Oracle Semantic EHR Knowledge Relationships System
Summary
Oracle International Corporation has filed patent application US20260099732A1 for a system that integrates proprietary and standardized medical terminologies into electronic health record systems. The system creates a knowledge graph incorporating both terminology types and analyzes patient data against this graph to generate clinical decision support suggestions for the EHR system. Healthcare software developers and EHR vendors should monitor this application for potential implications on semantic interoperability in clinical systems.
What changed
Oracle International Corporation filed patent application US20260099732A1 for a system integrating proprietary and standardized medical terminologies into electronic health record systems. The invention creates a knowledge graph combining both terminology types, analyzes patient data (problem lists, medication lists, lab results) against the graph, and generates clinical decision support suggestions for display in the EHR system.
Healthcare software developers, EHR vendors, and health informatics professionals should monitor this patent application as it may influence future approaches to semantic interoperability and clinical decision support systems. The patent's scope covering terminology mapping and knowledge graph-based suggestions could affect how vendors approach interoperability standards in healthcare IT.
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- Monitor for updates
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Apr 9, 2026GovPing captured this document from the original source. If the source has since changed or been removed, this is the text as it existed at that time.
Creating Semantic Knowledge Relationships for Electronic Health Record Systems Content
Application US20260099732A1 Kind: A1 Apr 09, 2026
Assignee
Oracle International Corporation
Inventors
Natalee Agassi, Amitabh Saikia, Vadim Khotilovich, Raefer Christopher Gabriel, Jigar Shirish Patel, Suhas Srinivas Uliyar
Abstract
A system and method for enhancing electronic health record (EHR) systems through integration of proprietary and standardized medical terminologies. Embodiments proprietary terminology concepts from electronic sources and identifies matching standardized medical terminology concepts. A knowledge graph is generated, incorporating both proprietary and standardized concepts along with their relationships. The system receives patient data, including problem lists, medication lists, and lab results. This data is analyzed against the knowledge graph to generate suggestions for the EHR system. These suggestions are then provided to the EHR system for display, enhancing clinical decision support and improving patient care.
CPC Classifications
G06N 5/025 G16H 10/60 G16H 20/10 G16H 70/40
Filing Date
2025-08-14
Application No.
19299926
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