Multi-Modal Neuro-Sensory Assessment Platform for Integrated Diagnostics

About the Project & Challenges

Complex neurological conditions don’t announce themselves through a single channel. A post-impact patient presents with headaches and dizziness, the symptoms that are non-specific by definition. 

The clinical pathway typically unfolds across separate specialist referrals: an ophthalmologist for vision, an audiologist for hearing, a vestibular therapist for balance. Each returns a separate report. A neurologist then synthesizes these in their head, manually, without a shared data model.

This is not a workflow inconvenience. It is an architectural failure. 

The three sensory systems (vision, hearing, and balance) are neurologically interconnected. A right-sided vestibulo-cochlear event will express itself across all three simultaneously. But when each assessment is conducted in isolation, the cross-modal pattern is statistically invisible. 

Clinicians see three borderline findings. They miss one coherent event. 

The Engineering Mandate

We designed a platform that could replace a three-specialist referral chain with a single clinical session, without sacrificing diagnostic rigor. 

The system needed to ingest physiological data from heterogeneous hardware sources, normalize it into a shared model, compute cross-modal correlations in real time, and produce a structured clinical output that a neurologist could act on immediately.

The mandate was not to build a better dashboard. It was to design an integrated system in which data, analysis, and clinical output are part of one continuous pipeline, not three loosely connected tools.