NeuroMAP

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  NeuroMAP Platform

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Inspiration: The inspiration behind NeuroMAP comes from a simple observation: the limit of rehabilitation is not therapy. It is continuity. In pediatric rehabilitation, therapists often seen patients only a few hours each month, while most rehabilitation activities take place at home. Valuable information is frequently lost between clinical visits, making it difficult to maintain therapeutic continuity, monitor adherence, and understand what is happening throughout the rehabilitation journey.

We wanted to explore how technology could help bridge this gap by connecting therapists, caregivers and patients through a shared rehabilitation ecosystem.

What it does

NeuroMAP is a hardware-software platform enhanced by AI that improves therapeutic continuity and adherence in pediatric rehabilitation.

The platform connects therapists, caregivers and patients through structured rehabilitation workflows, caregiver feedback collection and longitudinal rehabilitation records.

The HackRome prototype focuses on the NeuroMAP Continuity Layer, enabling:

• AI-powered therapist note structuring
• Caregiver voice feedback collection
• Automatic transcription and organization of observations
• Longitudinal rehabilitation timelines
• Session comparison and historical review

By centralizing information generated both in clinical settings and at home, NeuroMAP helps bridge the gap between rehabilitation sessions and daily life.

How we built it

We built the NeuroMAP Continuity Layer using Lovable for rapid prototyping and OpenAI-powered workflows for information organization and documentation support.

The system was designed around three key stakeholders:

Therapists Caregivers Patients

The prototype combines therapist session documentation, caregiver voice observations and AI-powered information structuring into a unified longitudinal rehabilitation timeline.

Our goal was to validate the workflow and user experience rather than simply create another AI dashboard.

Challenges we ran into

Challenges We Ran Into

The biggest challenge was translating a much broader vision into a one-day hackathon prototype.

NeuroMAP is envisioned as a complete rehabilitation ecosystem that combines hardware, software and AI. In a limited timeframe, we had to identify the most valuable component to prototype.

Another challenge was ensuring responsible AI usage. We intentionally designed the system to organize and structure information rather than provide diagnoses, treatment recommendations or clinical conclusions.

Finally, we needed to balance technical execution with real clinical relevance, focusing on continuity, adherence and longitudinal visibility rather than technology alone.

Accomplishments that we're proud of

Winning a university startup pitch competition, earning a Boston Study Tour for the CEO and a Shenzhen Study Tour for the CTO. Receiving positive feedback and validation from healthcare professionals and rehabilitation stakeholders. Generating interest from organizations such as TiCe Kids and AIRETT, confirming the relevance of the problem NeuroMAP addresses. Successfully transforming a broader rehabilitation platform vision into a functional continuity-of-care prototype during HackRome. Demonstrating how AI can support rehabilitation workflows without replacing clinical judgment.

What we learned

Continuity is one of the most overlooked challenges in rehabilitation. Caregiver observations contain valuable information that is often lost between visits. AI creates the most value when organizing information rather than replacing healthcare professionals. Longitudinal rehabilitation data can become a powerful tool for improving visibility, engagement and adherence. Therapists, caregivers and patients benefit most when rehabilitation information is centralized into a single ecosystem.## What's next for NeuroMAP Integration with real rehabilitation workflows and clinical environments. Expansion of the platform toward geriatric rehabilitation use cases. Development of NeuroMAP sensorized rehabilitation hardware. Advanced longitudinal analytics and home activity monitoring. Integration within the broader NeuroRA ecosystem, enabling connected rehabilitation pathways across different patient populations and care settings. Further validation with rehabilitation professionals, healthcare organizations and patient associations.

Built With

• github
• lovable
• openai