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The evolving role of analytics to determine hospital risk management staffing.

Journal of healthcare risk management : the journal of the American Society for Healthcare Risk Management·2018

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Determining hospital risk management staffing through analytics.

Chrystina M Howard¹, Kenneth W Felton

¹Senior Vice President, Willis Global Solutions Consulting Group.

Journal of Healthcare Risk Management : the Journal of the American Society for Healthcare Risk Management

|October 1, 2013

Summary

This study developed a method to collect time data from hospital risk managers. This data aims to objectively determine appropriate staffing levels for risk management functions.

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Area of Science:

Healthcare Management
Hospital Administration
Risk Management

Background:

Hospital risk management departments face challenges in objectively determining adequate staffing levels.
Current methods for assessing staffing needs may lack empirical data and justification.
Efficient resource allocation is crucial for effective risk management and patient safety.

Purpose of the Study:

To develop an independent research project for collecting time data from hospital risk managers.
To establish an objective and justifiable methodology for determining recommended staffing levels.
To support essential risk management activities and overall department functions.

Main Methods:

An independent research project was designed and implemented.
Time data was systematically gathered from hospital risk managers.
Data collection focused on activities supporting risk management and departmental operations.

Main Results:

The project successfully gathered time utilization data from risk managers.
The developed methodology provides an objective basis for staffing recommendations.
Findings can inform resource allocation for risk management departments.

Conclusions:

The developed research project offers a quantifiable approach to staffing decisions.
Objective time data can enhance the justification for risk management staffing levels.
This methodology supports improved operational efficiency and effectiveness in hospital risk management.