Limbix (by BigHealth)
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
The Intelligent Automation Platform for High-Performance Healthcare Operations
Notable is a sophisticated intelligent automation platform specifically architected for the healthcare sector. By 2026, it has solidified its position as the industry leader in bridging the gap between legacy Electronic Health Records (EHR) and modern patient experiences. The platform leverages a proprietary blend of Computer Vision (CV), Natural Language Processing (NLP), and Agentic AI to perform administrative and clinical tasks that previously required manual intervention. Its architecture is designed to interact with EHRs like Epic, Cerner, and Meditech at the UI layer or via API, mimicking human workflows to automate patient intake, scheduling, medical coding, and prior authorizations. Unlike horizontal RPA tools, Notable is 'healthcare-native,' meaning its models are pre-trained on medical ontologies and compliance frameworks. In the 2026 landscape, Notable acts as an 'AI Digital Assistant' for entire health systems, reducing provider burnout by offloading the 'pajama time' spent on documentation and facilitating a frictionless, digital-first patient journey that significantly improves Revenue Cycle Management (RCM) and clinical outcomes.
Advanced CV models that extract data from physical insurance cards with 99% accuracy in sub-second latency.
Evidence-based digital therapeutics for adolescent mental health and behavioral activation.
Predictive clinical and operational intelligence to fight death and waste in healthcare.
Predictive medical data and clinical insights for streamlined enterprise underwriting.
The professional medical network for clinicians, providing HIPAA-compliant AI and telehealth solutions.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
ML algorithms that analyze historical attendance and external variables to predict and fill high-risk gaps in the schedule.
AI agents that navigate payor portals, upload documents, and track status autonomously.
Conversational AI that allows patients to book complex multi-resource appointments via text.
NLP engine that reviews notes for HPI and ICD-10 coding accuracy before submission.
Technology that interacts with EHRs without requiring complex backend database modifications.
Analyzes patient responses during digital intake to flag high-anxiety or urgent clinical needs.
Patients spend 20+ minutes filling out paper forms, leading to data entry errors and long wait times.
Registry Updated:2/7/2026
Data is automatically synced into the EHR 'registration' fields.
Clinical staff sees 'Intake Complete' status in the provider dashboard.
Missing clinical data leads to claim denials and delayed payments.
Referrals are often lost in fax machines or never followed up on by the patient.