NeuroStack™ White Paper: Cognitive Infrastructure + Data-Ready for Vertical Healthcare Agents
NeuroStack™ White Paper (v1.0)Date: November 3, 2025Author: Daniela Oliveira (CEO, NeuroStack - Brazil) This white paper introduces a new category: Cognitive Infrastructure + Data-Ready for Vertical Healthcare Agents.Rather than “selling AI”, NeuroStack defines an architecture-level approach to runtime cognitive governance for conversational healthcare agents—designed for real clinical journeys where decision-making, trust, safety, and conversion operate under high emotional load and risk. What this document covers The problem: conversational agents fail in healthcare across the journey, not in isolated answers. The category NeuroStack is creating: Cognitive Infrastructure for Healthcare Agents plus Data-Ready for a future Vertical Healthcare SLM. The NeuroStack architecture layers: SRM (Service Reasoning Modules), Prompt Engine, CTX (Context Orchestrator), RAG-Ready knowledge layer, and Memory Architecture 2.0, operating as a runtime reasoning stack. A reproducible validation protocol (NSVP) with incremental runs (A–D) to isolate causal gains by layer. Validation protocol (NSVP) Run A — LLM + simple promptRun B — LLM + simple prompt + simple RAGRun C — LLM + SRM + Prompt Engine + RAG-ReadyRun D — LLM + SRM + CTX + Prompt Engine + RAG-Ready + Memory Architecture 2.0 Notes This document describes a category and architecture. It is not medical advice and not a claim of clinical performance. Any healthcare automation must be validated and operated under applicable privacy, compliance, and clinical governance requirements. Keywords: cognitive infrastructure, healthcare agents, runtime governance, Service Reasoning Modules, SRM, prompt engine, context orchestration, memory architecture, RAG-Ready, data-ready, vertical SLM, clinical decision support, healthcare conversion, risk reduction
Institutions
- NeuroSearch (Denmark) (DK)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-11-03
- DOI
- https://doi.org/10.5281/zenodo.17971872
- Primary Topic
- Multi-Agent Systems and Negotiation
- Type
- article
- Field-Weighted Citation Impact
- 0.00