Can automation in radiotherapy reduce costs?

Area of Science:

• Radiotherapy
• Health Economics
• Medical Technology Assessment

Background:

• Computerized automation is increasingly vital in modern radiotherapy.
• A micro-costing model was developed to evaluate the economic impact of automation.
• Initial validation focused on estimating the financial consequences of introducing an automation tool.

Purpose of the Study:

• To implement and test a micro-costing model for economic evaluation in radiotherapy.
• To estimate the financial impact of integrating an automation tool within a radiotherapy department.
• To lay the groundwork for prospective, multi-center validation of the economic model.

Main Methods:

• An interactive spreadsheet model (Microsoft Excel, 2010) was utilized.
• Key variables included productivity, staff, and equipment costs.
• Workflow analysis and workload measures informed staff requirement calculations, with outcomes presented as earnings before interest and taxes (EBIT).

Main Results:

• Hypothesized scenarios included baseline, reduced treatment time, and increased advanced modalities.
• While costs slightly increased due to personnel, EBIT improved in scenarios 2 (30%) and 3 (28%) compared to scenario 1 (27%).
• The model predicted more favorable EBIT values for automation-integrated scenarios over an eight-year period.

Conclusions:

• The micro-costing model effectively estimated the financial impact of radiotherapy automation.
• Prospective data collection is underway for further model validation.
• The study supports the economic feasibility of automation in radiotherapy departments.