A Standardized Protocol for Medical Specimen Delivery by Uncrewed Aerial Vehicles in Multi-Campus Hospitals

Summary

This protocol outlines the implementation of an uncrewed aerial vehicle (UAV) logistics network for rapid, safe, and cost-aware medical specimen transportation across multi-campus hospitals, providing a standardized framework for demand assessment, route approval, hardware validation, base-station deployment, personnel training, emergency management, and continuous monitoring.

Abstract

Efficient transportation of medical specimens across multi-campus hospital networks is frequently hindered by urban traffic congestion and traditional vehicle delays. This protocol outlines a comprehensive methodology for establishing an unmanned aerial vehicle (UAV)-based medical logistics system to achieve rapid, safe, and cost-effective specimen delivery. The procedure details the end-to-end implementation framework, beginning with quantitative demand assessment and strategic partnership modeling. Subsequent critical steps include flight route planning, regulatory airspace approval, UAV model selection, base station construction, and standardized personnel training. Furthermore, the protocol covers essential trial operations and the establishment of robust emergency response mechanisms prior to formal deployment. Application of this protocol at a tertiary hospital successfully established a three-campus UAV network. Representative results demonstrate that this method reduced average transport time by nearly two-thirds and decreased operational costs by 62%, while maintaining a 100% specimen integrity rate. By providing a multidimensional analysis of technical, operational, and managerial procedures, this standardized framework enables other healthcare institutions to seamlessly replicate and scale low-altitude smart medical logistics networks in complex urban environments.

Introduction

The safe and efficient transportation of medical specimens is critical to healthcare quality and patient safety, particularly within the multi-campus networks of modern medical institutions^1,2. The timely delivery of laboratory samples, blood products, and pathological specimens directly influences clinical decision-making, surgical outcomes, and patient prognosis. Currently, intra-hospital specimen delivery predominantly relies on ground-based vehicle transportation. However, this method is inherently susceptible to urban traffic congestion, weather constraints, and personnel availability. These variables frequently cause unpredictable delays, leading to specimen degradation, false analytical results, and potentially adverse clinical events.

Driven by continuous improvements in flight performance and autonomous navigation, uncrewed aerial vehicles (UAVs) have emerged as a viable solution for complex logistics³. Internationally, UAVs have been used to deliver blood, vaccines, emergency supplies, and clinical samples in settings that range from rural regions to inter-hospital networks^4,5,6. These projects demonstrate the time-saving potential of aerial transport, but many published reports emphasize single-route pilots, rural access, emergency supply delivery, or commercial demonstrations rather than a reproducible hospital implementation protocol.

Recent healthcare logistics studies also show that routine UAV adoption depends on route density, demand timing, payload heterogeneity, container approval, airspace authorization, and staff workflow integration^7,8. Therefore, hospitals require a practical protocol that translates clinical demand into tender specifications, route-risk assessments, packaging validation, dispatch procedures, and maintenance standards. The distinguishing feature of the present method is the integration of these elements into a staged, hospital-led workflow for dense urban multi-campus operations, where regulatory approval, ground handover, and specimen integrity controls must be managed simultaneously.

To address these spatial and temporal challenges, UAV delivery systems offer distinct technical, operational, and environmental advantages over traditional ground transportation. Technically, UAVs navigate via direct flight paths, avoiding ground-level obstacles, traffic intersections, and unpredictable road conditions. In a typical urban setting, this aerial approach can reduce a standard 40- to 60-min round trip to approximately 12–15 min. This acceleration is vital for time-sensitive procedures, such as intraoperative frozen section pathology, in which surgically removed tissue is rapidly frozen, sectioned, transported, and examined by pathology staff while the patient remains in the operating room. Economically, automated aerial transport can decrease direct transport expenses by reducing dedicated vehicle trips, driver time, fuel consumption, and vehicle depreciation; however, the magnitude of savings depends on route utilization, dispatch density, staffing model, and the balance between fixed UAV service costs and business-as-usual logistics costs⁷. Environmental benefits are also relevant because electric UAVs produce zero direct tailpipe emissions at the point of use and can reduce road travel for short urgent transfers, although noise exposure and third-party safety risk must be assessed during route and base-station planning⁹.

The practical implementation of this technology is highly dependent on regional airspace regulations and infrastructure^10,11. Recently, targeted economic strategies have simplified airspace approval procedures and established pilot zones for beyond-visual-line-of-sight (BVLOS) operations^11,12. Compared with regulatory frameworks in other regions, localized policy support facilitates rapid pilot implementations through public-private partnerships^10,11. Leveraging such regional aviation infrastructure and research capabilities in Zigong, China, this study presents a real-world implementation at a tertiary hospital¹³.

The overall goal of this method is to provide a comprehensive, standardized protocol for establishing a UAV-based medical specimen transportation network in a multi-campus hospital setting. By delineating critical procedures—including quantitative demand assessment, flight route planning, hardware selection, and emergency response formulation—this protocol aims to equip hospital administrators and logistics managers with the operational blueprint necessary to evaluate and adopt UAV integration. Ultimately, this framework offers a replicable strategy to overcome urban logistical barriers, optimize resource allocation, and enhance the efficiency of smart healthcare delivery.

Protocol

The operations and research described in this protocol were performed in compliance with the guidelines of Zigong First People's Hospital and were approved by the Institutional Ethics Committee of Zigong First People's Hospital (ethics approval no. (M)2026-032; approval date, April 22, 2026). The protocol involved transport-process evaluation and de-identified operational logistics data; no direct patient intervention was performed.

1. Demand assessment and operational feasibility

1. Form a cross-departmental implementation team comprising logistics, clinical departments, laboratory medicine, blood transfusion, pharmacy, aseptic medicine services if applicable, information technology, infection control, hospital safety/security, and UAV technical personnel.
2. Assign a project lead and record responsibilities for demand collection, packaging validation, route approval, dispatch, maintenance, emergency response, and data review.
3. Extract at least 3 months of business-as-usual logistics records from each participating department. Record origin-destination pairs, collection times, requested delivery deadlines, daily and peak-hour frequencies, cargo type, package dimensions, package gross mass, temperature requirements, and the approved packaging system used for each consignment.
4. Survey clinical staff and portering or transport staff to identify critical transportation targets, such as intraoperative frozen sections requiring delivery within 30 min and emergency blood gas analyses requiring delivery within 20 min. In the same survey, record handover locations, staff availability windows, manual workload bottlenecks, and communication methods used to request urgent transport.
5. Classify each cargo category before route design. Identify routine biological specimens, blood products, pathology materials, emergency or stat requests, and any items classified as certified dangerous goods or aseptic medicines.
6. For biological substances, confirm that the packaging follows a three-layer leak-proof system consistent with UN3373 Category B principles and that any crash-protected container requirement is addressed in the route-risk file⁸.
7. Evaluate operational feasibility using a pass, conditional-pass, or fail matrix covering four domains: clinical demand, technical feasibility, safety/regulatory feasibility, and logistics economics. Ensure that the minimum acceptance criteria include route distance within the validated UAV range, payload within the validated cargo mass, verified specimen temperature control, authority-acceptable airspace risk, reachable emergency landing areas, staff availability for handover, and a per-transport cost that is acceptable compared with business-as-usual service.
8. Translate the needs assessment into a user requirement and tender document. Include route list, service hours, cargo categories, packaging envelope, data-security requirements, beyond-visual-line-of-sight (BVLOS) approval responsibilities, insurance requirements, maintenance obligations, emergency-response obligations, and key performance indicators before selecting a UAV logistics provider.

2. Partnership and specialized team assembly

1. Sign a formal cooperation agreement with a qualified UAV logistics provider after technical and regulatory review. Require evidence of civil UAV operation authorization, BVLOS capability or applicable local approval pathway, licensed remote pilots or certified operators, maintenance records, data-security controls, emergency-response capability, and adequate third-party liability insurance.
2. Assemble a dedicated operational team with clearly defined responsibilities across hospital management, clinical users, dispatch coordinators, ground handlers, information technology staff, and UAV technical support.
3. Use a written duty roster so that each flight request has a named requester, dispatcher, packaging handler, launch-site handler, receiving-site handler, and UAV technical contact.
4. Implement a real-time dispatch system integrated into the hospital electronic medical record or logistics interface to manage transport tasks (Figure 1). In the dispatch module, the requester selects the specimen category, urgency level, origin, destination, temperature requirement, package identifier, and requested delivery time; the dispatcher confirms eligibility, assigns the route, and sends the task to the UAV provider interface.
   NOTE: The system records the order time, acceptance time, takeoff time, landing time, handler identity, container identifier, flight status, and any abnormal events.
5. Designate and train specific ground handling personnel to execute specimen collection, packaging, handover confirmation, and basic on-site UAV operations (Figure 2). Audit existing porter and ground-handler workloads before launch; define backup personnel for sick leave or shift gaps, and use hospital-approved communication channels rather than personal mobile-phone-only workflows.

3. Flight route planning and regulatory approval

1. Identify core transportation routes connecting the primary hospital facilities based on the baseline demand assessment, origin-destination frequency, urgency profile, and cargo mass. Prioritize routes that combine high clinical urgency with predictable handover points and feasible emergency diversion options.
2. Execute comprehensive geographical, environmental, and aerial surveys of each waypoint. Record building height, power lines, trees, cranes, helipads, sensitive hospital wards, schools, busy roads, wildlife or bird activity, electromagnetic interference, global positioning system (GPS) signal quality, cellular signal strength, wind corridor effects, and likely noise-exposure areas.
3. Submit detailed flight path maps, altitude profiles, risk-control measures, emergency landing zone coordinates, and ground-station locations to the local air traffic control authority to secure formal airspace approval for BVLOS operations.
4. Set the flight altitude within the authority-approved BVLOS envelope and below the jurisdictional low-altitude ceiling, which is commonly 120 m above ground level in many UAV operations but must be confirmed locally^10,11. For each route, document minimum obstacle clearance, no-fly segments, communication-loss return path, and weather limits.
5. Establish emergency landing zones at appropriate intervals along each approved route based on the approved route-risk assessment and specific operations risk assessment (SORA)-style ground-risk buffering principles^10,11.
   1. For this implementation, target flat open areas of at least 4 m × 4 m at approximately 3 km intervals, away from crowds, oxygen or fuel storage, overhead wires, high-voltage lines, and hospital entrances; confirm GPS/cellular coverage and ground access for recovery personnel, and document any deviation from the approved route file.
6. Perform stakeholder consultation before trial flights. Notify hospital security, clinical departments adjacent to landing zones, property management, local aviation authorities, and community-facing offices; record any required adjustments related to noise, privacy, pedestrian flow, or hospital safety.

4. UAV model selection and hardware configuration

1. Use a weighted model-evaluation matrix to assess the UAV against the route and cargo envelope¹⁴. Include maximum route distance, validated payload mass, turning radius, hover stability, positioning accuracy, wind and gust tolerance, precipitation limitation, battery reserve, parachute or equivalent risk-mitigation system, geofencing, fail-safe return-to-base behavior, maintenance interval, and compatibility with the validated cargo container.
2. Select the UAV model that meets the evaluated payload, environmental, and regulatory criteria, using comparative analysis to find the optimal balance for urban medical logistics¹⁵.
3. Confirm, as part of the protocol record, that the selected model incorporates redundant propulsion or an equivalent failure-mitigation design, route geofencing, real-time telemetry, and emergency location broadcasting (Figure 3).
4. Validate the cargo container before carrying clinical specimens. Use a secondary leak-proof package and a rigid or shock-absorbing outer container appropriate to the cargo category; if dangerous goods requirements apply, confirm that the approved package or crash-protected container configuration matches the route-risk file^8,15,16.
5. Verify temperature control using a calibrated data logger. Condition the container with phase-change materials, load a simulated payload at the maximum expected gross mass, and confirm that the internal temperature remains within 2–8 °C for at least the longest expected flight duration plus a 30 min safety margin^15,16.
6. Evaluate vibration and shock risk for fragile cargo, blood products, aseptic medicines, and other sensitive materials. Use local policy and available literature to decide whether additional cushioning, orientation control, or cargo-specific validation is required before expanding beyond routine specimens^17,18.

5. Base station site selection and construction

1. During site selection, verify hospital planning permission, fire-safety requirements, pedestrian separation, emergency access, and surrounding clinical activity before construction.
2. Select a flat, unobstructed area measuring at least 6,000 mm × 4,000 mm for this implementation's UAV base station, based on local platform dimensions, obstacle-clearance needs, and the approved route-risk file^10,11,13. Ensure strong GPS and mobile communication signals and access to a stable 220 V AC power supply. Avoid locations adjacent to oxygen storage, fuel storage, emergency entrances, mental health wards, dense inpatient windows, and high pedestrian-flow corridors.
3. Construct a sturdy, slip-resistant landing platform equipped with continuous real-time surveillance, automated weather sensors, visible warning markings, fire-extinguishing equipment, battery charging and storage controls, and secure access barriers (Figure 4). Locate the maintenance area so that routine inspection can be performed without bringing unauthorized hospital personnel close to the UAV.
4. Mark each emergency landing zone in the route file and verify it during site rehearsal. Record the coordinates, surface condition, obstacle-free radius, access route for recovery staff, communication coverage, and any permission required from property managers or local authorities.
5. Mitigate environmental impacts by setting operating hours, route offsets, altitude controls, and takeoff/landing procedures that reduce noise and downwash exposure. For electric UAVs, wet fuel storage is not required; instead, implement battery fire-prevention measures, charging logs, and safe disposal procedures for damaged batteries.

6. Personnel training and certification

1. Administer a comprehensive training program covering UAV operating principles, route maps, authority-approved flight limits, dispatch workflow, specimen chain of custody, privacy protection, weather hold criteria, automated fail-safe procedures, and emergency communication for all operational personnel.
2. Train ground handlers on standard specimen collection, specialized labeling, secondary leak-proof packaging, UN3373-compatible three-layer packaging principles where applicable, and biosafety level 2 (BSL-2) handling standards^15,16,19. Include aseptic medicines or dangerous goods modules only if those cargoes are approved for the route.
3. Instruct personnel on pre-flight checklists, including verification of propeller integrity, motor function, battery charge level, battery temperature, weather sensor readings, GPS/cellular signal, route authorization, cargo weight, cargo compartment seal, package identifier, and receiving-site readiness.
4. Require personnel who operate or supervise UAV tasks to meet applicable local civil UAV operator licensing or certification requirements. Require all hospital ground handlers and dispatchers to pass a written assessment, a simulated dispatch assessment, and a practical handover assessment before engaging in active duty.
5. Maintain training records, competency checklists, incident-drill records, and annual recertification files. Suspend independent duty for personnel who fail recurrent assessment or who are involved in repeated handover deviations until retraining is completed.

7. Trial operations and system calibration

1. Conduct route-specific trial operations before transporting patient-related specimens. Perform dry runs without cargo, simulated-load runs at the maximum expected package mass, and scenario-based tests involving GPS signal degradation, dispatch delays, sudden wind gusts, and receiving-site unavailability.
2. Monitor flight duration, takeoff and landing accuracy, route deviation, battery reserve at landing, command-link stability, GPS/cellular signal strength, payload-compartment temperature, cargo-locking status, vibration or shock indicators if available, and abnormal alarms during each trial.
3. Define pass criteria before the trial period. Accept a route only when trial flights meet the clinical delivery-time requirement, arrive within the defined on-time window, maintain the required 2–8 °C cargo temperature when cold-chain transport is required, land with the minimum battery reserve defined by the UAV provider, and complete handover without package damage, seal failure, or unplanned route deviation.
4. Adjust flight paths, handover points, battery safety margins, packaging method, or staff workflow based on the empirical data gathered during these preliminary tests. Repeat the trial until all predefined criteria are satisfied and corrective actions are documented.

8. Formal operation and continuous monitoring

1. Monitor UAV flight trajectories, payload status, dispatch status, communication link, weather conditions, and battery levels continuously from a centralized command center to quickly identify and resolve potential anomalies.
2. Perform maintenance at three levels.
   1. Before each flight, inspect the airframe, propellers, motors, battery lock, cargo bay, parachute or safety module, telemetry link, and weather limits.
   2. Weekly, inspect charging equipment, battery cycle counts, firmware status, container seals, landing platform condition, and surveillance coverage.
   3. Monthly or after any abnormal event, require UAV-provider technical inspection and written release before continued operation.
3. Track key performance indicators, including request-to-takeoff time, flight duration, total transport time, on-time delivery rate, route deviation, battery reserve, temperature-excursion frequency, specimen integrity rate, failed or canceled flight rate, weather-related fallback rate, packaging-error rate, cost per transport, and user satisfaction (Figure 5 and Table 1).
4. Log all abnormalities in a standardized maintenance and incident register. Record the date, route, cargo type, flight phase, abnormal signal, operator action, clinical impact, corrective action, and whether the event requires regulatory or ethics reporting.
5. Review the key performance indicator (KPI) dashboard at least monthly with clinical, logistics, and UAV-provider representatives. Use the review to modify schedules, adjust packaging, retrain personnel, update route-risk files, and determine whether additional routes can be added safely.

9. Emergency response and risk management

1. Implement a multi-tiered emergency response system that classifies events as weather hold, dispatch or handover deviation, package leakage or temperature excursion, communication loss, route deviation, forced landing, crash, personal injury, or data-security incident.
2. Configure the UAV to autonomously return to the departure base station or proceed to a predefined emergency landing zone if communication is lost, the route deviates beyond the predefined threshold, or an internal pressure drop indicates a breached container.
3. Configure the system to deploy an emergency parachute or an equivalent risk-mitigation device and to broadcast its location via the cellular network if battery levels reach critical thresholds or an unavoidable collision occurs.
4. Conduct periodic emergency drills with dispatchers, ground handlers, hospital security, clinical receiving departments, and UAV-provider staff. After each incident or drill, complete a root-cause review and update the protocol, training record, and route-risk file before resuming normal operation.

Results

Flight operations, delivery efficiency, and operational range

Representative outcomes from the initial operational phase (May 28, 2024, to July 19, 2024) demonstrate the successful establishment of a UAV transportation network connecting the main hospital with two branch campuses (Table 1). During this period, the system completed 239 flights and covered a cumulative distance of 1,678 km. The average flight duration was 12 min, and the system achieved a 100% s...

Discussion

This protocol details a comprehensive methodology for deploying a UAV-based medical specimen delivery system within a complex urban healthcare network. Compared with conventional ground transport, the method is most valuable when urgent specimens move between predictable origin-destination pairs and when traffic congestion threatens clinical turnaround time. Compared with many previously published UAV medical-logistics reports that emphasize feasibility demonstrations, single-route models, or post hoc performance evaluat...

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
Automated weather monitoring system	Hangzhou Xunyi Network Technology Co., Ltd	https://helichuangxing.com/eVTOL/4	Real-time weather sensor system
Battery storage and rapid-charging equipment	Hangzhou Xunyi Network Technology Co., Ltd	https://helichuangxing.com/eVTOL/4	UAV-compatible charging and battery storage system
Centralized command platform	Hangzhou Xunyi Network Technology Co., Ltd	https://helichuangxing.com/eVTOL/4	Real-time UAV monitoring platform
Emergency parachute and location module	Hangzhou Xunyi Network Technology Co., Ltd	https://x-droners.com/uav/productInfo/18100002	UAV-integrated emergency response system
Flight route approval documents	Local air traffic control authority	Not applicable	Approved BVLOS route file
Maintenance and abnormality log	Zigong First People's Hospital/Hangzhou Xunyi Network Technology Co., Ltd	Not applicable	Standardized maintenance and incident register
Medical specimen secondary packaging	Zigong First People's Hospital	Not applicable	BSL-2-compatible secondary leak-proof packaging
Phase-change cooling material	Medical cold-chain supplier/Hangzhou Xunyi Network Technology Co., Ltd	Not applicable	2–8 °C passive cooling material
RA3 logistics UAV	X-Droners/Hangzhou Xunyi Network Technology Co., Ltd	https://x-droners.com/uav/productInfo/18100002; https://helichuangxing.com/eVTOL/4	Uncrewed aerial vehicle (UAV)
Real-time dispatch system	Hospital information technology department / Hangzhou Xunyi Network Technology Co., Ltd	https://helichuangxing.com/eVTOL/4	EMR-integrated dispatch platform
Shock-absorbing temperature-controlled cargo container	Hangzhou Xunyi Network Technology Co., Ltd	https://helichuangxing.com/eVTOL/5	Passive cooling, shock-absorbing cargo container
Temperature data logger	Zigong First People's Hospital	Not applicable	Calibrated logger
UAV base-station landing platform	Zigong First People's Hospital	Not applicable	6,000 mm × 4,000 mm platform with 220 V AC power
UAV operator training and competency materials	Zigong First People's Hospital/Hangzhou Xunyi Network Technology Co., Ltd	Not applicable	Written, simulated, and practical certification materials