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XML technologies for the Omaha System: a data model, a Java tool and several case studies supporting home healthcare
Pierpaolo Vittorini1, Antonietta Tarquinio, Ferdinando di Orio
1Department of Internal Medicine and Public Health, University of L'Aquila, Via S. Salvatore 1, 67010 L'Aquila, Italy. pierpaolo.vittorini@cc.univaq.it
Computer Methods and Programs in Biomedicine
|December 17, 2008
Summary
This study introduces an XML data model for the Omaha System, enhancing electronic health records (EHRs) for home healthcare nursing. This model facilitates better data management and integration in nursing practice.
Area of Science:
- Health Informatics
- Nursing Informatics
- Computer Science
Background:
- Electronic Health Records (EHRs) often use eXtensible Markup Language (XML) for data exchange.
- Existing EHR systems struggle to integrate with nursing's hierarchical problem-solving approach.
- International classification systems adapted for EHRs do not fully support nursing practice needs.
Purpose of the Study:
- To present an XML data model for the Omaha System taxonomy, specifically for nursing practice.
- To formally define EHRs tailored to the needs of nursing documentation and care.
- To address the incompatibility between sequential EHR event organization and nursing's hierarchical methods.
Main Methods:
- Development of an XML data model based on the Omaha System taxonomy.
- Implementation of a Java application prototype for managing these XML documents.
- Demonstration of transforming XML documents into web-based formats.
Main Results:
- A formal XML data model for the Omaha System, suitable for nursing EHRs, was created.
- A functional Java prototype demonstrated the management and transformation capabilities of the model.
- Case studies, including one from a Central Italy Health Center, validated the model's application.
Conclusions:
- The proposed XML data model effectively supports nursing practice within EHR systems.
- The Java application prototype proves the model's practical utility and adaptability.
- This work advances the integration of standardized nursing terminologies into digital health records.
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