Orsini Federico Filippo, Bellavia Daniele, Schettini Fabrizio, Foglia Emanuela
Healthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.
Healthcare (Basel). 2025 Jul 4;13(13):1604. doi: 10.3390/healthcare13131604.
BACKGROUND/OBJECTIVES: European healthcare systems are increasingly adopting automation technologies to improve efficiency. This study evaluates the economic viability of hospital automation and medication management digitalization.
An economic evaluation was based on a standardized hospital model comprising 561 beds, representative of an average acute care hospital across EU27 + UK. For each technology, several cost items were estimated using country-specific parameters such as labor costs, medication error rates, healthcare expenditure, and money discount rate. The financial metrics (Return On Investment-ROI, Net Present Value-NPV, Payback Time-PBT) were first calculated at the hospital level. These results were then extrapolated to the national level by scaling the per-hospital estimates according to the total number of hospital beds reported in each country. Finally, national results were aggregated to derive the overall European impact.
The analysis estimated a total European investment of EUR 3.55 billion, with an average PBT of 4.46 years and annual savings of 1,96 billion. ROI averaged 167%, and the total NPV was 8.21 billion. A major saving driver was the reduction in Medication Administration Errors that has an impact of 37.2% on the total savings. Payback times ranged from 3 years in high-GDP countries, to 7 years in lower-GDP nations.
These findings demonstrate how providing structured data on hospital automation benefits could support decision-making processes, highlighting the organizational and economic feasibility of the investment across different European national contexts.
背景/目的:欧洲医疗保健系统越来越多地采用自动化技术来提高效率。本研究评估医院自动化和药物管理数字化的经济可行性。
经济评估基于一个标准化的医院模型,该模型有561张床位,代表欧盟27国+英国的一家普通急症医院。对于每种技术,使用特定国家的参数(如劳动力成本、用药错误率、医疗保健支出和货币贴现率)估算了几个成本项目。首先在医院层面计算财务指标(投资回报率-ROI、净现值-NPV、回收期-PBT)。然后根据每个国家报告的医院床位总数,按每家医院的估算值进行缩放,将这些结果推算到国家层面。最后,汇总国家层面的结果,得出对整个欧洲的总体影响。
分析估计欧洲的总投资为35.5亿欧元,平均回收期为4.46年,每年节省19.6亿欧元。投资回报率平均为167%,总净现值为82.1亿欧元。一个主要的节省驱动因素是用药错误的减少,这对总节省的影响为37.2%。回收期从高GDP国家的3年到低GDP国家的7年不等。
这些发现表明,提供关于医院自动化效益的结构化数据如何能够支持决策过程,突出了在不同欧洲国家背景下投资的组织和经济可行性。