Building nursing's minimum data set: the results of a pilot study

Area of Science:

• Health Informatics
• Nursing Science
• Patient Care Data

Background:

• Nursing services lack visibility in national healthcare databases, hindering acknowledgment and reimbursement.
• Essential nursing data elements are often absent from current health information systems.
• Standardizing nursing data is critical for comprehensive patient care documentation.

Purpose of the Study:

• To identify essential nursing data elements for peri-operative and peri-procedural patient care.
• To evaluate instruments for identifying commonly used nursing diagnoses in surgical settings.
• To advocate for the inclusion of nursing data in national healthcare databases.

Main Methods:

• A pilot project surveyed healthcare professionals using three distinct instruments.
• The study focused on identifying nursing diagnoses during pre, intra, and post-operative phases.
• Data analysis aimed to determine the most effective instrument for capturing nursing data.

Main Results:

• The pilot project successfully identified key nursing diagnoses relevant to peri-operative care.
• One specific survey instrument was identified as the preferred choice for data collection.
• The study documented nursing diagnoses across all peri-operative stages.

Conclusions:

• Visibility of nursing data elements in national databases is essential for professional recognition and fair reimbursement.
• Standardized identification of nursing diagnoses can enhance the quality of peri-operative care documentation.
• Further implementation of selected instruments can improve nursing data integration into healthcare systems.