodality diagnostic workflows, ensuring clarity and consistency in high-stakes clinical contexts.
Cross-functional collaboration with UX PMs, researchers, and development teams in Germany and India to align user needs, technical feasibility, and product vision.
Bridge to SHUI Design System, contributing improvements and ensuring cross-project alignment.
Took over UX Manager and Interaction Design responsibilities during leaves, maintaining progress and stakeholder engagement.
Presented concepts and prototypes to stakeholders and focus groups, aligning on usability and direction.
Supported developer collaboration through structured handoffs, reviews, and iterative feedback to secure high design fidelity.
Actively contributed to the UX pattern library, strengthening shared design practices and cross-project alignment.
case one
Radiologists needed a way to configure AI-enhanced PDF reports summarising brain data, volumes, and segmentations alongside other imaging results. The goal was to make these reports customizable and, therefore, easier to consume, enabling more efficient interpretation of AI-generated insights during case evaluation.
challenge
Part of the report page was handled by another team, limiting Product and UX ownership and flexibility.
Pre-existing wireframes had issues with scalability, usability, and navigation flow.
Screens and components were not yet aligned with the SHUI Design System and current UI guidelines.
approach
Created three alternative concepts exploring different flows and information architectures to improve navigation and reduce interaction complexity.
Built four prototypes — two for testing and two for stakeholder communication and collaboration.
Conducted user evaluations with a UX researcher and interaction designer, focusing on discoverability, usability, and perceived value.
Outcome: Established confidence in our design direction — introducing a side-by-side preview concept that enabled instant feedback during report customisation.Presented and persuaded stakeholders of the final concept, securing alignment and implementation approval.
Created a UI Audit and rebuilt screens to meet updated SHUI Design System standards, and worked closely with developers to ensure high implementation quality.
“I think this is great. It gives me an idea as to what I’ll get as an output” — User during testing
challenge
The MR Cardiac Software supports radiologists in analysing MR images for cardiology and neurology. Within the multimodality reading workflow, the goal was to improve the infrastructure on the portrait monitor (horizontal panel) — optimising tool grouping, space utilisation, and navigation efficiency. Existing layouts wasted space and made tool access inconsistent and not accessible.
challenge
Highly diverse tool content — not just icons, but complex elements affecting layout and responsive behaviour.
Coexistence of two design systems in one product, leading to inconsistent visual and interaction patterns.
High product complexity and stakeholder resistance to layout changes.
approach
Mapped the information architecture to clarify hierarchy, navigation, and dependencies.
Explored alternative navigation patterns for four complex tools, testing tab-based layouts and responsive behaviour to improve accessibility and spatial efficiency.
Presented concepts in UID team critiques, stakeholder focus groups, and developer demos to align direction and validate feasibility.
Advocated for design system alignment and consistency across product extensions, setting a foundation for scalable UI improvements.
impact
Strengthened cross-team design alignment by contributing to the UX pattern library and promoting shared UI patterns across projects.
Improved design quality and consistency through stronger SHUI integration and aligned UI patterns.
Accelerated collaboration with development teams, reducing rework and ensuring higher implementation fidelity.
Increased stakeholder confidence through transparent communication, validated prototypes, and clear design rationale.
Enhanced usability and efficiency in diagnostic workflows — helping radiologists interpret results faster and with greater confidence.