Evidence map›Paper›PMID 40803708›Full record

ArticleVox sanguinis2025

Supplying whole blood with drones for prehospital transfusion at trauma sites in Finland: A simulation.

Panu Erästö, Milla Juntunen, Jukka Pappinen, Jouni Nurmi, Jarkko Ihalainen, Jouni Lauronen, Mikko Arvas

Abstract read
In one paragraph

Article in Vox sanguinis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Prehospital transfusion strategies in haemorrhagic shock.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Panu ErästöDepartment of Information and Service Management, Aalto University School of Business, Espoo, Uusimaa, Finland.ORCID https://orcid.org/0009-0004-4783-8617
Milla JuntunenFinnish Red Cross Blood Service, Vantaa, Finland.
Jukka PappinenFaculty of Medicine, Department of Public Health, University of Helsinki, Helsinki, Finland.
Jouni NurmiEmergency Medicine and Services, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Jarkko IhalainenFinnish Red Cross Blood Service, Vantaa, Finland.
Jouni LauronenFinnish Red Cross Blood Service, Vantaa, Finland.
Mikko ArvasFinnish Red Cross Blood Service, Vantaa, Finland.ORCID https://orcid.org/0000-0002-6902-8488

Funding

Advisory Board For Defence (MATINE) of Finland
6 · The paper itself

Abstract

BACKGROUND AND

objectivesPrehospital transfusion is now increasingly used in civilian and military medicine. Blood products are, however, perishable and rarely needed in civilian settings. Given the rapid development of drone-based logistics and Finland's low population density, we aimed to build a computational framework to assess the feasibility and requirements of drone-based delivery of blood products to trauma sites. Unlike previous studies, which focus mostly on deliveries to hospitals in compact urban areas, we model direct deliveries to trauma scenes across an entire sparsely populated country. MATERIALS AND

methodsWe used predicted trauma data on a 1 × 1 km grid covering Finland. Drone base locations were optimized using mixed-integer linear programming, and drone operations were analysed with a discrete event simulation model. Our approach combines strategic location optimization with operational-level simulation and is grounded in high-resolution, real-world data-driven trauma demand estimates.

resultsWith 20 base locations and drones capable of a 60-km delivery range, over 80% of predicted trauma events can be reached. If drones can return to base, one drone per base is typically sufficient due to the rarity of missions.

conclusionsWe present a novel computational framework for simulating drone-based blood delivery to trauma scenes. Our results suggest that while current drone capabilities may still be limited, the approach is promising for countries with similar geography. The framework is adaptable and can support planning in other regions with reliable trauma demand data.

Indexed as

Blood TransfusionEmergency Medical ServicesWounds and InjuriesComputer SimulationFinlandHumansblood productdroneoptimizationprehospital transfusionsimulationtraumawhole blood

Identifiers

PMID40803708
PMCPMC12511842

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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 OpenQuestion graph.