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Related Experiment Video

Updated: Jun 13, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Effective cost modeling for service line planning.

Michael Scott¹, Robert Stephen

¹Wipfli LLP, Eau Claire, WI, USA. mscott@wipfli.com

Healthcare Financial Management : Journal of the Healthcare Financial Management Association

|May 8, 2010

Summary

Accurate cost data is crucial for healthcare service line success. Process-based cost modeling offers a new approach to understanding patient costs and improving financial performance.

Area of Science:

Health Services Research
Healthcare Management
Cost Accounting

Background:

Healthcare executives face challenges in obtaining accurate, real-time data for service line performance monitoring.
Traditional cost accounting methods may not adequately capture the complexities of healthcare delivery.
Process-based cost modeling, while established in other sectors, is emerging in the healthcare industry.

Purpose of the Study:

To introduce and advocate for the adoption of process-based cost modeling in healthcare.
To highlight the importance of granular cost and resource information for service line management.
To demonstrate how understanding costs at process and patient levels impacts financial outcomes.

Main Methods:

Application of process-based cost modeling principles to healthcare service lines.

Related Experiment Videos

Last Updated: Jun 13, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

Analysis of cost and resource allocation at the process and patient levels.

Monitoring of service line financial performance using the developed cost models.

Main Results:

Process-based cost modeling provides a more accurate understanding of healthcare costs.
Detailed cost insights enable better identification of profitable and unprofitable service lines.
Improved financial monitoring through granular cost data.

Conclusions:

Process-based cost modeling is a valuable tool for enhancing healthcare financial management.
Accurate cost information at the process and patient level is critical for service line profitability.
Adoption of this methodology can lead to improved resource allocation and financial performance in healthcare organizations.