Surviving the ax. Developing an education allocation system to verify productivity and resource consumption

Area of Science:

• Nursing Education
• Healthcare Management
• Workforce Analytics

Background:

• Past workload assessments for nursing educators lacked accuracy, hindering resource consumption monitoring.
• Difficulty in quantifying nursing education department workloads impacted fiscal planning and resource allocation.

Purpose of the Study:

• To develop a reliable system for accurately measuring nursing educator workloads.
• To establish a fiscally sound method for determining Relative Value Units (RVUs) in nursing education.
• To improve productivity verification and resource consumption analysis within nursing education departments.

Main Methods:

• A 6-month time study was conducted to establish standard values for various nursing education workloads.
• An automated allocation system was developed and implemented using these standard values.
• Productivity standards were derived from the collected data to enable consistent workload measurement.

Main Results:

• The developed system allows for standardized measurement of nursing educator workload year-over-year.
• The system provides reliable decision support data for staffing models based on educational priorities.
• Accurate data on resource consumption and productivity within nursing education departments is now attainable.

Conclusions:

• The Nursing Education Allocation System offers a standardized and accurate method for workload measurement.
• This system enhances decision-making for staffing and resource allocation in nursing education.
• Improved workload quantification supports better fiscal management and productivity monitoring in nursing education.