Author
Listed:
- Patricia Acosta-Vargas
(Intelligent and Interactive Systems Laboratory, Ingeniería Industrial, FICA, Universidad de Las Américas, Quito 170125, Ecuador)
- Gloria Acosta-Vargas
(Medicine Faculty, Pontificia Universidad Católica del Ecuador, Quito 170143, Ecuador)
- Mateo Herrera-Avila
(Intelligent and Interactive Systems Laboratory, Ingeniería Industrial, FICA, Universidad de Las Américas, Quito 170125, Ecuador)
- Belén Salvador-Acosta
(Facultad de Medicina, Universidad de Las Américas, Quito 170125, Ecuador)
- Juan Pablo Pérez-Vargas
(Facultad en Telecomunicaciones, Universidad de Cuenca, Cuenca 010201, Ecuador)
- Eduardo A. Donadi
(Department of Medicine, Division of Clinical Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto 14049-900, SP, Brazil)
- Luis Salvador-Ullauri
(Department of Software and Computing Systems, University of Alicante, 03690 Alicante, Spain)
Abstract
Artificial intelligence (AI)-enabled unmanned aerial vehicles (UAVs) are rapidly emerging as transformative technologies for sustainable healthcare logistics, particularly in remote and infrastructure-constrained regions. Despite growing implementation, the environmental, social, and governance (ESG) implications of these systems remain insufficiently synthesized in the literature. This study conducts a PRISMA-ScR-guided Systematic Review of 37 peer-reviewed studies selected from 333 records across six major scientific databases (2015–2026). The analysis reveals a sharp acceleration of research after 2021, with over 80% of publications produced between 2021 and 2024, indicating increasing global interest in AI-supported autonomous medical logistics. Evidence demonstrates that AI-enabled drones can substantially reduce delivery times; expand access to blood, vaccines, and essential medicines; and enhance emergency response capacity in rural and disaster-affected environments. From a sustainability perspective, AI-driven route optimization and autonomous navigation may reduce transport-related emissions, supporting climate-responsive healthcare supply chains. However, large-scale deployment remains constrained by regulatory fragmentation, cybersecurity risks, operational limitations, and challenges with social acceptance. This review proposes an ESG-oriented framework linking technological innovation, ethical governance, and equitable healthcare access while identifying key research gaps in lifecycle sustainability assessment, cost-effectiveness modeling, and real-world implementation aligned with the Sustainable Development Goals (SDGs).
Suggested Citation
Patricia Acosta-Vargas & Gloria Acosta-Vargas & Mateo Herrera-Avila & Belén Salvador-Acosta & Juan Pablo Pérez-Vargas & Eduardo A. Donadi & Luis Salvador-Ullauri, 2026.
"Sustainable AI-Enabled UAV Healthcare Logistics: Environmental, Social, and Governance Implications from a PRISMA-ScR Review,"
Sustainability, MDPI, vol. 18(6), pages 1-42, March.
Handle:
RePEc:gam:jsusta:v:18:y:2026:i:6:p:3140-:d:1901366
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