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A modified method of activity-based costing for objectively reducing cost drivers in hospitals
1Department of Medical Informatics and Pharmaceutics, Niigata University Graduate School of Medical and Dental Sciences, Niigata 951-8520, Japan. caopeng@med.niigata-u.ac.jp
This study introduces a cost driver reduction (CDR) method to simplify activity-based costing (ABC) in healthcare. The CDR method achieves accurate cost allocation with fewer cost drivers, reducing data collection burdens.
Area of Science:
- Healthcare Management
- Health Economics
- Cost Accounting
Background:
- Activity-based costing (ABC) is crucial for precise indirect cost allocation in medical services.
- The extensive data collection for cost drivers in ABC can be burdensome and time-consuming.
- There is a need for efficient methods to reduce the complexity of cost driver identification in healthcare settings.
Purpose of the Study:
- To develop an objective method for reducing the number of cost drivers used in the Activity-based Costing (ABC) framework.
- To simplify the process of indirect cost allocation in medical services while maintaining accuracy.
Main Methods:
- The proposed Cost Driver Reduction (CDR) method objectively selects surrogate cost drivers for each activity within ABC.
- Candidate cost drivers are evaluated based on their similarity to the proper cost driver using an evaluation function.
- The method temporarily allocates indirect costs using candidate drivers to assess their suitability.
Main Results:
- Application of the CDR method to laboratory tests reduced the number of cost drivers from seven to four.
- Cost estimations using the CDR method demonstrated accuracy comparable to the traditional ABC method.
- The study successfully validated the effectiveness of CDR in simplifying cost driver selection.
Conclusions:
- The CDR method offers a significant simplification of hospital cost estimation compared to standard ABC.
- It provides accurate cost allocation results, similar to the established ABC method.
- This approach reduces the workload associated with data collection for cost drivers in healthcare.
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