Dr-UBER: Drone Network for Medical Emergency Delivery in Essex

  • Funded by UK Research and Innovation (UKRI)
  • Total publications:0 publications

Grant number: 10107757

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Key facts

  • Disease

    Disease X
  • Start & end year

    2024
    2025
  • Known Financial Commitments (USD)

    $126,252.22
  • Funder

    UK Research and Innovation (UKRI)
  • Research Location

    United Kingdom
  • Lead Research Institution

    AIRBORNE ROBOTICS LIMITED
  • Research Priority Alignment

    N/A
  • Research Category

    Health Systems Research
  • Research Subcategory

    Health service delivery
  • Special Interest Tags

    Innovation
  • Study Type

    Non-Clinical
  • Clinical Trial Details

    N/A
  • Broad Policy Alignment

    Pending
  • Age Group

    Not Applicable
  • Vulnerable Population

    Not applicable
  • Occupations of Interest

    Not applicable

Abstract

Dr-UBER envisions establishing an urban multi-drone network for emergency medical and healthcare services, employing a "ride-hailing" concept to connect medical institutions, including hospitals, pharmacies, doctors/GPs, and medical laboratories. This innovative approach aims to facilitate the swift and secure delivery of emergency healthcare/medical services, such as defibrillators (AEDs) or blood, addressing availability and distribution challenges and, more importantly, increasing the survival rate of individuals experiencing out-of-hospital cardiac arrest (OHCA). In pursuit of this goal, Airborne Robotics (AIRBORNE) and Anglia Ruskin University (ARU), as the subcontractor, propose a feasibility study to develop a multi-drone network providing "fly and deliver" services in Chelmsford, Essex. Chelmsford's strategic selection is based on its proximity to London and the challenges posed by congested roadways like the A12 and M11\. Identifying drone no-fly zones in and around the area serves as both a challenge to address and a practical context for the use-case study. Beyond addressing service demands, the project will carefully assess and integrate regulations in aviation and medicine, ethical considerations, and the safe and secure operation of drones into the network architecture. The technical assessment will encompass factors influencing drone performance, including navigation systems, communication (speed, latency, data security), sensors, battery health, environmental conditions (weather), airspace access, detect and avoid (DAA) collision, and remote piloting and operation. Considering these intricate factors, a scalable, dynamic geofencing module and an Artificial Intelligence (AI)-driven "routing and scheduling" algorithm will be developed and integrated into the Dr-UBER urban multi-drone network. This integration presents an opportunity for nationwide implementation of Dr-UBER. The study will evaluate the viability of the multi-drone network for operationalising emergency healthcare/medical services, thereby contributing to the support of the NHS. The data derived from the project will guide AIRBORNE in formulating a strategy for commercialisation, including seeking a particular CAA-Operating Safety Case permission. Given the surge in online prescriptions and the heightened demand for same-day delivery, exacerbated by the COVID-19 pandemic, there is a belief that Dr-UBER can significantly enhance healthcare logistics and bolster resilience within its supply chain.