Drones are increasingly recognised for their potential to strengthen healthcare logistics, particularly in rural regions where long distances and challenging conditions delay diagnostics and care. In XXXXX XXXXX, 85% of patients registered with a general practice live rurally and rely on GPs as their first point of contact. Approximately 95% of clinical pathways depend on pathology services, yet sample transport can be limited with couriers typically visiting practices only once daily contributing to delays in timely diagnostics. Drone transport from GP-led community hospitals to laboratories could modernise pathology networks, reduce delays, and improve care for remote communities.(i) Model drone routes for pathology sample transport in the XXXXX XXXXXXXXXX XXXXXXXXXX XXXXXX XXXXX (XXXXX). (ii) Evaluate potential impacts on costs, transit times, and sustainability compared with current fleets.GP-led community hospitals and pathology laboratories were mapped, including sample volumes and courier schedules. Drone routes were identified, and three scenarios were modelled: (i) business-as-usual van-only collection, (ii) partial drone adoption, and (iii) complete drone adoption. Outcomes included transit times, costs, and environmental impacts.Drone adoption is expected to substantially reduce transit times, particularly under full deployment, with significant CO2 savings from replacing diesel vans. Partial adoption offers more moderate improvements with smaller cost increases. Sensitivity analyses (e.g., weather conditions) highlight trade‑offs: predicted benefits increase with rurality, but costs and potentially necessary high flight frequences may limit operational feasibility.Mapped drone routes suggest a feasible network for XXXXX. Drones offer substantial improvements to the efficiency and sustainability of pathology sample collection. Full adoption maximises time and emissions benefits but incurs higher costs. Partial deployment display more moderate gains with lower operational burden. Implementation would also provide opportunities for workforce redesign, enabling courier capacity to be redirected toward urgent or complex tasks. Engagement with communities, regulators, and clinicians will be essential to ensure acceptability, operational safety, and long-term scalability of any future drone-enabled service.These findings highlight the feasibility and potential value of drones in rural primary care logistics, building a foundation to guide future pilot studies and service planning.