Design REFINEMENTS
Usability findings
Highlighting the importance of clearing the groin for proper scanning
Overall, medical professionals performed better than non-medical participants in testing due to their experience working with patients and being comfortable with close physical interaction. Most non-medical participants appeared hesitant when moving a patient's underwear to scan the groin. Although this was not an issue for most medical professionals, we still introduced a looped video that highlights the importance of clearing the groin area to ensure proper scanner placement.
Improved understandability with concise copy and checkboxes
We observed that participants were skimming through the instructions and not carefully reading them, which hindered their ability to scan the patient. To tackle this issue, we simplified the written instructions and introduced checkboxes. This design change improved the number of tests completed on the third try by making instructions easier to follow and ensuring each step was completed before moving on to the next.
Before
After
Testing directional terms
AutoDVT uses anatomical terms of location, such as lateral and medial, instead of left and right. We tested both terms, but we learned that medical professionals preferred anatomical directional terms because they reduce ambiguity, help visualize positional and spatial locations of structures, and navigate directionally from one area to another.
Conventional terms
Anatomical directional terms
Videos proved highly effective, so we incorporated them beyond onboarding into the scanning core flow
We found videos highly effective in training users, so we expanded their use beyond the interactive manual to the scanning flow for users who needed to reference them while scanning. However, a constant design challenge we faced with AutoDVT was making features easy to spot for new users but not intrusive for experienced users already familiar with the app. We redesigned the scanning flow to make videos available before and while scanning.
'After' subflow shows how training videos were incorporated into the scanning core flow.