Diagnosim

MR Experience | Spatial UX/UI Design | Educational Design

Solo Project | 2023

Research: User Interview, Literature Review, SWOT Analysis, Card Sorting, Usability Testing

Tools: Figma, SwiftUI, Xcode, Blender

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

Industry Observations

Medical Students Selection Structure

Red-marked sections highlight risks of inefficiency and inequality in the selection process.

Specifically, Diagnosim focuses on improving the blue-framed sections by promoting and supporting Situational Judgement Tests.

The research report “Identifying Best Practice in the Selection of Medical Students” underscores the urgent need to emphasize the Situational Judgement Test (SJT) in medical school selection, a method proven to be one of the most valid and effective. (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. The 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.