Time-driven activity-based costing in an outpatient clinic environment: Development, relevance and managerial impact
Introduction
One of the key challenges to the continued viability of healthcare organizations is the development of relevant and accurate cost information on which to base strategic, pricing and management decisions [1], [2], [3], [4], [5]. Recently, healthcare organizations have started to invest in more sophisticated cost-accounting systems, such as activity-based costing (ABC) [6], [7], [8], [9], [10]. ABC is an advanced cost calculation technique that allocates resource cost to products based on resource consumption. Researchers have claimed that, since ABC may provide greater visibility into organizational processes and their cost drivers, it may allow managers to eliminate costs related to non-value added activities and improve the efficiencies of existing processes [7], [8], [11], [12]. This process is also referred to as activity-based management.
While several articles have advocated the use of ABC by service organizations in general and healthcare organizations in particular [6], [8], [9], [10], there is, nevertheless, need for some degree of caution. Lievens et al. [7] and King et al. [13], for example, argue that a potential drawback of ABC systems lies in the time and resource consumption associated with the development and management of these systems. Kaplan and Anderson [14] note that the high time and cost to estimate an ABC model and to maintain it – through re-interviews and re-surveys – has been a major barrier to widespread ABC adoption. In a similar vein, Everaert et al. [15] claim that many managers who have tried to implement ABC in their organizations, including healthcare managers, have abandoned the attempt in the face of rising costs and employee irritation.
In order to overcome the difficulties of ABC, Kaplan and Anderson [14], [16], developed a new approach to ABC, called time-driven ABC (TDABC). A TDABC model can be estimated and installed quickly as estimates of only two parameters are required: (1) the unit cost of supplying capacity and (2) the time required to perform a transaction or an activity. The breakthrough of TDABC lies in the usage of time equations to estimate the time spent on each activity [17]. Through the inclusion of multiple time drivers, the time-driven approach to ABC can capture the complexities of organizations far more simply than the traditional ABC system could, which might well have had to account for varying transaction times by treating each variant of the process as a distinct activity [14]. Hence, TDABC seemingly provides many opportunities to design cost models in environments with complex activities, as in healthcare organizations, and service organizations, in general.
This paper describes the development and application of a TDABC system for an outpatient clinic in Belgium. The outpatient clinic is a consultation department where physicians with different specializations have their office hours and where patients, after having an appointment, receive medical advice. Depending on this advice further medical treatment or hospitalisation takes place. By definition, all outpatient facilities are alike in having no overnight patients.
While previous accounting studies have explored the development and the role of cost-accounting studies in more traditional hospital contexts [2], there has been relatively little analysis of the development and managerial impact of cost systems in an outpatient clinic. This lack of attention might be partly due to the absence of a legal framework to report and register all costs in an outpatient clinic environment [4]. Outpatient clinic services, however, are an important part of the healthcare services sector [18]. An increasing number of community-level outpatient clinics are satellites of larger medical centres or systems, and are thus part of a complex that can emphasize continuity of care. This trend toward increased outpatient health care corresponds with a growing workload at many outpatient clinics [18]. From an empirical standpoint, the outpatient clinic therefore offers an attractive context for this study.
The remainder of this paper is organized as follows. In Section 2, we briefly address the technique of TDABC. In Section 3, we present the TDABC outpatient clinic case. In Section 4, we describe how the TDABC information induced improved decision making in this case. We end with concluding remarks.
Section snippets
From ABC to TDABC
Lately, hospital studies are applying more and more the basic principles of ABC to healthcare organizations. Proponents of ABC argue that it helps healthcare organizations more accurately understand their costs and helps avoid suboptimal and often disastrous decisions about prices, product mix and planning and control [4], [6], [7], [8], [9], [10]. The core idea behind ABC is that the production of a cost object (e.g. products, customers) generates activities which consume resources (e.g.
Research setting and data gathering process
The outpatient clinic we studied, is situated in Belgium, has her own management and consists of 19 independent departments (i.e., specialties). For this study we collected data for five departments: Urology, Gastroenterology, Nose-Throat and Ears, Plastic Surgery, and Dermatology. These departments were chosen on the base of multiple criteria. First, as most of these departments were characterized by a medium to high number of patient visits and a growing workload, the clinic's managers argued
The benefits of TDABC: some management implications
The TDABC system provided accurate and relevant information to both healthcare managers and physicians which assisted them in operational improvements (Section 4.1), making a profitability analysis per department (Section 4.2), deciding on future investments (Section 4.3).
Conclusion
In this paper we try to explain the development, the relevance and the managerial impact of TDABC in an outpatient clinic environment. The TDABC system seems to be well suited since it incorporates next to the advantages of the traditional ABC system some extra features like faster model adaptability, a simpler set-up and a higher reflection of the complexity of the real-world operations. The TDABC model in this paper was set up for five different departments: Urology, Gastroenterology, Plastic
Acknowledgements
The authors want to thank Jozef-Hendrik Melsens for his assistance in the data collection, two anonymous HP reviewers for their useful comments and the HP editorial office.
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