Coupling the N-CODES system with actual nurse decision-making.

Area of Science:

• Nursing Informatics
• Clinical Decision Support Systems
• Human-Computer Interaction

Background:

• Effective clinical decision support systems (CDSS) require seamless integration into nursing practice.
• Nurses' direct involvement is crucial for designing practical and user-centered systems.
• Novice nurses particularly benefit from decision support tools to enhance clinical judgment.

Purpose of the Study:

• To evaluate the initial trial of the Nurse Decision Support System (N-CODES).
• To assess the adequacy of N-CODES' theoretical framework and knowledge base for nursing decision-making.
• To identify areas for improvement in the N-CODES system before further testing.

Main Methods:

• A pilot study involving twelve nurses to test the N-CODES system.
• Examination of the system's theoretical underpinnings and knowledge base structure.
• Gathering feedback on the system's usability and relevance to clinical decision-making.

Main Results:

• The theoretical framework requires revision to accurately reflect nurses' decision-making processes.
• The information sequencing within N-CODES was deemed appropriate.
• The knowledge base development process needs greater transparency for nurse users.

Conclusions:

• Nurses' active participation is essential for developing effective clinical decision support systems.
• N-CODES shows promise but necessitates modifications to its theoretical framework and knowledge base transparency.
• Further trials are planned to assess N-CODES in real-world clinical settings following revisions.