Drone Based Medical Delivery Service/ Kenneth M. Dela Rojo, Joshua Rey C. Espiritu, John Dominic E. Luzong and Francis John C. Mendoza.--
Material type:
TextPublication details: Technological University Of The Philippines, Manila. 2025Description: xi, 121 pages. 29 cmContent type: - BTH QA 76.9 D45 2025
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode |
|---|---|---|---|---|---|---|---|
Bachelor's Thesis CIT
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TUP Manila Library | Thesis Section-2nd floor | BTH QA 76.9 D45 2025 (Browse shelf(Opens below)) | c.1. | Not for loan | BTH0005960 |
Bachelor's thesis
College of Industrial Technology.-- Bachelor of Engineering Technology major in Computer Engineering Technology: Technological University Of The Philippines, Manila. 2025
Includes bibliographic references and index.
Aerial Unmanned Vehicle or (AUV) investigates the concept and development of
a drone-based medical delivery service that was envisioned to improve health care access
in remote regions. The work discusses the design and deployment of the system to enable
fast transportation of critical medical drugs and AEDs to areas inaccessible by conventional
transport means. The researchers used a mixed-methods approach, the study assesses the
system in accordance with established quality criteria on the ISO 25010:2011 System and
Software Quality Model. Major findings include the fact that drone delivery decreases the
time for responses during emergency operations. It is likely to improve the outcome of
people in critical care systems. Other findings from the study involve regulatory and issues
surrounding public perception that would influence the use of drone technology in
healthcare logistics. Ultimately, the research will help increase the knowledge regarding
innovative healthcare solutions and emphasize the integration of technological feats into
medical service delivery frameworks.
Keyword: Aerial Unmanned Vehicle (AUV), Automated External Defibrillators (AEDs),
Conventional transport, ISO 25010:2011, System and Software Quality Model, Drone
technology, Healthcare logistics, Innovative healthcare solutions, Technological
integration.
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