Integrating drones into NHS patient diagnostic logistics systems: Flight or fantasy?

Oakey, A., Grote, M., Smith, A. orcid.org/0000-0001-8197-1690 et al. (4 more authors) (2022) Integrating drones into NHS patient diagnostic logistics systems: Flight or fantasy? PLOS ONE, 17 (12). e0264669. ISSN 1932-6203

Abstract

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Item Type: Article
Authors/Creators:
Editors:
  • Yu, V.
Copyright, Publisher and Additional Information:

© 2022 Oakey et al. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.

Dates:
  • Published: 22 December 2022
  • Published (online): 22 December 2022
  • Accepted: 2 August 2022
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Sustainable Transport Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 06 Sep 2024 09:21
Last Modified: 06 Sep 2024 09:21
Status: Published
Publisher: Public Library of Science
Identification Number: 10.1371/journal.pone.0264669
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 13: Climate Action
Open Archives Initiative ID (OAI ID):

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