About

Timeline

01/15/2024-04/10/2024

My Role

UX Designer, UX Researcher

My Team

1 UX Designer, 1 UX Researcher, 1 Stakeholder

Deliverables

  • Explore innovative diagnostic approaches by integrating AI analysis while preserving human medical judgment.

  • Transform medical image viewing through 3D holographic visualization and interactive gallery interfaces.

  • Streamline medical professional collaboration through an integrated communication platform.

Problem we try to solve

Medical professionals lack efficient tools for viewing, analyzing, and collaborating on medical images, leading to delayed diagnoses and prolonged patient waiting times.

Our solution

An integrated medical imaging platform that combines AI-assisted diagnosis, 3D holographic visualization, and streamlined professional collaboration tools to accelerate and improve the accuracy of medical image analysis.

Target users

Primary users of Imaginova are radiologists and surgeons, with other medical professionals as secondary users who need to review and discuss medical imaging results.

Prototype Overview

Log in

Go to task

AI analysis

Holographic View

Chapter 1.

When Darkness Fell: The Day My World Went Black

It was an ordinary November morning in 2023 when my world suddenly went dark. One moment I was going about my day, and the next, my left eye could barely perceive anything beyond a faint glimmer of light.

“ How does one process such a sudden, terrifying change?”

little did I know this frightening experience would later become the catalyst for innovation.…

Chapter 2.

48 hours: A race against time

The next 48 hours were a whirlwind of emotions and revelations.

First, a visit to the university health center, then an urgent referral to the University of Rochester's premier vision center. The diagnosis was shocking: 85% vision loss.

RIT health center

URMC hospital

85% vision loss

Emergency room

MRI discovery

“Have you experience simultaneously speed up and stand still?”

“Have you experience simultaneously speed up and stand still?”

20+ Doctors.

Countless tests.

One long night of uncertainty.

Each minute stretching into what felt like hours as I waited the final diagnosis.

Each minute stretching into what felt like hours as I waited the final diagnosis.

Chapter 3.

Through the eyes of both worlds

Patient

Limited 2D visualization

Limited 2D visualization

Time-consuming analysis

Time-consuming analysis

Complex coordination

Complex coordination

Medical professionals

3D interactive models

3D interactive models

AI-assist analysis

AI-assist analysis

Seamless collaboration

Seamless collaboration

How I get there ?

By conducting in-depth interviews with radiologists who work with these challenges daily. I sat down with two experienced radiologists, letting them guide me through their workflow, their challenges, and their hopes for the future.

Demographic

1. Name, 2. job title, 3. age, 4. technology level

General user behavior

1. What type of software are you currently using for viewing medical images?

2. What are the purposes of you using this platform? (eg: view medical images, document patient medical history, communicate with other doctors)

3. Describe your latest experience of using this software. (tell me in a story format, what/who/why/where)

4. How do you feel about using this platform?

5. What are you satisfied with this platform?

6. Is there anything about this platform that you think could be improved?

7. Is there anything that you want but could not find on this platform?

My project-related questions

I'm designing a digital platform that can use AI to read medical images, provide potential results, and provide potential treatment plus its outcome. This platform can also enable medical professionals to view medical images holographic projection view. This platform will be super innovative and may change the way of the medical field. So I’m going to ask you a few questions about designing this platform.

1. How comfortable are you with the use of AI to suggest potential diagnoses and treatments from medical images? What are your primary concerns about this technology?

2. How useful do you think a holographic projection(view medical image in three dimensions if needed) of medical images would be in your work? Can you describe a scenario where it might enhance your ability to diagnose or treat patients?

3. In terms of AI suggestions for diagnosis and treatment, what level of accuracy and reliability would you require to trust and use these recommendations in your practice?

From insights to Focus

From insights to Focus

Interview insights

Enhanced visualization

Efficient communication

AI support

Lesion localization

Speed with precision

Strategic focus

Organ visualization

Accurate diagnosis

Anatomical database

Report generation

From Requirements to Architecture: Structuring the Solution

Having gathered deep insights from radiologists, I faced the challenge of transforming complex requirements into a coherent product structure.

Given the depth of medical imaging workflows, I strategically began with Information Architecture (IA) to create a clear foundation before detailed design. This approach allowed me to visualize the entire ecosystem, identify potential navigation issues early, and ensure every feature would find its logical place in the radiologists' workflow.

Based on the information architecture, I created 4 wireframes.

Dashboard

Image slices

Images

To-do tasks

Chapter 4.

Design decisions

Design decision.1 Reimagining image interaction

My observation of traditional way of viewing medical images

  • Passive scrolling

  • One by one viewing

  • Limited interaction

"What if we treat medical images like simple digital images? And we could make them into a photo gallery.

Design decision.2 The Vertical Space Challenge

Initial Design

Our first major design pivot came from a crucial piece of feedback about the navigation bar placement. The initial wireframes placed the navigation bar at the top of the screen - a common practice in web design. However, our users quickly pointed out two critical issues:

1. Limited vertical place

"Every millimeter of vertical space counts for medical images," explained a radiologist during testing. Our top navigation was taking away crucial space needed for examining MRIs and CT scans.

2.Against convention

Plus, as another user pointed out, "With PACS systems always using side navigation, you don't want to fight muscle memory when making quick decisions."

“When you are making split-second decisions about patient care, you don’t want to be fighting against muscle memory.”

Other prototypes

Prototype.

Prototype.

Prototype.

Reflection

The future of medical imaging

Imaginova isn't just a solution to a problem - it's a bridge between current limitations and future possibilities. Could this be the future of medical imaging? A future where patients don't have to endure the agonizing wait I experienced, where doctors have better tools at their disposal, and where technology enhances rather than replaces human expertise?

Current limitations

Future possibilities

This story isn't just about creating a new medical imaging platform - it's about transforming a personal trauma into a solution that could help countless others. And perhaps that's the most powerful aspect of design: its ability to turn our darkest moments into beacons of hope for others.

Personal journey

Transforming a personal challenge into a universal solution

Future vision