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Cardiac arrest

Drone AED network modelling for Scotland

A Bayesian learning approach for drone coverage network: A case study on cardiac arrest in Scotland
Reliability Engineering & System Safety · Added 25 September 2026

Bayesian optimisation of a drone-assisted AED delivery network using geographically referenced Scottish cardiac arrest data — station placement driven by OHCA survival probability and existing EMS coverage, with cost-effectiveness analysis suggesting drone AED delivery is cost-effective and could meaningfully improve response coverage in rural areas with long ambulance response times.

Study type

Modelling

Design

Bayesian optimisation modelling of drone-assisted AED network

Participants

Geographically referenced Scottish cardiac arrest data (number not reported)

Main finding

Optimised station placement based on OHCA survival probability suggests drone-assisted AED delivery is expected to be cost-effective on QALY grounds and could significantly improve response coverage in rural and urban areas with long ambulance response times

Caveat

Modelling study, not an implemented or evaluated service

Bottom line

Hypothesis-generating

Learning goal

Understand how drone-delivered AED networks could improve response coverage in rural Australian communities.

More

• Topic: Cardiac arrest
• Daily scan: 25 September 2026

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