Knowledge Graphs
in Clinical Care

Healthcare providers struggle to extract actionable insights from vast amounts of unstructured patient data, limiting their ability to deliver precision medicine effectively.

• Implement knowledge graphs with patient records

• Identify complex clinical relationships

• Enhance precision medicine delivery

• Improve real-world patient outcomes

1. Data Architecture

• Patient record integration framework

• Knowledge graph schema design

• Clinical relationship mapping

• Real-time data processing pipeline

2. Technical Implementation

• Graph database deployment

• Clinical ontology development

• Machine learning integration

• Pattern recognition algorithms

3. Clinical Integration

• Workflow integration

• Clinical decision support

• Real-time insight delivery

• ·Outcome tracking system

Quantitative Outcomes

• Faster insight discovery

•  Improvement in pattern recognition

• Reduction in data query time

Clinical Benefits

• Improved patient care pathways

• Enhanced clinical decision-making

• Better treatment personalisation

• Advanced research capabilities

"Thank you, UMBIZO, for providing great work on this project. The team is very professional, highly knowledgeable, and thorough in their work. Their implementation of knowledge graphs has transformed our precision medicine capabilities. Looking forward to future collaborations!"

• Initial Development: 2 weeks

• Implementation: 2 weeks

• Ongoing optimisation

Expanding graph capabilities to include genomic data and developing predictive analytics modules.