This curriculum uniquely merges technical proficiency (C# and Unity for simulation, AR, and VR development) with strategic healthcare innovation (FDA/SaMD pathways, HIPAA compliance, and Clinical Informatics).
This lesson introduces the healthcare ecosystem — the interconnected network of patients, providers, payers, regulators, and innovators. Understanding this ecosystem is critical for anyone entering healthcare technology, as it defines the context in which digital health solutions operate.
Stakeholder Map of a specific clinical problem.
L1.2: Principles of Design Thinking
This lesson introduces design thinking as a framework for solving complex problems in healthcare technology. Design thinking emphasizes empathy, creativity, and iterative testing — making it especially powerful for designing patient‑centered digital health solutions.
Persona/User Story (Patient or Clinician).
L1.3: Technical Architecture in Healthcare
This lesson introduces the technical architecture that underpins healthcare systems. Understanding how data flows between patients, providers, payers, and regulators is essential for designing secure, scalable, and compliant digital health solutions.
Idea sketch of a “Gameful” health intervention.
L1.4: Introduction to Technical Architecture
This lesson introduces the foundations of technical architecture in healthcare technology. Technical architecture defines how systems, applications, and data interact to deliver secure, scalable, and interoperable solutions. Understanding these basics prepares you to design and evaluate healthcare IT systems.
First look at C# scripting fundamentals.
Lesson
Focus
Key Deliverable/Concept
L2.1: C# and Object-Oriented Programming (OOP)
This lesson introduces C# programming and the principles of object‑oriented programming (OOP). C# is widely used in healthcare technology for building secure, scalable applications, and OOP provides the foundation for modular, reusable, and maintainable code.
This lesson introduces data storage and serialization in healthcare technology. Secure and efficient data handling is critical for patient records, analytics, and interoperability. Serialization allows complex objects to be converted into formats (JSON, XML, binary) that can be stored or transmitted across systems.
Implement basic JSON/CSV data persistence in C#.
L2.3: Unity Editor & Scripting Basics
This lesson introduces the Unity Editor and the basics of C# scripting. Unity is a leading platform for building interactive healthcare applications, simulations, and XR experiences. Mastering the editor and scripting fundamentals is essential for creating functional prototypes and production‑ready solutions.
A simple Unity scene with interactive objects.
L2.4: Version Control and Team Workflow
Version control is the backbone of collaborative software development. In healthcare technology projects, it ensures traceability, compliance, and teamwork. Git and GitHub are industry standards, enabling developers to track changes, collaborate, and maintain secure audit trails.
Git-push a fully version-controlled project to a remote repository.
Lesson
Focus
Key Deliverable/Concept
L3.1: Health Data Standards
This lesson introduces health data standards — the rules and formats that ensure healthcare systems can exchange information securely and consistently. Standards like HL7, FHIR, ICD, and SNOMED CT are essential for interoperability, compliance, and patient safety.
Conceptual design for a FHIR resource integration.
L3.2: Biostatistics and Data Analysis
This lesson introduces biostatistics and data analysis — the methods used to interpret healthcare data, identify trends, and support evidence‑based decision‑making. Biostatistics is essential for clinical research, public health, and digital health innovation.
Analyzing a public health dataset using a tool like Python/R (conceptual application).
L3.3: Data Visualization for Clinicians
This lesson introduces data visualization techniques tailored for healthcare. Clinicians rely on clear, actionable visuals to interpret patient data, monitor outcomes, and make evidence‑based decisions. Effective visualization bridges the gap between raw data and clinical insight.
Wireframe for a real-time clinical data dashboard.
L3.4: Healthcare Data Management
This lesson introduces healthcare data management — the processes of collecting, storing, securing, and sharing patient information. Effective data management ensures interoperability, compliance, and supports clinical decision‑making.
Design a tracking plan for a simulated intervention.
L3.5: Game/Simulation Analytics
This lesson introduces analytics in healthcare simulations and serious games. Simulation analytics help evaluate learner performance, patient safety scenarios, and training effectiveness. By tracking metrics, educators and clinicians can improve both training outcomes and system design.
Lesson
Focus
Key Deliverable/Concept
L4.1: Unity UI and Information Flow
This lesson introduces the Unity User Interface (UI) system and how to manage information flow in healthcare simulations. A clear, intuitive UI ensures clinicians and learners can interact effectively with digital health applications.
A complete, navigable patient intake form (Unity UI).
L4.2: Core Gameplay/Simulation Mechanics
This lesson introduces the gameplay and simulation mechanics that drive healthcare training applications. Mechanics define how learners interact with simulations, how feedback is delivered, and how clinical scenarios are modeled.
A 2D or 3D training module simulating a key clinical procedure.
L4.3: Simulation Feedback Systems
This lesson introduces feedback systems in healthcare simulations. Feedback is critical for guiding learners, reinforcing correct actions, and correcting mistakes. Effective feedback loops improve skill acquisition, confidence, and patient safety.
Whitebox/Blockout of a “Digital Clinic” training room.
L4.4: Physics and Realism in Simulation
Simulating physical interactions for medical device training or surgical practice using Unity Physics.
Implement realistic physics interactions on a medical asset.
L4.5: Simulation Prototyping in 2D/3D
This lesson introduces physics and realism in Unity healthcare simulations. Realistic physics enhances immersion, improves skill transfer, and ensures learners experience scenarios that closely mirror real clinical environments.
Lesson
Focus
Key Deliverable/Concept
L5.1: HIPAA, GDPR, and Data Privacy
This lesson introduces healthcare data privacy regulations — HIPAA (United States), GDPR (European Union), and related frameworks. These laws govern how patient data is collected, stored, and shared, ensuring confidentiality, integrity, and compliance.
Refactor a core system using Scriptable Objects for data management.
L5.2 – Networking and Cloud in Healthcare
This lesson introduces networking and cloud technologies in healthcare applications. Networking ensures secure communication between systems, while cloud platforms provide scalability, interoperability, and compliance for storing and processing patient data.
Develop a system that adjusts difficulty based on user performance.
L5.3: Cybersecurity in Healthcare
This lesson introduces cybersecurity principles and practices for healthcare systems. Cybersecurity protects patient data, ensures system integrity, and prevents breaches that could compromise patient safety and compliance.
Build a prototype using NLP to process sample clinical text.
L5.4 – FDA and SaMD (Software as a Medical Device)
This lesson introduces regulatory requirements for software classified as medical devices (SaMD). Understanding FDA guidelines and international standards is critical for developers building healthcare applications that directly impact patient diagnosis, treatment, or monitoring.
Implement a basic PCG system for a digital environment.
L5.5 – AI Governance and Ethical Bias
This lesson introduces AI governance frameworks and strategies to mitigate bias in healthcare AI systems. Governance ensures accountability, transparency, and fairness, while bias mitigation protects patients from inequitable outcomes.
Lesson
Focus
Key Deliverable/Concept
L6.1: Advanced Game/System Architecture
This lesson explores advanced architecture for healthcare simulations and serious games. Architecture defines how components interact — from UI and gameplay mechanics to data pipelines, cloud services, and compliance layers. A robust architecture ensures scalability, interoperability, and clinical reliability.
Refactor a core system using Scriptable Objects for data management.
L6.2: Adaptive and Personalized Interventions
This lesson explores adaptive and personalized interventions in healthcare simulations and applications. Adaptive systems adjust difficulty or content based on learner performance, while personalized interventions tailor experiences to individual patient or learner needs.
Develop a system that adjusts difficulty based on user performance.
L6.3: AI/NLP in Clinical Documentation
This lesson explores how artificial intelligence and natural language processing (NLP) can automate and enhance clinical documentation workflows. AI/NLP systems reduce clinician burden, improve accuracy, and enable structured data extraction from unstructured notes.
Build a prototype using NLP to process sample clinical text.
L6.4: Procedural Content Generation (PCG)
This lesson explores procedural content generation (PCG) — the use of algorithms to automatically generate dynamic simulation content. In healthcare, PCG can create varied patient scenarios, environments, and training cases, ensuring learners encounter diverse situations without manually designing each one.
Implement a basic PCG system for a digital environment.
Lesson
Focus
Key Deliverable/Concept
L7.1: Introduction to AR/VR Development
This lesson introduces augmented reality (AR) and virtual reality (VR) technologies for immersive healthcare training and simulation. AR overlays digital content onto the real world, while VR creates fully immersive environments. Both are transforming healthcare education, patient engagement, and clinical practice.
A functional VR Scene Setup with basic head/hand tracking.
L7.2: Spatial UX/UI and Locomotion
This lesson explores spatial user experience (UX/UI) design and locomotion systems in immersive AR/VR healthcare applications. Designing intuitive interfaces and safe locomotion methods ensures accessibility, reduces motion sickness, and improves clinical training effectiveness.
Implement a safe locomotion system and spatial UI.
L7.3: Haptics, Biometrics, and Feedback
This lesson explores haptic interfaces, biometric sensors, and feedback systems in immersive healthcare simulations. These technologies enhance realism, measure user performance, and provide adaptive feedback for training and patient care.
Design a prototype that uses haptic feedback for pain distraction.
L7.4: Telehealth and Remote Monitoring
This lesson explores telehealth platforms and remote patient monitoring (RPM). These technologies extend care beyond hospital walls, enabling clinicians to monitor patients in real time, improve access, and reduce costs while maintaining compliance and security.
Mockup of a virtual exam room interface.
Lesson
Focus
Key Deliverable/Concept
L8.1: Business Model Canvas for Health Tech
This lesson introduces the Business Model Canvas (BMC) as a strategic tool for designing, analyzing, and refining health technology ventures. The BMC helps innovators map out value creation, delivery, and capture in a structured, visual way.
Completion of a Business Model Canvas for the capstone project.
L8.2: Financials & Go-to-Market Strategy
This lesson explores how to build financial models and design a go‑to‑market (GTM) strategy for health technology solutions. Financial planning ensures sustainability, while GTM strategy defines how to reach customers, scale adoption, and compete effectively.
3-Year Financial Projection and a GTM timeline.
L8.3: Portfolio & Executive Presentation
This lesson focuses on building a polished portfolio and delivering an executive‑level presentation. A strong portfolio showcases your technical and strategic achievements, while an executive presentation communicates your solution’s value to stakeholders, investors, and employers.
A highly polished Executive Pitch Deck.
L8.4: Capstone Project: Final Validation
This final lesson brings together all the skills you’ve developed — from system architecture and adaptive interventions to AR/VR, telehealth, and business strategy. You’ll design, validate, and present a complete health tech solution as your capstone project.
The Final Capstone Project (Functional prototype + documentation + compliance plan).
Get Started Today!
No prior coding or clinical experience is required—just a drive to learn, collaborate, and make an impact on patient outcomes.
🎯 Who Is It For?
Graduates of this accelerator will possess the rare skillset to architect a digital therapeutic or medical training platform from concept to compliant commercial launch, translating complex medical needs into engaging, validated, and scalable technology solutions. This program is your fast track to high-value roles at health systems, biotech firms, medical device companies, and leading digital therapeutics startups.
