Healthcare education and clinical training face several structural challenges. Access to live surgical environments is limited. Physical simulators require significant investment and are not easily scalable. Exposure to diverse clinical scenarios varies widely across institutions.
Business Challenge
Healthcare education and clinical training face several structural challenges. Access to live surgical environments is limited. Physical simulators require significant investment and are not easily scalable. Exposure to diverse clinical scenarios varies widely across institutions.
The client faced challenges, including:
- Limited access to realistic surgical simulations
- Inconsistent hands-on exposure for trainees
- Difficulty scaling training programs across locations
- Constraints around handling sensitive medical imaging data
- Lack of structured analytics to evaluate performance
Project Scope & Objectives
The project focused on building a scalable, immersive, and clinically relevant simulation platform for medical training.
The primary objectives were to:
- Strengthen understanding of surgical procedures and their complexity
- Support real-time and scenario-based learning
- Enable collaborative, multi-user training sessions
- Provide instructor-led guidance and evaluation tools
- Ensure accessibility across desktop, mobile, and immersive devices
- Handle healthcare imaging data responsibly
- Develop the platform under HIPAA compliance guidelines
The solution was planned as a long-term platform capable of evolving with new procedures, technologies, and training needs.
Our Approach
We approached the project with a focus on simplicity, scalability, and cross-platform accessibility. Instead of building separate applications for Android and iOS, we chose a unified development approach that would reduce maintenance effort while delivering a consistent user experience.
We designed the system architecture to include:
- A robust backend to manage expense workflows
- Cross-platform mobile application for end users
- Structured database for reliable data storage
- Cloud infrastructure to ensure performance and availability
This approach allowed us to deliver a future-ready solution aligned with the client’s operational needs.
Solution Overview
We designed and developed a modern surgical simulation platform that delivers realistic training experiences through advanced visualization and interaction technologies. The platform supports desktop-based simulation, mobile AR and VR experiences, and immersive headset-based environments.
The system includes instructor tools, analytics, and structured workflows to support guided training and evaluation. It was built with healthcare data sensitivity and regulatory considerations in mind. All applications and systems were developed under HIPAA compliance guidelines to support the responsible handling of medical data.
A phased delivery approach was adopted to ensure clarity, validation, and controlled progress at each stage.
Implementation Approach
The platform was delivered using a structured, phased development model. Each phase focused on validation, usability, and clinical alignment.
Phase 0 : Discovery and Clinical Workshops
This phase focused on requirement alignment and clinical understanding.
Key activities included:
- Stakeholder and clinical workshops
- Identification and prioritization of surgical procedures
- Definition of success and evaluation criteria
- Planning for haptics and hardware requirements
- Confirmation of MRI and DICOM dataset formats
- Definition of secure data transfer methods
This phase ensured alignment between clinical expectations and technical feasibility.
Phase A: Desktop Prototype
The first implementation phase focused on a desktop-based simulation prototype.
Key deliverables included:
- Development of a desktop-first simulator
- Implementation of a single orthopaedic procedure
- Multiplayer support for two to three participants
- Integration of MRI and DICOM data pipelines
- Instructor tools for observation and guidance
- Initial analytics for performance tracking
- Desktop user interface for rapid adoption
This phase validated core simulation mechanics and user workflows.
Phase B: Mobile AR and VR Expansion
This phase expanded access through mobile devices.
Key capabilities included:
- Smartphone-based AR and VR experiences
- Use of ARKit and ARCore for mobile builds
- Simplified mobile user interfaces
- Vibrotactile feedback experiments
- Broader usability testing with students
This phase focused on accessibility and early exposure before immersive hardware adoption.
Phase C: Headset Integration and Haptics Research
This phase introduced immersive experiences using dedicated hardware.
Key activities included:
- Development of a desktop-first simulator
- Implementation of a single orthopaedic procedure
- Multiplayer support for two to three participants
- Integration of MRI and DICOM data pipelines
- Instructor tools for observation and guidance
- Initial analytics for performance tracking
- Desktop user interface for rapid adoption
This phase validated core simulation mechanics and user workflows.
Phase B: Mobile AR and VR Expansion
This phase expanded access through mobile devices.
Key capabilities included:
- Smartphone-based AR and VR experiences
- Use of ARKit and ARCore for mobile builds
- Simplified mobile user interfaces
- Vibrotactile feedback experiments
- Broader usability testing with students
This phase focused on accessibility and early exposure before immersive hardware adoption.
Phase C: Headset Integration and Haptics Research
This phase introduced immersive experiences using dedicated hardware.
Key activities included:
- OpenXR-based headset builds
- Performance optimization for immersive environments
- Exploration of modular haptics interfaces
- Initial hardware testing and procurement planning
This phase focused on higher fidelity simulation and future extensibility.
Phase D: Pilot Deployment and Clinical Validation
The platform was deployed in selected medical schools or hospitals.
Key activities included:
- Pilot deployment in real training environments
- Collection of pre- and post-use metrics
- Feedback gathering from instructors and learners
- Iteration on simulation fidelity and workflows
This phase supported real-world validation and refinement.
Phase E: Validation, Hardening, and Launch
The final phase focused on readiness and stability.
Key deliverables included:
- Finalization of haptics integration
- Expansion of the orthopaedic procedure library
- Creation of standard operating procedures
- Development of training materials
- Preparation of validation and deployment reports
Post-launch plans included additional content packs, expansion into new surgical domains, and phased AI feature rollouts.
Integrations and Data Handling
The platform integrates with healthcare imaging and institutional systems to support secure and structured data workflows.
Key integrations include:
- Secure ingestion of client-provided MRI and CT datasets
- DICOM and PACS workflows using Orthanc
- Segmentation and model preparation using 3D Slicer
- Metadata support through FHIR endpoints
- Low-latency multiplayer networking solutions
- Institutional authentication using SAML and OAuth2
These integrations support interoperability while maintaining controlled access.
Key Features and Capabilities
Simulation and Learning Experience
- Multiplayer synchronous sessions with defined roles
- Desktop-first simulator for rapid adoption
- Mobile AR and VR access for broader reach
- Immersive headset mode for higher fidelity
- Realistic orthopaedic 3D models, simulations
Instructor and Evaluation Tools
- Live session monitoring and guidance
- Annotation and takeover tools
- Session recording and playback
- Structured debrief and evaluation support
Scenario Authoring and Control
- Scenario creation tools
- Difficulty scaling options
- Role-based access control
- Audit trails for activity tracking
Analytics and Assessment
- Task completion tracking
- Step timing analysis
- Movement efficiency metrics
- Error logging and review
Clinical Data and Imaging
- Patient-specific MRI and CT data ingestion
- DICOM and PACS workflow support
- Anonymization options for imaging datasets
Technology Stack
The platform is built using a secure and scalable enterprise-grade technology stack, consistent with patterns used in previous case studies.
Simulation and Runtime
- Unity for cross-platform development
- OpenXR for immersive headset runtime
- ARKit & ARCore for mobile AR experiences
Development and Tooling
- Git-based version control
- Unity CI/CD pipelines
- Device testing and regression validation frameworks
Physics and Simulation
- Unity PhysX for core physics simulation
- Modular architecture for future high-fidelity extensions
Imaging Pipeline
- DICOMweb for imaging access
- Orthanc for DICOM & PACS management
- Machine-assisted segmentation workflows
- 3D Slicer for segmentation and model preparation
Networking and Backend
- Secure API services
- PostgreSQL for structured data
- Time-series databases for analytics
- Photon, Mirror, or WebRTC for multiplayer networking
Security and Access Control
- TLS 1.3 for data in transit
- AES-256 encryption for data at rest
- Role-based access control
- Audit logging and activity tracking
HIPAA Compliance and Healthcare Data Security
All applications and systems developed as part of this platform are designed and built under HIPAA compliance guidelines. Healthcare data protection is considered throughout the development lifecycle.
Key considerations include:
- Secure handling of medical imaging data
- Support for anonymization of MRI and CT datasets
- Controlled access through role-based permissions
- Encrypted data storage and transmission
- Audit logs to track system and data access
These practices support the responsible use of healthcare data within training and simulation environments.
Assumptions and Dependencies
- The client provides MRI and DICOM datasets
- Secure data transfer and anonymization protocols are followed
- Clinical subject matter experts are available for validation
- Haptics hardware is optional and scoped separately
- Initial language support is limited to English
- Final procedure scope is confirmed during discovery
Conclusion
This case study highlights the design and development of an immersive surgical simulation platform for modern healthcare training. Through phased delivery, multi-device accessibility, and development under HIPAA compliance guidelines, the solution supports realistic learning experiences while maintaining responsible data handling.