TELENURSE--nursing classifications, quality indicators and the electronic nursing record

Area of Science:

• Nursing Informatics
• Health Data Management
• Clinical Classification Systems

Background:

• National and international clinical nursing databases are largely absent due to a lack of standardized terminologies and classifications.
• This deficit hinders data aggregation, analysis, and the comparison of nursing practices across different healthcare settings.
• The TELENURSE project aims to bridge this gap by focusing on data standardization and database development.

Purpose of the Study:

• To address the scarcity of nursing clinical databases by advancing the implementation of standardized nursing terminologies.
• To facilitate the electronic integration of the International Classification for Nursing Practice (ICNP) into electronic patient records.
• To establish a framework for a clinical nursing database capable of storing data from electronic nursing systems.

Main Methods:

• Developing methods for the electronic implementation of the International Classification for Nursing Practice (ICNP) within nursing modules of electronic patient records.
• Designing and developing a centralized clinical nursing database to store data extracted from various electronic nursing systems.
• Establishing a data infrastructure to enable the creation of nursing indicators from collected clinical data.

Main Results:

• The project focuses on two primary objectives: the electronic implementation of ICNP and the creation of a clinical nursing database.
• Successful integration of ICNP into electronic patient records is a key step towards standardized nursing data.
• The developed database infrastructure will enable the storage and analysis of clinical nursing data across Europe.

Conclusions:

• Standardizing nursing practice through classifications like ICNP is crucial for developing robust clinical databases.
• The TELENURSE project's initiatives lay the groundwork for a future where nursing interventions can be systematically compared across Europe.
• This work is essential for advancing evidence-based nursing practice and improving healthcare outcomes through data-driven insights.