Evidence map›Paper›PMID 40648628›Full record

ArticleHealthcare (Basel, Switzerland)2025

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

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

Erratum issuedAbstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Federico Filippo OrsiniHealthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.
Daniele BellaviaHealthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.ORCID 0000-0003-1342-5908
Fabrizio SchettiniHealthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.
Emanuela FogliaHealthcare Datascience LAB, LIUC-Università Carlo Cattaneo, 21053 Castellanza, Italy.ORCID 0000-0003-1381-9069

Funding

Becton Dickinson IH22066
6 · The paper itself

Abstract

BACKGROUND/

objectivesEuropean healthcare systems are increasingly adopting automation technologies to improve efficiency. This study evaluates the economic viability of hospital automation and medication management digitalization.

methodsAn 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.

resultsThe 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.

conclusionsThese 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.

Indexed as

economic impacthospital automationhospital digitalizationnet present valuepayback timereturn on investment

Identifiers

PMID40648628
PMCPMC12250059

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.