This platform uses conversational AI to automate clinical documentation for ABA providers, significantly reducing administrative time spent on notes and paperwork. It integrates with existing systems to generate payer-specific treatment plans, SOAP notes, and denial appeal letters while ensuring compliance. The service provides real-time outcome measurement and aligns documentation with value-based care metrics to improve efficiency and reduce staff burnout.
Funding
Funding not disclosed
Founders
Product
Problem
Board Certified Behavior Analysts (BCBAs) face significant time constraints in treatment planning and documentation, contributing to a shortage of behavioral healthcare professionals for children with autism. This administrative burden limits the time available for direct patient care and personalized treatment.
Solution
Neuromnia offers an AI-driven platform designed to automate clinical workflows and enhance BCBA productivity, addressing the critical shortage of behavioral healthcare professionals. The platform leverages generative AI and machine learning to streamline treatment planning, documentation, and modification, reducing the time required per plan from hours to minutes. By providing AI-powered insights and analytics, Neuromnia enables clinicians to optimize treatment processes, manage larger caseloads, and deliver more personalized care. The platform's AI co-pilot, Nia, suggests treatment components such as goals, intervention strategies, and procedures, further reducing repetitive tasks.
Target Audience
The primary target audience includes Board Certified Behavior Analysts (BCBAs), ABA therapists, and clinical researchers focused on improving treatment outcomes for individuals with autism.
Features
- AI-powered Treatment Plan Copilot that automates the generation, modification, and analysis of ABA treatment plans
- Integration with Llama 3.1 for natural language processing to generate behavior intervention plans and skill acquisition recommendations
- AI Chatbot to answer Registered Behavior Technician (RBT) questions using client-specific program data
- Multimodal therapy analytics using AI-powered audio, video, and text analysis of therapy sessions
- Biomarker-based personalization leveraging AI/ML on neurotech and phenotypic data for hyper-personalized interventions
- Video behavior analytics utilizing computer vision models to monitor and analyze behavior
- Integration with Azure's AI capabilities, including GPT-4o, for real-time, adaptive therapy plans