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Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

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An HL7-CDA wrapper for facilitating semantic interoperability to rule-based Clinical Decision Support Systems.

Carlos Sáez¹, Adrián Bresó, Javier Vicente

¹Grupo de Informática Biomédica (IBIME), Instituto de Aplicaciones de las Tecnologías de la Información y de las Comunicaciones Avanzadas (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain. carsaesi@ibime.upv.es

Computer Methods and Programs in Biomedicine

|December 4, 2012

Summary

This study introduces a standardized method for integrating Clinical Decision Support Systems (CDSS) with Health Information Systems (HIS). The approach ensures semantic interoperability using HL7-CDA wrappers for consistent data exchange and valid clinical documentation.

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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

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Published on: September 20, 2018

Area of Science:

Health Informatics
Clinical Decision Support
Interoperability Standards

Background:

Clinical Decision Support Systems (CDSS) integration with Health Information Systems (HIS) is crucial for their effectiveness.
Existing methods for CDSS data input often lack standardization and focus on specific technologies.
There is a need for standardized output of CDSS knowledge for clinical and legal validity.

Purpose of the Study:

To propose a solution for semantic interoperability between rule-based CDSS and HIS.
To facilitate standardized input and output documents for CDSS using HL7-CDA.
To ensure clinical and legal validity of CDSS results as independent clinical documents.

Main Methods:

Development of a standardized HL7-CDA wrapper for CDSS input and output.
Definition of HL7-CDA restrictions through an implementation guide.
Implementation of an XML binding file for mapping patient data and rule inference results to/from the CDSS.

Main Results:

A proposed solution for semantic interoperability in rule-based CDSS.
Standardized input/output documents conforming to HL7-CDA.
A method for mapping data and results using XML binding.
Demonstrated application in a CDSS for diabetes mellitus patient care management.

Conclusions:

The proposed HL7-CDA wrapper facilitates semantic interoperability for rule-based CDSS.
Standardized documents enhance the clinical and legal validity of CDSS outputs.
The solution is applicable to real-world clinical decision support scenarios, such as diabetes care management.