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自动化与数字化在医院药物管理中的影响:欧洲国家的经济分析

The Impact of Automation and Digitalization in Hospital Medication Management: Economic Analysis in the European Countries.

作者信息

Orsini Federico Filippo, Bellavia Daniele, Schettini Fabrizio, Foglia Emanuela

机构信息

Healthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.

出版信息

Healthcare (Basel). 2025 Jul 4;13(13):1604. doi: 10.3390/healthcare13131604.

Abstract

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.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

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。

方法

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。

结果

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。

结论

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。

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