Generating nurse profiles from computerized labor and delivery documentation.

Area of Science:

• Nursing Informatics
• Healthcare Management
• Data Science

Background:

• Computerized documentation is increasingly used in healthcare.
• Developing objective methods to assess nursing expertise is crucial for quality patient care.
• Labor and Delivery nursing involves managing diverse and complex patient conditions.

Purpose of the Study:

• To present methods for generating nurse profiles using computerized documentation.
• To introduce NuProGen (Nurse Profile Generator), a custom-built knowledge discovery tool.
• To identify patterns in nursing documentation and care for specific patient conditions.

Main Methods:

• Utilized NuProGen to analyze documentation from 91 Labor and Delivery nurses.
• Calculated the number of complex patient cases (high BMI, bleeding, multiple gestation) managed by each nurse.
• Examined documentation and nursing care patterns associated with the selected patient conditions.

Main Results:

• Generated individual nurse profiles based on case management data.
• Successfully identified patterns in nursing documentation and care.
• Supported the identification of expert and novice nurses for specific patient conditions.

Conclusions:

• Nurse profiling using computerized documentation is feasible and beneficial.
• NuProGen can aid in recognizing nursing expertise in specialized areas like Labor and Delivery.
• Nurse profile data offers valuable insights for professional development and resource allocation.