Radiology Queue
Project goal
Create an interactive software platform for x-ray specialists to review scans and annotate with notes, measurements and/or approvals or rejections for medical providers.
How can we take what is currently available in the Radiology space and make it more effective?
In order to fully understand the functional areas of the application, a detailed map was made with documentation of the main flows that the user must go through from the beginning to the end for each type of patient encounter or x-ray request.
Each function and opportunity for documentation within the platform was spelled out in detail to leave no questions for our development team once the design was complete.
Services
UI/UX Design, Art Direction, Style Guide, Prototyping
Progress
Completed over 200 unique screen designs for Radiology Queue.
Sector
Healthcare
Year
2023
Timeline
24 weeks
Challenge
Create an interactive software platform for x-ray specialists to review scans and annotate with notes, measurements, and/or approvals or rejections for medical providers. Most technicians never speak to the medical provider, so all the information needs to be extremely clear and easy for providers from all areas of the care workflow to make use of the information provided.
Strategy
Develop a UX/UI design that allows medical providers to easily scan through documentation and then be able to confirm the diagnosis through their own view of the same x-ray. Equally important, was the ability for the medical provider to communicate with the radiology clinic when needed when they had any further questions or needed another scan to be performed.
Color coding
A color scale to help inform providers with little to no reading at all.
Iconography was implemented for emphasis of the most extreme cases.
Each function and opportunity for documentation within the platform was spelled out in detail to leave no questions for our development team once the design was complete.
User Flow
Radiology
Queue
Tools
Investigation Type
Multiple tools were created to give technicians a large suite of options to use to explain their analysis, such as drawing features and the ability to add color for visual clarity.
Image settings
Every scan is different, just as every human being is different. Therefore, we also added a multi-dimensional image setting panel to create highlights, improve contrast, adjust the density, and separate tones to better elucidate what the image has to convey to the provider.
Cardiothoracic Ratio steps
The cardiothoracic ratio aids in the detection of enlargement of the cardiac silhouette, which is most commonly from cardiomegaly but can be due to other processes such as a pericardial effusion. Getting the proper scan to determine this ratio from a PA chest x-ray can be a challenge and the exact measurement is really never possible, but we attempted to provide technicians with the visual tools designed to provide the most precise measurements possible.
Manual
Measurement
Metric
AI
Measurement
Metric
Color coding
Gradient colors used to indicate severity of issues discovered.
AI Scan one screen
AI Scan Radiology is an innovative technology that uses artificial intelligence (AI) to improve the accuracy and speed of radiology diagnoses.
Additional drill-down and clickable elements were designed to allow users to investigate and display organs separately and to view them from several angles.
Data Analysis
Conclusion
Message
Bring the world around you closer
Build your own journeys and inspire others to walk in your footsteps. Fuselab Creative has created an intuitive navigation for users that needs no explanation or training.
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