Evidence map›Paper›PMID 42877017›Full record

Observational studyFrontiers in public health2026

5G intelligent airport platform for UAV blood transport in Shenzhen China: a retrospective observational study.

Li Ning, Jinhong Liu, Sheng Zhang, Tailong Tan, Liqin Huang, Geng Zhang, Xuqun Wu, Litao Wu

Abstract readObservational Study
In one paragraph

Observational study in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Li NingShenzhen Blood Center, Shenzhen, China.
Jinhong LiuShenzhen Blood Center, Shenzhen, China.
Sheng ZhangShenzhen Bao'an District Central Blood Station, Shenzhen, China.
Tailong TanShenzhen Blood Center, Shenzhen, China.
Liqin HuangShenzhen Blood Center, Shenzhen, China.
Geng ZhangShenzhen Blood Center, Shenzhen, China.
Xuqun WuShenzhen Blood Center, Shenzhen, China.
Litao WuShenzhen Blood Center, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aims: Efficient and secure blood transport is critical in healthcare. Unmanned aerial vehicles (UAVs, drones) offer potential advantages in timeliness and safety, with more than 10 regions in China having implemented drone-based blood transport. However, challenges remain, including limited visual monitoring and management models constrained by specific drone types and operational conditions. Developing an open, collaborative, and intelligently managed drone transport platform is thus of significant value. Methods: Shenzhen Blood Center utilized 5G technology to enable intelligent closed-loop management of blood distribution, route planning, and emergency dispatch and hospital reception. The system supports real-time temperature monitoring and live video surveillance during flights. By integrating open drone airports and intelligent management systems, the first "5G-enabled Intelligent Airport Platform for Drone Blood Transportation" in China was established, accommodating multiple multi-rotor drone models. Its feasibility and operational effectiveness were systematically evaluated. Results: As of August 31, 2025, the platform includes two drone systems, 18 routes, and serves 15 hospitals. From January 1, 2024, to August 31, 2025, 11,784 flights transported 8,320.82 kg of blood, including 25,803 U of red blood cells, 3,383 therapeutic doses of platelets, 1,357,733 ml of plasma, and 10,314 U of cryoprecipitate. The cumulative flight time was 178,640.9 min, with an average flight duration of 15.2 min. Compared to ground transport, drones saved an average of 46.8 min (peak) and 32.3 min (off-peak). All blood products met temperature requirements, with no damage or temperature deviations recorded. Conclusions: This study demonstrates that a 5G-based drone platform reliably supports routine and emergency blood transport, ensuring timeliness and quality. It offers an innovative management model for blood collection and supply institutions. Future efforts will expand routes and coverage, enhance emergency supply capacity, establish a citywide drone blood transportation network and promote the low-altitude economy in healthcare.

Indexed as

AirportsUnmanned Aerial DevicesAircraftChinaHumansRetrospective Studies5G-enabled intelligent platformblood transportemergency blood supplyShenzhenunmanned aerial vehicles (UAVs)

Identifiers

PMID42877017
PMCPMC13661936

What OpenQuestion holds

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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.