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Using SNOMED CT Expression Constraints to Bridge the Gap Between Clinical Decision-Support Systems and Electronic
Begoña Martínez-Salvador1, Mar Marcos1, Alejandro Mañas2
1Dept. of Computer Engineering and Science, Universitat Jaume I, Spain.
Studies in Health Technology and Informatics
|September 1, 2016
Summary
This study explores using SNOMED CT Expression Constraint Language for mapping clinical decision-support systems (CDSSs) to electronic health records (EHRs). This improves data interoperability for better patient care.
Area of Science:
- Health Informatics
- Medical Informatics
- Computer Science
Background:
- Clinical decision-support systems (CDSSs) require seamless interaction with electronic health records (EHRs) to access patient data.
- Interoperability between CDSSs and EHRs is crucial for effective healthcare delivery.
- Current solutions often involve mediated schemas to unify data views.
Purpose of the Study:
- To investigate the application of SNOMED CT Expression Constraint Language (ECL) for defining mappings between mediated schemas and EHR schemas.
- To enhance the interoperability of CDSSs with EHR systems.
Main Methods:
- Utilizing a mediated schema approach to create a unified view of CDSS and EHR data schemas.
- Employing SNOMED CT Expression Constraint Language (ECL) to formally characterize the mappings required for this mediated schema.
Main Results:
- Demonstrated the feasibility of using SNOMED CT ECL for defining complex mappings between EHR data and a unified mediated schema.
- Established a method for creating robust and standardized interoperability configurations.
Conclusions:
- SNOMED CT ECL is a viable and effective tool for specifying the mappings necessary for EHR-CDSS interoperability.
- This approach facilitates better data exchange, supporting more informed clinical decisions.
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