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Semantically oriented EHR navigation with a patient specific knowledge base and a clinical context ontology
Tiago K Colicchio1, John D Osborne1, Clementino V Do Rosario1
1Informatics Institute, University of Alabama at Birmingham.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 15, 2024
Summary
This study introduces a clinical context ontology (CCO) to create patient-specific knowledge bases (PSKBs) from electronic health records (EHRs). This aims to improve EHR navigation and save clinicians valuable time.
Area of Science:
- Medical Informatics
- Knowledge Representation
- Clinical Decision Support
Background:
- Electronic Health Records (EHRs) face limitations impacting clinical workflow.
- Implicit contextual information in EHRs is often inaccessible.
Purpose of the Study:
- To develop a clinical context ontology (CCO) for structuring EHR data.
- To create patient-specific knowledge bases (PSKBs) from EHRs.
- To enhance EHR navigation and clinical decision-making.
Main Methods:
- Developed a clinical context ontology (CCO).
- Applied CCO to annotate structured and narrative patient data.
- Generated patient-specific knowledge bases (PSKBs) as concept-relationship-concept tuples.
- Created a semantically oriented patient summary application.
Main Results:
- Successfully created a CCO and PSKBs using real patient data.
- Demonstrated improved EHR navigation through a semantically oriented patient summary.
- Showcased potential time savings for clinicians.
Conclusions:
- A CCO and PSKB approach can formally represent patient care context.
- This method enhances EHR usability and efficiency.
- Further applications of PSKBs can improve various EHR functions.
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