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Related Concept Videos

Flow Sheet01:17

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Author Spotlight: Developing a Point-of-Care Hemoglobin Estimation Method for Anemia Management
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Developing a Quantitative Staffing to Workload Tool in an Ambulatory Setting.

Lindsay R Hennek1, Pawan Bhandari, Kelly Ashley

  • 1Author Affiliations: Nursing Administrator (Hennek, Ashley, Renneke, and Stransky), Chief Nursing Officer (McConnell), and Nursing Manager (Runge), Department of Nursing; Principal Health Systems Engineer (Dr Bhandari) and Senior Management Consultant (Mathew), Strategy Department; and Manager (Pederson) and Operations Manager (Slama), Operations Administration, Mayo Clinic Health System - Southwest Minnesota Region, Mankato.

The Journal of Nursing Administration
|May 15, 2023
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Summary
This summary is machine-generated.

Developing an ambulatory staffing tool helps outpatient settings match staff to patient visit volume. This data-driven approach aids management in optimizing resource allocation and budget adherence.

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Area of Science:

  • Healthcare Management
  • Operations Research
  • Health Services Research

Background:

  • Determining optimal ambulatory staffing based on patient visit volume is challenging.
  • Limited literature exists on developing such staffing-to-workload formulas for outpatient settings.

Purpose of the Study:

  • To develop a tool for aligning ambulatory staffing levels with patient visit volume in an outpatient setting.
  • To create a system that meets the needs of clinical staff, management, and leadership.

Main Methods:

  • A multidisciplinary team was assembled to create the staffing-to-workload tool.
  • The tool incorporates an automated dashboard for real-time staffing needs assessment.
  • It utilizes quantified workload metrics, prospective modeling, and historical data analysis.

Main Results:

  • The developed tool provides an automated dashboard for determining staffing requirements.
  • It enables prospective modeling to forecast future staffing needs.
  • Historical dashboards allow comparison of actual staffing (full-time equivalents) against outpatient volumes and budget.

Conclusions:

  • The tool offers a data-driven approach to ambulatory staffing optimization.
  • It facilitates better resource allocation and financial management in outpatient settings.
  • This system supports informed decision-making for staff, management, and leadership.