Diagnosim
UX/UI Design in Mixed Reality | Healthcare Design | UX Research
Solo Project | 2023
Tools: Figma, SwiftUI
Research: User Interview, Literature Review, SWOT Analysis, Card Sorting, Usability Testing
Diagnosim is a Mixed-Reality (MR) educational platform for medical students. Focused on providing simulative medical imaging exercises, It proposes MR as a future medical education tool. Compensating for the lack of medical education resources and spatial learning pratice, Diagnosim provides an exmaple as the guildeline for future spatial medical practice design.
More than a platform, Diagnosim is a visionary solution, leveraging MR's transformative potential. It encourages collaboration by facilitating shared experiences and collaborative discussions among students, educators, and practitioners. As a spatial medical practice trailblazer, Diagnosim reflects a commitment to nurturing well-rounded medical professionals.
PRELUDE
Objectives
Diagnosim aims to create a Mixed-Reality educational platform for medical students to learn, exercise, communicate, and prepare for their future diagnostic practices in the industry.
Reflecting from current medical education industry phenomena and edge-cutting development on MR technology, this project would organize a set of principles for Spatial Medical Practice Design guiding an MR medical education platform construction.
Significance
Building a set of design principles and a pioneer platform is necessary for the effective implementation and utilization of an innovative approach for medical education. It serves as a guide for educators and designers in the navigation of developing MR and future spatial technology as a medical tool.
On a boarder scale, this project has the potential to bridge the traditional medical education gaps such as lack of resources, inequality and bias, inefficient clinical practices, and knowledge visualization.
INTERVIEWS
“I can still remember the arm structure that I dissected with my own hands two years ago. It’s hard to recognize those sections without hands-on experience.”
Maya Zhong, 21
Medical Student at Chongqing Medical University & University of Leicester
“Our current digital education tools such as 3D models are all ‘healthy’ bodies. It’s hard to gain experience in real cases before internships.
During COVID-19, it was even harder to have contact with real patients. ”
Wenting Jiang, 21
Medical Student at Southwest Medical University
“There are very few practical resources, especially cadaver. It is common for 30 students to use 1 cadaver throughout their undergraduate study.
After their graduation, the cadaver would still be reserved for future students, lasting for 3 to 4 years.”
Han Li, 22
Medical Student at West China Medical School
RESEARCH
Medical Course Material Samples
Lecture Slides from Southwest Medical University
Course Syllabus from West China Medical School
Textbook (Bai, R.J., et al. Medical Imaging 8th Edition, 2018)
Medical Student Course Schedule Samples
Han’s Weekly Course Schedule
Clinical and Pathological Features
Imaging Features (sample cases with image)
Diagnosis and Differentiation
Learning Content Hierachy
Though theoretical lectures and practice sessions ideally are equally scheduled, students often only observe in practice sessions in reality.
Teaching Schedule Pattern
METHODOLOGY
Main elements of an ideal selection process (Cleland, J., et al. “Identifying Best Practice in the Selection of Medical Students”, 2012)
Red-marked sections highlight risks of inefficiency and inequality in the selection process.
Specifically, Diagnosim focuses on improving the two framed sections by promoting and supporting Situational Judgement Tests.
Situational Judgement Tests (SJTs): A method proven to be one of the most valid and effective in medical school selection. (Cleland, 85) SJTs assess candidates' judgement in role-relevant scenarios by presenting them with a situation and a list of possible responses, asking them to make informed judgements.
To support this, Diagnosim is dedicated to help students familiarize themselves with these scenarios and support them through future SJTs. Its core feature is a simulative diagnosis scene, which is based on real cases from a medical imaging database. This includes realistic procedures such as imaging positioning, exploring background information, and making imaging-based diagnoses.
Diagnosim incorporates spatially physical engagement through hand gestures and voice commands. This innovative practice structure aims to address the lack of practical and simulative exercises for medical students, particularly benefiting those with limited access to educational resources.
INFORMATION ARCHITECTURE
UI Deliverables
Following VisionOS Developer Guide: https://developer.apple.com/design/
Main Pages
Log-in
Practice Home
Ranking
Practice Subpages
Practice Subpage
Practice UX
Scene Options
Imaging Diagnosis
Practice User Flow
Community
Profile
Categories Subpage
Practice Start & Manual Positioning
Diagnosis Answer Comparison
Positioning Answer Comparison
Overall Review
Spatial Design Heuristics for Medical Practices
Open Card Sorting
By conducting Open Card Sorting with medical students and non-major students, I seek to understand users’ special needs and workflows. The result emphasizes the importance of designing with medical profession and rigor. Overall, this card-sorting method helps Diagnosim gain user-centric insights.
Non-major Student
Medical Student
