Duration
3 months | 2025 | Contract

Our team built an integrated IoT ecosystem that captures real-time motion, location, and equipment usage across the hospital. I led the end-to-end design of the nurse station dashboard and the work mobile flow, enabling teams to locate tools instantly, reduce delays, and coordinate care smoothly.
Now project prototype moved to Advent develop team3 months | 2025 | Contract
UX Designer Lead and UX Research
Figma, Chat GPT4, Adobe Illustrator, Photoshop, C4D
SCADpro Design Studio
3 UX Researchers | 2 Project Manager | 5 UX Designers
Advent Health
3 Design Director | 1 Product Manager | 1 Service designer | 1 Clinical Officer
The daily hospital workflow is filled with unnecessary friction. Nurses and physicians often spend valuable time searching for people, equipment, and resources. Without a unified visibility system, staff resort to manual workarounds. These non-clinical tasks create delays, increase cognitive load, and pull caregivers away from what matters most: direct patient care.
I collaborated closely with the PM and AdventHealth design team, meeting weekly to align on needs and refine early concepts. My direction was selected during exploration, leading me to design the nurse-station central dashboard and the mobile equipment-finding MVP. I led interaction design, defined key use cases, and established a scalable visual system to support both MVP and future iterations.
The system reduced equipment and supply search time by 35%, improved room-level clarity to cut location-related delays by 40%, and enabled 8 out of 10 nurses to spend more time with patients instead of coordination tasks—elevating both workflow efficiency and the overall care experience.
Equipment and Supply Search Time Reduced
“I could focus more on patient care instead of coordination tasks”
Location-related delays reduced
Surface key supplies and low-stock alerts on the home screen, making it easier for nurses to track and handle multiple items with confidence.
Provide both card and map views so nurses can quickly locate equipment—whether they need quick availability at a glance or precise room-level locations.
Allow nurses to send selected equipment locations directly to Rover phones, enabling quick in-hospital navigation through their app.
Field trip observations and AdventHealth interviews show that clinicians still spend considerable time on non-clinical tasks—locating equipment, coordinating across departments—which reduces bedside time and increases cognitive load.
Inconsistent way-finding and inefficient, manually tracked supply retrieval force nurses to walk around, wait, or fetch items themselves—creating avoidable delays and workflow interruptions.
By mapping the workflows, we uncovered a manual and fragmented system—one that directly translates into delays, stockout, and repeated nurse interruptions.
Inconsistent wayfinding and inefficient equipment retrieval force staff to rely on walking around or asking colleagues to locate items—causing delays and frequent workflow interruptions. Despite RTLS deployment, unclear visuals and non-intuitive location cues limit its usefulness.
Although RTLS is deployed, unclear location cues still force staff to manually search hallways, ask colleagues, and rely on luck to find critical equipment.
Reliance on phone calls and manual tracking forces nurses to fetch items themselves, disrupting clinical workflows and reducing bedside care time.
With no automated low-level alerts, stock shortages go unnoticed until a nurse tries to retrieve the item—causing unnecessary delays and workflow breakdowns.
How might we enable clinicians to move from uncertain searching to fast, confident decision-making through real-time, actionable visibility—reducing wasted time and maximizing patient care?
The healthcare system is highly complex, and different departments have distinct needs. We cannot design a separate page for every piece of equipment, so we need a modular system that can support both supply management and equipment management.
The initial design assumption was that spatial visibility was the key to solving nurses’ difficulty in locating equipment. The goal was to digitize the search process using real-time location technology (RTLS) and Passive RFID tags. Equipment status was represented as colors.
After testing with AdventHealth nurses and supply chain managers, we found that while the map view works well for wayfinding, it is not suitable for inventory or quick decision-making.
Based on these findings, we shifted from spatial visualization to a more structured IA. The map was moved to a secondary view, while the Asset Card became the primary interface for faster decision-making. We also expanded consumable supplies, aligning with the Supply Chain manager’s note that they are now start to enables PAR-level tracking and forecasting on the backend.
Reusable UI components ensure consistency across the product and accelerate development by reducing repetitive design and coding work. low-priority.
Even with a modular card design, we found that secondary cognitive load persisted. Supporting details within the card still distracted nurses during quick scanning. We needed to decisively remove non-essential information and strictly focus the UI on triage-driven decision actions.
We structured all information based on the nurse triage workflow, categorizing it into high-priority, actionable data and low-priority.
HMW reduce the time spent processing information on the screen?
Displayed both clinical status and backend supply chain predictive data.
Available in other departments was shown as a full list (Top 1-2 nearby)
Added more direct action information
By removing secondary data, we reduced on-screen data noise by nearly 50%, ensuring nurses can interpret a card within 2 seconds—achieving true at-a-glance.
While the streamlined card hides cross-department availability in normal situations, we re-introduce this information only when it supports critical & low situation.
Equipment and Supply Search Time Reduced
for nurses to get what they need
Data Element Simplification Rate
Empower AdventHealth to build a people-centered smart hospital by simplifying how clinicians find and act on equipment and supply information. The MVP reduces search time, minimizes interruptions, and improves decision clarity—giving staff more time for patient care.
Finalized design accepted and transitioned to the internal design and development teams.Challenge: “Can’t find items” and “Lack of Real-Time Visibility”
Reduces staff walking time, search time, and workflow interruptions.
Challenge: “information overload” and “difficulty in making immediate judgments”
Define Normal, Low, and Critical states first to guide faster, condition-based actions
Reveal cross-department availability only when needed to support timely reallocation. Prioritize decision signals first to ensure every card element leads to action
Enables 2-second judgment, leading to faster decisions and quicker action.
Challenge: “Fragmented Coordination Workflow” reliant on manual calls.
Instantly view real-time equipment availability without leaving the triage view.
Enable clinicians to select nearby staff based on real-time proximity and role (via EPIC staff binding), and instantly send turn-by-turn directions to recipients’ Rover phones for immediate retrieval.
Reduces repeated trips, coordination friction and phone calls across departments.
Challenge: “Stockout Only Appear at the Moment of Use”
Connect with EPIC’s PAR-level tracking (IT approved) to detect low inventory before shortages occur
Trigger low-level alerts early to initiate restock or reallocation ahead of depletion
Surface Auto Restock in Progress and ETA information when inventory reaches Critical status
The project has now transitioned into the development phase, with engineering teams beginning implementation planning. The design now serves as a production-ready reference for development to reduce non-clinical burden and return time to patient care.
Direct field observation and user testing revealed that the core challenge wasn’t locating assets—but enabling faster, clearer decisions in high-pressure moments.
This insight fundamentally reshaped the product strategy, moving the design from map-first visualization to decision-first information architecture, and aligning frontend experiences with backend operational constraints.

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