Freeing Nurses from Tedious Admin Work
Freeing Nurses from Tedious Admin Work
Freeing Nurses from Tedious Admin Work
Easy IOL App
Easy IOL App
Easy IOL App
UX Designer
UX Designer
UX Designer
User Research, Wireframing, Usability Testing, Prototyping
User Research, Wireframing, Usability Testing, Prototyping
Team
Team
Team
4 Designers
4 Designers
Duration
Duration
Duration
3 months
Sep - Dec 2024
3 months
Sep - Dec 2024
Tools
Tools
Tools
Figma
Figma
Deliverables
Deliverables
Deliverables
Figma Prototype
Figma Documentation
Client Presentation
Figma Prototype
Figma Documentation
Client Presentation
OUR CLIENT
OUR CLIENT
OUR CLIENT
EasyIOL helps nurses and surgeons keep track of cataract surgery supplies
EasyIOL helps nurses and surgeons keep track of cataract surgery supplies
EasyIOL helps nurses and surgeons keep track of cataract surgery supplies
Easy IOL is a cloud-based data management app designed for Ambulatory Surgery Centers (ASCs) to digitize & streamline the workflows of managing intraocular lenses (IOLs), which involves:
Easy IOL is a cloud-based data management app designed for Ambulatory Surgery Centers (ASCs) to digitize & streamline the workflows of managing intraocular lenses (IOLs), which involves:
Easy IOL is a cloud-based data management app designed for Ambulatory Surgery Centers (ASCs) to digitize & streamline the workflows of managing intraocular lenses (IOLs), which involves:
ORGANIZATIONAL & PROJECT GOALS
ORGANIZATIONAL & PROJECT GOALS
ORGANIZATIONAL & PROJECT GOALS
Redesigning the app to minimize admin workflows
Redesigning the app to minimize admin workflows
Redesigning the app to minimize admin workflows
Easy IOL aims to streamline the traditionally manual and time-consuming process of handling IOLs, allowing nurses and surgeons to focus on patient care rather than inventory management.
Easy IOL aims to streamline the traditionally manual and time-consuming process of handling IOLs, allowing nurses and surgeons to focus on patient care rather than inventory management.
Easy IOL aims to streamline the traditionally manual and time-consuming process of handling IOLs, allowing nurses and surgeons to focus on patient care rather than inventory management.
OUR PROCESS
OUR PROCESS
OUR PROCESS
We took an iterative four-phase approach:
We took an iterative four-phase approach:
We took an iterative four-phase approach:
EXPLORATORY RESEARCH
EXPLORATORY RESEARCH
EXPLORATORY RESEARCH
Breaking down current architecture & identifying opportunities
Breaking down current architecture & identifying opportunities
Breaking down current architecture & identifying opportunities
Ecosystem Map
Ecosystem Map
Ecosystem Map
We mapped out the end-to-end IOL journey, from the initial surgery request to confirming IOL usage, to understand how stakeholders interact within the ecosystem.
We mapped out the end-to-end IOL journey, from the initial surgery request to confirming IOL usage, to understand how stakeholders interact within the ecosystem.
We mapped out the end-to-end IOL journey, from the initial surgery request to confirming IOL usage, to understand how stakeholders interact within the ecosystem.
B. Technical Analysis
B. Technical Analysis
B. Technical Analysis
Our audit revealed pain points like unclear error states, poor accessibility, and interruptions in the user flow.
Our audit revealed pain points like unclear error states, poor accessibility, and interruptions in the user flow.
Our audit revealed pain points like unclear error states, poor accessibility, and interruptions in the user flow.
C. Competitive Audit
C. Competitive Audit
C. Competitive Audit
Most competitors provided real-time guidance & feedback, and integrate accessible options to make their scanning processes more efficient than Easy IOL.
Most competitors provided real-time guidance & feedback, and integrate accessible options to make their scanning processes more efficient than Easy IOL.
Most competitors provided real-time guidance & feedback, and integrate accessible options to make their scanning processes more efficient than Easy IOL.
D. Literature Review
D. Literature Review
D. Literature Review
Learning about the constraints of OCR (Optical Character Recognition) pushed us to focus on an intuitive onboarding process & in-time tooltips that help users capture readable label images.
Learning about the constraints of OCR (Optical Character Recognition) pushed us to focus on an intuitive onboarding process & in-time tooltips that help users capture readable label images.
Learning about the constraints of OCR (Optical Character Recognition) pushed us to focus on an intuitive onboarding process & in-time tooltips that help users capture readable label images.
How might we design a user-friendly flow that ensures
How might we design a user-friendly flow that ensures
How might we design a user-friendly flow that ensures
SCHEMATIC DESIGN
SCHEMATIC DESIGN
SCHEMATIC DESIGN
Transforming ideas into solution
Transforming ideas into solution
Transforming ideas into solution
DESIGN PRINCIPLES
DESIGN PRINCIPLES
DESIGN PRINCIPLES
Research insights shaped our foundational Design Principles: Usable, Accessible, and Educational, ensuring our design is user-centered and functional.
Research insights shaped our foundational Design Principles: Usable, Accessible, and Educational, ensuring our design is user-centered and functional.
Research insights shaped our foundational Design Principles: Usable, Accessible, and Educational, ensuring our design is user-centered and functional.
PRODUCT ARCHITECTURE
PRODUCT ARCHITECTURE
PRODUCT ARCHITECTURE
To map out how core features will be organized and what principles they are matching in design and organizational levels, we built the Product Architecture as our high-level blueprint:
To map out how core features will be organized and what principles they are matching in design and organizational levels, we built the Product Architecture as our high-level blueprint:
To map out how core features will be organized and what principles they are matching in design and organizational levels, we built the Product Architecture as our high-level blueprint:
Focusing on continuity in scanning & reviewing labels
Focusing on continuity in scanning & reviewing labels
Focusing on continuity in scanning & reviewing labels
USER FLOW V1
USER FLOW V1
USER FLOW V1
Originally, users had to exit the camera flow to review captured IOL images, resulting in a lengthy and error-prone process.
Originally, users had to exit the camera flow to review captured IOL images, resulting in a lengthy and error-prone process.
Original Screens
Original Screens
Original Screens
In Version 1 of prototype, we added an immediate review step after each scan, ensuring data accuracy and reducing rework, especially when handling 20+ boxes.
In Version 1 of prototype, we added an immediate review step after each scan, ensuring data accuracy and reducing rework, especially when handling 20+ boxes.
To support adoption, we also introduced onboarding tooltips explaining key scanning features like sound cues, haptic feedback, auto-capture, and the 4-box scan limit.
To support adoption, we also introduced onboarding tooltips explaining key scanning features like sound cues, haptic feedback, auto-capture, and the 4-box scan limit.
V1 Prototype
V1 Prototype
V1 Prototype
V1 User Flow
V1 User Flow
V1 User Flow
EVALUATIVE RESEARCH
EVALUATIVE RESEARCH
EVALUATIVE RESEARCH
What were users’ thoughts on our schematic design?
What were users’ thoughts on our schematic design?
What were users’ thoughts on our schematic design?
To validate our design, we conducted usability testing & interviews with 2 ASC nurses (existing users) to bring in their firsthand knowledge in testing practicality, and recruited 4 non-medical field individuals (new users) to provide a new, unbiased perspective.
To validate our design, we conducted usability testing & interviews with 2 ASC nurses (existing users) to bring in their firsthand knowledge in testing practicality, and recruited 4 non-medical field individuals (new users) to provide a new, unbiased perspective.
To validate our design, we conducted usability testing & interviews with 2 ASC nurses (existing users) to bring in their firsthand knowledge in testing practicality, and recruited 4 non-medical field individuals (new users) to provide a new, unbiased perspective.
Interview Script
Interview Script
Interview Script
From evaluative research, we identified the following aspects to prioritize in refining our designs:
From evaluative research, we identified the following aspects to prioritize in refining our designs:
Evaluative Research Insights
Evaluative Research Insights
Evaluative Research Insights
Interview Participant Quotes
Interview Participant Quotes
Interview Participant Quotes
DESIGN ITERATIONS
DESIGN ITERATIONS
DESIGN ITERATIONS
Meeting user and stakeholder needs
Meeting user and stakeholder needs
Meeting user and stakeholder needs
We missed a technical constraint in the first round
We missed a technical constraint in the first round
We missed a technical constraint in the first round
Client feedback highlighted a previously unaccounted-for 7–8 second delay in OCR processing, which caused idle time and interrupted task flow.
Client feedback highlighted a previously unaccounted-for 7–8 second delay in OCR processing, which caused idle time and interrupted task flow.
Client feedback highlighted a previously unaccounted-for 7–8 second delay in OCR processing, which caused idle time and interrupted task flow.
USER FLOW V2
USER FLOW V2
To solve this, we updated the experience to set expectations upfront with a loading message and integrated an inwarding queue directly into the camera view, allowing users to continue scanning new boxes while simultaneously reviewing processed labels.
To solve this, we updated the experience to set expectations upfront with a loading message and integrated an inwarding queue directly into the camera view, allowing users to continue scanning new boxes while simultaneously reviewing processed labels.
To solve this, we updated the experience to set expectations upfront with a loading message and integrated an inwarding queue directly into the camera view, allowing users to continue scanning new boxes while simultaneously reviewing processed labels.
Interview Participant Quotes
Interview Participant Quotes
Interview Participant Quotes
Final Iterations on Prototype
Final Iterations on Prototype
Final Iterations on Prototype
Improving visibility of onboarding cues
Improving visibility of onboarding cues
Improving visibility of onboarding cues
Testing revealed users couldn't easily locate referenced UI elements during onboarding.
We added directional visuals that helped users follow the guidance.
Testing revealed users couldn't easily locate referenced UI elements during onboarding.
We added directional visuals that helped users follow the guidance.
Testing revealed users couldn't easily locate referenced UI elements during onboarding.
We added directional visuals that helped users follow the guidance.
B. Ensuring accurate IOL data verification
B. Ensuring accurate IOL data verification
B. Ensuring accurate IOL data verification
The “Add all to inventory” button previously appeared active before users reviewed the IOL boxes.
We updated the design so the button remains inactive until all boxes are reviewed, aligning with user expectations.
The “Add all to inventory” button previously appeared active before users reviewed the IOL boxes.
We updated the design so the button remains inactive until all boxes are reviewed, aligning with user expectations.
The “Add all to inventory” button previously appeared active before users reviewed the IOL boxes.
We updated the design so the button remains inactive until all boxes are reviewed, aligning with user expectations.
C. Helping users know when scans are ready
C. Helping users know when scans are ready
C. Helping users know when scans are ready
Initially, a yellow dot signaled that an image was added to the inwarding list, but users couldn’t tell if OCR processing was complete.
We clarified this by adding a dialog box to show processing time.
Initially, a yellow dot signaled that an image was added to the inwarding list, but users couldn’t tell if OCR processing was complete.
We clarified this by adding a dialog box to show processing time.
Initially, a yellow dot signaled that an image was added to the inwarding list, but users couldn’t tell if OCR processing was complete.
We clarified this by adding a dialog box to show processing time.
D. Simplifying the inwarding list for clarity and focus
D. Simplifying the inwarding list for clarity and focus
D. Simplifying the inwarding list for clarity and focus
In the initial design, the inwarding list showed both reviewed and unreviewed IOLs, causing information overload.
We addressed this by adding a loading indicator for OCR processing and showing only images ready for review. We also added a shortcut to the inventory section to keep the flow clear and efficient.
In the initial design, the inwarding list showed both reviewed and unreviewed IOLs, causing information overload.
We addressed this by adding a loading indicator for OCR processing and showing only images ready for review. We also added a shortcut to the inventory section to keep the flow clear and efficient.
In the initial design, the inwarding list showed both reviewed and unreviewed IOLs, causing information overload.
We addressed this by adding a loading indicator for OCR processing and showing only images ready for review. We also added a shortcut to the inventory section to keep the flow clear and efficient.
TAKEAWAYS
TAKEAWAYS
TAKEAWAYS
Where the journey brought us
Where the journey brought us
Where the journey brought us
CLIENT FEEDBACK
CLIENT FEEDBACK
CLIENT FEEDBACK
The client responded positively to our solution, particularly the loading indicator that clarified processing delays and improved workflow clarity.
The client responded positively to our solution, particularly the loading indicator that clarified processing delays and improved workflow clarity.
The client responded positively to our solution, particularly the loading indicator that clarified processing delays and improved workflow clarity.
FUTURE OPPORTUNITIES
FUTURE OPPORTUNITIES
FUTURE OPPORTUNITIES
In the final phase of our project, we identified a broader need: helping nurses verify that the correct IOL is matched to the patient just before surgery, which would minimize the risk of surgical error and reduce last-minute confusion in the operating room.
In the final phase of our project, we identified a broader need: helping nurses verify that the correct IOL is matched to the patient just before surgery, which would minimize the risk of surgical error and reduce last-minute confusion in the operating room.
In the final phase of our project, we identified a broader need: helping nurses verify that the correct IOL is matched to the patient just before surgery, which would minimize the risk of surgical error and reduce last-minute confusion in the operating room.
We developed a quick prototype to visualize how the app could scan both the patient wristband and the IOL box, then cross-check data before allowing surgery to proceed.
We developed a quick prototype to visualize how the app could scan both the patient wristband and the IOL box, then cross-check data before allowing surgery to proceed.
We developed a quick prototype to visualize how the app could scan both the patient wristband and the IOL box, then cross-check data before allowing surgery to proceed.
Our client found this promising, and it remains a key opportunity for future iterations.
Our client found this promising, and it remains a key opportunity for future iterations.
Our client found this promising, and it remains a key opportunity for future iterations.
Next Up
Next Up
Next Up
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