HealthNav
Fixed an accessibility failure in a symptom checker that was locking some users out entirely, cutting unnecessary ER visits ~35%.
Role
Senior UX/UI Designer
Client
BayCare Health Systems
Year
2023
Disciplines

Problem
When someone doesn't feel well, the hardest part isn't naming the symptoms, it's deciding what to do next. Anxious and without a diagnosis, people default to the ER or skip care altogether, both costly outcomes for BayCare's network. A design review found a concrete cause: the symptom checker's interactive body-map avatar had tap targets below minimum touch target size, meaning some users couldn't select their symptoms at all. User feedback and usage data confirmed a significant share of users were struggling to use the tool.
Constraints
The COVID-19 screener could not present itself as a diagnosis, only as decision support toward the right level of care, a real liability/regulatory boundary on the design. Built as a secondary effort alongside the EasyPass engagement.
Process
Audited the existing symptom checker and found the accessibility failure in the body-map avatar. Collaborated with stakeholders and cross-functional teams to design a search-and-autocomplete symptom entry method. Separately, worked with stakeholders and developers to define the criteria for a COVID-19 assessment, triggering one of three severity results based on symptom combinations. Added guided tutorials to reduce drop-off and profile-completion prompts to personalize the experience.
Key Decision
Fixed the accessibility failure by adding a search-and-autocomplete entry method, so users no longer depended on tapping small targets on the body-map avatar to report their symptoms.
Solution
Search-and-autocomplete symptom entry, a three-tier COVID-19 severity assessment framed explicitly as non-diagnostic, guided tutorial, and profile-completion prompts.
Key Outcomes
- 01Built a COVID-19 assessment that sorts users into one of three severity levels and routes them accordingly
- 02Replaced an inaccessible interactive body-map avatar with a search-and-autocomplete symptom entry method
- 03Added guided tutorials and prompts to keep people from dropping off partway through
- 04Added profile-completion prompts to personalize the experience for returning users
Impact
Fewer unnecessary ER visits
Faster symptom triage
Users routed to the right care on first try
Care severity pathways built
Gallery
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Overview
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