Specialty Neurology Practice Transforms Diagnostic Workflows with AI
Specialty Neurology Practice | Private Practice
Delivered a comprehensive AI-powered diagnostic support platform that automates pattern recognition, provides predictive insights, and positions the practice for productization.
The Challenge
Complex neuropsychological assessments required labor-intensive manual analysis of multimodal patient data, limiting diagnostic throughput and scalability.
- Manual analysis of cognitive assessment results was time-consuming and prone to inconsistency
- EEG and brain activity data required specialized interpretation that created bottlenecks
- Biometric sensor data and movement/motor test results were analyzed in isolation rather than holistically
- No systematic way to identify patterns across different data types for improved diagnostic accuracy
- Practice sought to productize their diagnostic methodology but lacked scalable infrastructure
Business Impact: The manual diagnostic workflow limited the number of patients that could be assessed, created inconsistencies in analysis, and prevented the practice from scaling their innovative methodology to help more patients.
Our Solution
Syrv.ai developed an AI-powered diagnostic support platform that integrates multimodal physiological data and provides pattern recognition, predictive insights, and a unified clinical dashboard.
Approach
- Discovery phase to map existing diagnostic workflows and identify integration points
- Data pipeline architecture to ingest cognitive, EEG, biometric, and motor assessment data
- Machine learning models for pattern recognition across multimodal physiological data
- Predictive modeling engine to surface treatment outcome insights
- Web-based dashboard for streamlined clinical workflow and visualization
- HIPAA-compliant infrastructure design throughout the platform
Technologies
Implementation Timeline
Discovery & Requirements
14 daysMapped existing diagnostic workflows, identified data sources, and defined integration requirements with clinical staff.
Deliverables
- Workflow documentation
- Data source inventory
- Technical requirements spec
- HIPAA compliance plan
Data Integration
21 daysBuilt secure data pipelines to ingest and normalize cognitive, EEG, biometric, and motor assessment data.
Deliverables
- Data ingestion pipelines
- Data normalization layer
- Secure storage infrastructure
- Data validation framework
Model Development
25 daysDeveloped and trained machine learning models for pattern recognition and predictive insights across multimodal data.
Deliverables
- Pattern recognition models
- Predictive analytics engine
- Model validation reports
- API endpoints
Dashboard & Deployment
15 daysBuilt clinical dashboard, conducted user acceptance testing, and deployed to production environment.
Deliverables
- Clinical dashboard UI
- User training materials
- Production deployment
- Monitoring & alerting
The Impact
Delivered a comprehensive AI-powered diagnostic support platform that automates pattern recognition, provides predictive insights, and positions the practice for productization.
Qualitative Outcomes
- Automated pattern recognition across multimodal physiological data
- Predictive insights to guide treatment decisions
- Integrated dashboard for streamlined clinical workflow
- Platform architecture ready for productization to other neuropsychologists
- Scalable infrastructure supporting practice growth
Quick Stats
Industry
Healthcare
Company Type
Specialty Neurology Practice
Company Size
Private Practice
Delivery Time
75 days
Compliance
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