Data Mapping & Dictionary

The Data Mapping & Dictionary focuses on how AI technology enhances this critical component of the medical records integration system.

1. AI Mapping Assistant

   • A prominent section that showcases how the AI analyzes connected systems and proactively suggests improvements for data standardization, with specific examples like laboratory results inconsistencies and medication dosage formats.

2. Confidence Scores

   • Each mapping displays an AI-generated confidence score showing how certain the system is about the mapping's accuracy, helping users prioritize review efforts.

3. Automated Suggestions

   • The table includes an example of a real-time AI suggestion for mapping "Glycated Hemoglobin" to the standardized "Hemoglobin A1c" term, showing how the system can detect semantic equivalence.

4. DEfRAG Technology Highlight

   • The page explains how your proprietary DEfRAG technology analyzes data patterns to suggest optimal mappings based on industry standards and organizational usage patterns.

5. Automated Standards Updates

   • A feature section highlighting how AI validates and maintains mappings when terminology standards like LOINC and SNOMED CT are updated.

6. Natural Language Query Interface

   • An input field allowing users to ask questions about mappings in natural language.

7. On-premise AI Processing

   • Emphasis on data sovereignty, showing that all AI processing occurs within the customer's secure environment.

The page demonstrates how AI streamlines what would otherwise be a highly manual and error-prone process of maintaining standardized terminology across healthcare systems.