Mission Zero Incident
Mission Zero Incident
AI-Assisted Interactive Learning Experience
AI-Assisted Interactive Learning Experience
Embedded Files
Overview
Overview
This project involved designing and developing an AI-assisted interactive eLearning experience focused on MRI safety training for healthcare personnel at a newly launched imaging facility. Created as part of the May 2026 eLearning Designer's Academy Challenge, the project reimagines traditional compliance training through a modern, scenario-based experience inspired by SaaS dashboards and interactive simulations.
Using Claude Design by Anthropic as a rapid prototyping and vibe-coding tool, the experience combines instructional design theory, immersive interactions, and visual storytelling to support learner engagement and behavior-based safety awareness.
The Problem
The Problem
MRI environments present serious safety risks for both patients and healthcare staff due to the constant presence of powerful magnetic fields. Improper screening procedures, unsecured metal objects, or lack of awareness regarding MRI safety zones can lead to severe injury or equipment damage.
Traditional compliance training in healthcare settings is often heavily text-based and procedural, which can reduce learner engagement and limit knowledge transfer in high-risk situations. For newly hired staff with varying levels of MRI familiarity, there is a need for training that not only communicates protocols, but also demonstrates why those protocols matter.
This project was designed to address that challenge by transforming MRI safety education into an interactive, scenario-driven experience focused on decision-making, environmental awareness, and applied learning.
Sidebar of Course Progression - Users can freely navigate
Development & Course Structure
Development & Course Structure
The learning experience was designed using principles of adult learning theory and constructivism, emphasizing immediate relevance, guided discovery, and practical application.
The course presents learners as newly onboarded staff members preparing for the launch of a fictional imaging facility, “Milton Imaging,” where they are tasked with maintaining a zero-incident MRI environment.
The experience is divided into six interactive modules:
1. Command Center - Introduces the mission context through a SaaS-inspired dashboard interface that frames learners as active participants in MRI safety preparation.
1. Command Center - Introduces the mission context through a SaaS-inspired dashboard interface that frames learners as active participants in MRI safety preparation.
2. Zone Explorer - Uses an interactive map of Zones I–IV to help learners identify varying levels of MRI risk and understand safety boundaries within the imaging suite.
2. Zone Explorer - Uses an interactive map of Zones I–IV to help learners identify varying levels of MRI risk and understand safety boundaries within the imaging suite.
3. Bio-Scan - Features a simulated body-scanning interaction where learners identify hidden medical devices, implants, and hazards that may be unsafe in MRI environments.
3. Bio-Scan - Features a simulated body-scanning interaction where learners identify hidden medical devices, implants, and hazards that may be unsafe in MRI environments.
4. Magnetism Lab - Presents a simulation-based activity in which learners secure hazardous objects before they are pulled toward the MRI machine, visually reinforcing the consequences of unsafe environments.
4. Magnetism Lab - Presents a simulation-based activity in which learners secure hazardous objects before they are pulled toward the MRI machine, visually reinforcing the consequences of unsafe environments.
5. Clinical Decision - Uses branching decision-making scenarios to challenge learners to apply screening protocols and make safe patient preparation choices.
5. Clinical Decision - Uses branching decision-making scenarios to challenge learners to apply screening protocols and make safe patient preparation choices.
6. Knowledge Check - Concludes the experience with applied review activities that reinforce key MRI safety concepts and protocols.
6. Knowledge Check - Concludes the experience with applied review activities that reinforce key MRI safety concepts and protocols.
The entire experience was developed using AI-assisted workflows in Claude Design, allowing for iterative experimentation with layout, interaction flow, visual hierarchy, and immersive UI concepts.
Iterative Process using Claude Design. Module displayed: 5 - Clinical Decision (Interactive Simulation)
Challenges & Constraints
Challenges & Constraints
Balancing realism with accessibility: MRI safety is a high-stakes healthcare topic that required accurate representation while remaining approachable for learners with varying experience levels
AI-assisted workflow limitations: While Claude Design accelerated prototyping and interaction development, outputs still required instructional oversight, refinement, and iterative prompting to ensure usability and alignment with learning goals
Translating compliance content into engaging interactions: The challenge required transforming traditionally procedural material into a more immersive and scenario-based experience without sacrificing clarity or safety messaging
Designing within a challenge-based framework: The project adapted a pre-existing challenge prompt while expanding the experience into a more visually cohesive and interactive learning environment
Maintaining instructional intentionality within rapid prototyping: AI-assisted development increased speed, but careful design decisions were still necessary to ensure interactions supported meaningful learning outcomes rather than novelty alone
AI platform usage limitations: Claude Design’s undisclosed credit usage system created development constraints during rapid prototyping and iteration. Because intensive interaction generation and refinement could quickly exhaust available credits, development required careful planning, prompt management, and prioritization of iterative changes within limited usage windows
Outcome
Outcome
This project demonstrates how AI-assisted development workflows can support the full development of immersive learning experiences while still requiring strong instructional design oversight and intentional decision-making.
By combining scenario-based learning, interactive simulations, and a modern SaaS-inspired interface, the experience transforms MRI safety training into a more engaging and application-focused learning environment. The course emphasizes behavior awareness and decision-making rather than passive content consumption, supporting learners in understanding both MRI safety procedures and the reasoning behind them.
It also reinforced the importance of maintaining instructional intentionality when using emerging AI design tools. While AI-assisted workflows accelerated visual prototyping and interaction ideation, meaningful learning outcomes still depended on thoughtful sequencing, scaffolding, and alignment between interactions and instructional goals.
Future iterations may include expanded branching logic, additional accessibility considerations, and deeper learner feedback mechanisms to further enhance realism and engagement.
Course Completion Results displayed as Certified L1
Certificate of Completion may be downloaded and shared
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