Knowledge Embedding
Trusted sources, such as medical literature and clinical practice guidance, can be loaded, split into manageable chunks, embedded, and stored in a vector database for later retrieval.
Health-AI-Engine Architecture
Evidence-grounded AI workflow architecture.
Health-AI-Engine is the retrieval-augmented architecture behind AIENT. It is designed to organize trusted knowledge, retrieve relevant context, and prepare reviewable workflow-support outputs for qualified professional oversight.
Patent pending: Health-AI-Engine technology supporting AIENT is the subject of U.S. Provisional Patent Application No. 63/885,517.
Architecture Diagram
Retrieval-augmented generation with clinician review.
The diagram shows how Health-AI-Engine can structure trusted medical knowledge into searchable embeddings, retrieve relevant evidence for a clinician-facing query, combine that evidence with the original question, and prepare draft workflow-support content for professional review.
Core Flow
Four stages from source knowledge to reviewable output.
Health-AI-Engine Retrieval
A clinician-facing query can be converted into an embedding and matched against the knowledge store to retrieve potentially relevant source chunks for review-support use.
Augmentation
Retrieved context can be combined with the original query to create a richer prompt for a large language model, while preserving a path back to supporting source material.
Reviewable Draft Support
The system can prepare draft summaries, recommendations, education text, or follow-up prompts for qualified clinician review before any use in patient-facing or care-related workflows.
Why It Matters
Built around evidence, context, and accountability.
Health-AI-Engine is intended to support evidence-aware workflows by grounding prompts in retrieved source context, making source material easier to trace, and keeping review responsibility with healthcare professionals and authorized staff.
Discuss Health-AI-EngineRequired Use Boundary
Health-AI-Engine and AIENT do not provide medical advice, diagnosis, treatment, emergency care, FDA-cleared functionality, clinical validation, autonomous clinical decision-making, or HIPAA-compliant infrastructure at this time. Outputs require professional review before use.
AIENT Connection
Architecture supporting the flagship ENT product.
Epic Sidecar Path
AIENT is being prepared first as an Epic sidecar, using Health-AI-Engine concepts to support reviewable specialty-care workflow assistance alongside existing clinical systems.
Standalone Roadmap
A standalone website experience is planned for the future, with the same professional-review language and claims boundaries used across the public site.
Clinician Approval
The architecture keeps clinicians and authorized staff responsible for interpretation, communication, patient-specific decisions, and final approval of any drafted content.
Patent Pending
Health-AI-Engine technology supporting AIENT.
U.S. Provisional Patent Application No. 63/885,517.