Remote Digital Therapy Monitoring and Delivery Platform
Empowering pediatric clinicians with real-time, AI-driven insights to personalize therapy for neurodiverse children.
Project Summary
Transform how pediatric clinicians manage therapy with Wellwave’s AI-powered clinician dashboard. Co-developed with top hospitals and research institutions, this immersive tool integrates real-time biometric data, gameplay insights, and stress analytics into one secure, intuitive interface. Designed for therapists working with neurodiverse children, it enables dynamic session control, predictive insights, and seamless documentation—replacing fragmented data streams with actionable intelligence.
Key Features:
- Live session monitoring and adaptive control
- Real-time biometric feedback (HR, stress signals)
- AI-driven recommendations based on individual response patterns
- HIPAA-compliant data capture for clinical review
Built with human-centered design and clinical collaboration, Wellwave empowers personalized care planning for ASD, ADHD, and other pediatric conditions.
Empower healthcare by delivering tailored therapies for professionals and children.
Amid COVID-19 challenges, including halted clinical trials, we saw the need to continue testing seamlessly. Leveraging the rise in telehealth, we aim to support healthcare professionals and aid children, especially those facing barriers to mental health support. In 2022, we partnered with the National Research Council's Innovation Lab to commercialize their remote digital therapy platform, customizing it for specific healthcare needs. Our project aims to establish a robust commercialization partnership and enhance distribution channels for our digital therapies, integrating them into healthcare system dashboards while maintaining stand-alone functionality.
Project Overview
Duration: February 2022- December 2023
My Role
Led product strategy, UX design, and research synthesis. Collaborated closely with clinicians, AI teams, and engineers to define MVP, prioritize features, and validate usability in clinical context
My Deliverables:
- Planning Phase - Monthly consultation meetings with healthcare providers to help determine core functionality and features.
- Collected and analyzed feedback from subject matter experts, and internal stakeholders with interaction designer.
- Worked with senior management and developed product plan and roadmap.
- Bi-Weekly production team meetings
- Coordinated with cross-functional team, including ML researchers, developers, and designers.
- Produced and reviewed product requirement documents.
- Worked with senior management to develop technical feasibility studies.
Tools Used:
- Adobe XD
- Adobe Illustrator
- Miro
- Teamwork (Project Management Software)
- Microsoft Teams
Type of Experience: Remote Digital Therapy Monitoring and Delivery Platform
Target Demographic: Health professional staff members at hospital, age range 25 – 55
Target Device: Web-based portal, with a Unity based facilitator app to engage the therapy sessions
Distribution: Internal hospital/ clinic use
Duration: Depending what on what type of session is selected for thepatient, approximately 6-15 minutes
Development Team:
PM: Brianna Lowe
Technical Lead: Ian Wood
Machine Learning Lead: Dr. Naimul Khan, Toronto Metropolitan University
Backend Development: David Rivest-Hénault, National Research Council Labs
Interaction Designer: Julieana Moon
Business Goal
To develop a remote therapy platform that deliverspersonalized mental health interventions and supports healthcareprofessionals—particularly in contexts where access to care is limited.
Strategic Objectives
Research & Discovery
Problem Definition
Key Design Decisions
Design Phases
Planning & Clinical Alignment
- Conducted monthly consultations with healthcare providers and ASD specialists to define core platform functionality
- Collaborated with internal stakeholders and subject matter experts to establish clinical and operational priorities
- Co-developed product roadmap and game design documentation outlining user needs, feature sets, and system behavior
Wireframing & Information Architecture
- Designed low-fidelity wireframes to establish data flow, session control, and user navigation within the dashboard
- Mapped platform components (biometric ingestion, clinician controls, data visualization, session logs) for seamless interaction
- Prioritized accessibility and clinical clarity in layout and hierarchy
Iteration & Feedback Integration
- Worked closely with interaction designers and clinicians to gather iterative feedback through design reviews
- Adjusted dashboard features based on insights from therapists, researchers, and AI developers
- Phased AI implementation to reduce complexity in early usability studies and improve clinician control
- Removed emotionally sensitive UI elements (like real-time check-ins) to ensure study integrity and neutral data collection
Prototyping & Usability Testing
- Built high-fidelity prototypes representing clinician workflows in session
- Conducted internal and external usability testing sessions to assess platform logic, session flow, and interface responsiveness
- Captured feedback on visual clarity, ease of use, and feature intuitiveness, informing final design decisions
- Supported REB submission and ethics planning for pilot testing with hospital partners
Challenges Faced
- Slower-than-expected feedback cycles from clinician groups due to healthcare workload
- Need to make iterative design decisions without full participant input at every stage
- Strategic compromise between stakeholder pace and project timelines
Next Steps
- Finalize technical feasibility and compliance requirements
- Prepare Health Canada submission framework
- Transition prototype to pilot implementation phase