Project Overview

We developed a 15-module eLearning program, with each module focusing on a specific disease such as chest pain, diabetes, asthma, cardiovascular risks, and respiratory conditions.

Designed for healthcare officers, the course featured realistic patient cases complete with detailed medical histories, enabling learners to analyze symptoms, assess risks, and make well-informed clinical decisions.

A standout feature of this program was the interactive medical algorithm integrated into each module. This tool allowed learners to consult symptom checklists, diagnostic pathways, and treatment options in real time—making the training both a powerful learning experience and a valuable on-the-job reference.

Objective
& Scope 

The objective of this initiative was to enhance the clinical decision-making skills of healthcare professionals by integrating interactive diagnostic algorithms and case-driven learning into a structured 15-module eLearning program. The training aimed to improve accuracy in disease diagnosis, streamline decision-making, and ensure accessibility for all learners, making medical education more practical and engaging.

Challenges

01

Developing a Complex Interactive Algorithm

The course required a dynamic, interactive diagnostic tool that learners could consult throughout the training. Designing and integrating this within 15 modules while maintaining consistency was a significant challenge.

01

02

Ensuring Consistency Across Multiple Courses

With 15 diseases covered, it was crucial to maintain uniformity in look and feel while ensuring each module retained its unique patient storyline and learning objectives.

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03

Accessibility for All Learners

The modules were designed to be fully accessible, incorporating features for color-blind and visually impaired learners without compromising interactivity and user engagement.

03

Our Approach 

A Case-Based, Interactive, and Accessible Learning Experience

01

Case-Driven Learning for Real-World Relevance

Each module introduced a character with a medical history, guiding learners through symptoms, risk factors, and diagnostic considerations.

02

Interactive Algorithm for On-the-Spot Decision Making

A dynamically designed medical algorithm enabled healthcare officers to refer to symptoms, treatment protocols, and decision trees in real time, enhancing both learning and practical application.

03

Consistent Yet Engaging Design Across 15 Modules

We structured the learning experience to maintain a unified look and feel while ensuring each disease module remained distinct and relevant.

04

Built-in Quizzes with Immediate Feedback

Each module concluded with a knowledge check, providing instant feedback to reinforce learning and allow self-assessment.

05

Accessibility-First
Approach

The course adhered to accessibility standards, ensuring color-blind and visually impaired learners could engage fully through optimized color schemes, screen-reader compatibility, and high-contrast visuals.

Results
Delivered

Enhancing Diagnostic Training with Interactive Learning

Improved Decision-Making Skills

The real-time interactive algorithm provided a practical reference tool, boosting learners’ confidence in diagnosing and managing diseases.

Engaging & Interactive Learning Experience

The combination of case-based storytelling, decision-making pathways, and quizzes ensured high learner engagement and knowledge retention.

100% Accessibility Compliance

The course successfully catered to color-blind and visually impaired learners, making it inclusive and universally accessible.

High Client Satisfaction & Usability Across 15 Modules

The structured design and consistent learning experience made the program a benchmark for medical eLearning.

Engaging & Interactive Learning Experience

The combination of case-based storytelling, decision-making pathways, and quizzes ensured high learner engagement and knowledge retention.

Key Takeaways

Why This Approach Worked

Case-Based Learning Enhances Clinical Decision-Making

Using patient stories and real-world scenarios helped healthcare workers apply their knowledge in a practical, relatable way.

Accessible Design Expands Reach & Inclusivity

By designing for color blindness and vision impairments, we ensured the program could benefit all learners without limitations.

Interactive Algorithms Provide On-Demand Guidance

The integrated algorithm made the training both an educational tool and a field reference, bridging the gap between learning and real-life application.

Impact 

The eLearning program revolutionized disease diagnosis training by equipping healthcare officers with practical, case-driven learning and real-time decision-making tools. The integration of interactive medical algorithms enhanced diagnostic accuracy, improved clinical confidence, and provided on-the-spot guidance for healthcare professionals.

By ensuring full accessibility compliance, the training reached a diverse audience, making high-quality medical education more inclusive. This initiative set a new standard for digital medical training, bridging the gap between learning and real-world application.

This project demonstrates our expertise in designing structured, visually engaging, and interactive training solutions for global health initiatives. By integrating WHO’s PDR framework with engaging instructional design, we helped create a scalable and impactful training experience for regulators combating SF medical products.

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