PET, SPECT & MI Apps
A primary focus was UX design work on PET, SPECT, and Molecular Image analysis applications for Siemens Healthineers. Focused on clinical workflows for scan acquisition, image review, and diagnostic reporting — all in highly regulated, high-stakes clinical environments.
SPECT (Single-photon Emission Computed Tomography) and PET (Positron Emission Tomography) are advanced nuclear medicine imaging techniques that use radiation emitting from the body to create detailed tomographic images.
These methods are often complemented by CT (Computed Tomography), a radiation-based technique. Unlike traditional nuclear medicine imaging, SPECT and PET offer genuine 3D information, enhancing diagnostic capabilities.
View PPM (Patient Positioning Monitor)
While reviewing user research notes from a hospital visit, my colleague and I identified an opportunity to enhance our SPECT/CT scanner system for an upcoming next-gen product.
At that time, technicians used a workaround in the scanner room to view a boom-mounted touchscreen called the PPM, even though they'd have access to better information on their own monitors in the control room.
My team and I proposed implementing UI controls that would display the PPM screen virtually on the control room's monitors in a floating window, allowing patients to use the physical PPM for entertainment or check on their scan's progress.
We advocated for this feature within our Molecular Imaging business line, and after approval, took the discussion across business lines, as our hardware and software integration with CT posed challenges.
Result: : My efforts to understand user behavior, advocate for their needs, and secure approval led to the successful integration of this feature.
View PPM (Patient Positioning Monitor)
I researched Beat Histograms, introduced new verbiatge and improved the clarity of UI controls, labels and data depiction. This led to reduced scan set up times and improved imaging technician confidence.
While designing elements of a next-gen PET & SPECT scanning platform, I had to research "beat histograms", which are visualizations of heart or breathing rhythms crucial for accurate imaging.
I studied past solutions, technician practices, details around the signal origins, how medical decision-making based on based on histograms actually works, and the impact of user interfaces and physical device settings on this workflow.
I focused on the user-facing verbiage and labels, including the precise wording for a control to clear cardiac or respiratory data during a scan.
After I'd gained a comprehensive understanding of the histogram's technical aspects, encompassing EKG, limits, and thresholds, my UI reccomendations including the label "restart beat histogram" were implimented.