AI Knowledge Engine for Healthcare
A specialist healthcare research institute engaged Beyondsoft to use AI to consolidate, structure and apply knowledge held across a large body of legacy medical documents and research materials.
The goal was to make complex clinical knowledge easier to retrieve, review and use, while maintaining a transparent and controlled approach to AI-generated responses.
The challenge
Research on lumbar pain was distributed across historical texts, academic publications, reference materials and unstructured records.
The institute wanted to create a specialist knowledge graph that could bring these sources together, support structured reasoning and allow subject-matter experts to review and validate the information.
Our approach
Beyondsoft developed an enterprise knowledge and reasoning solution that combines knowledge-graph technology, ontology-based controls and retrieval-augmented generation.
The solution helps organisations address common challenges in enterprise AI, including:
- Disconnected knowledge held across multiple documents and systems
- The need for more reliable and traceable AI responses
- Complex reasoning across related information and concepts
- Security, permissions and data-governance requirements
Key capabilities
Structured knowledge foundation
The solution converts information from multiple sources into a structured knowledge graph, creating a more consistent foundation for search, retrieval and reasoning.
Controlled AI responses
Ontology-based controls and retrieval mechanisms help guide AI-generated responses towards approved knowledge sources and defined subject areas.
Transparent reasoning
Users can review the source material, knowledge connections and reasoning path that support an AI-generated response.
Expert-led refinement
Subject-matter experts can review information, update knowledge structures and refine the solution as new material becomes available.
Ongoing quality management
The solution supports continuous improvement through document ingestion, quality assessment, review workflows and performance monitoring.
Supporting practical healthcare knowledge use
By combining structured knowledge, expert review and AI-assisted reasoning, the solution helps specialist research teams make complex information more accessible, traceable and useful in their day-to-day work.