Advancing Medication Delivery: Leveraging Autonomous Mobile Robots in Pharmacy Practice
Authors: Abraham Kim, PharmD, PMP, APh; Elizabeth Jochum, PharmD, BCPS; Gelson J Taube Jr, PharmD, BCPS; Sherwyn Tenia, PharmD, MBA, BCPS, PMP
SAG: Clinical Applications
Introduction
Hospital pharmacy teams are being asked to do more than ever, yet much time is still spent on tasks that don’t require clinical expertise. While automated dispensing cabinets and optimized cart fills have reduced manual distribution work, pharmacists and technicians are still involved in the delivery medications to units, responding to stat requests, and managing one‑off deliveries that pull them away from verification, compounding, and other patient‑focused activities. As pharmacy leaders continue to push for top of license practice, the question becomes how to further streamline the last mile of medication delivery without adding complexity or compromising safety. Autonomous mobile robots are emerging as a practical way to close that gap and complete the medication‑delivery continuum.
Overview of Available Solutions
Logistics robots in healthcare, commonly referred to as autonomous mobile robots (AMRs) or automated guided vehicles (AGVs), are designed to automate routine delivery tasks, allowing clinical staff to focus more on direct patient care. Several specialized robotic solutions are currently used to support inpatient medication delivery.
The Aethon TUG is an established AMR designed to securely transport medications from the pharmacy to nursing units using lockable compartments. It supports both scheduled and on demand delivery workflows and integrates with hospital infrastructure to autonomously navigate hallways, secure doors, and elevators.1 The Diligent Robotics Moxi robot focuses on collaborative task support, fetching medications and supplies across hospital departments. Moxi has been shown to return thousands of hours of time to care teams and support workflows such as Meds to Beds programs, helping reduce clinician burnout and improve discharge efficiency.2,3
Other solutions emphasize security and traceability. Relay delivery robots provide secure, contactless transport of medications with authentication and a verifiable chain of custody, supporting high risk and controlled substances.4 Emerging platforms such as the Ottonomy Ottobot leverage contextual AI to adapt to complex, crowded hospital environments and offer modular cabins configurable for medication delivery needs.5 The Robotnik RB1 provides a modular, multipurpose platform capable of medication delivery alongside equipment transport and waste removal, while systems such as the OMRON LD Series support largescale internal logistics through centralized fleet management.6,7 Together, these solutions represent a growing ecosystem of robotic options that can be tailored to the needs of pharmacy operations.
Robotic medication delivery offers significant operational and safety benefits. One of the most immediate advantages is the reduction in manual delivery tasks for pharmacists and technicians, allowing staff to remain in the pharmacy performing verification, compounding, and clinical activities.8 This shift supports top of license practice and improves productivity, an important consideration in offsetting ongoing workforce shortages.2,9 Improved accuracy and timeliness further enhance patient safety. Reduced turnaround times help decrease missed or delayed doses, while secure drawers, authenticated access, and real‑time tracking support workflows involving high‑risk medications such as chemotherapy and controlled substances.3,8,10 Many robotic systems also operate continuously, navigate elevators autonomously, and support medication delivery during off‑hour shifts.2,3
Despite these benefits, challenges remain. Cost is a primary barrier, particularly for smaller hospitals or sites with limited resources. Robotic delivery programs require investment in hardware, IT integration, and infrastructure, along with ongoing costs related to maintenance, battery management, cleaning, and software updates.8,9,10 Ethical and privacy considerations must also be addressed, as robots rely on cameras and sensors that may capture sensitive information. Organizations must ensure compliance with data protection regulations and clearly define responsibility and accountability in the event of errors or system failures through appropriate governance and human oversight.11,12 Staff adoption can present additional challenges if concerns arise around job displacement; however, successful implementations emphasize that robots are intended to complement, not replace, healthcare workers, enabling teams to focus on more meaningful, patient‑centered work.11-13
Begin with clearly defined use cases and measurable outcomes. Organizations that are successful with robotic medication delivery rarely attempt to automate every workflow at once. Instead, pharmacy leaders start with high impact use cases such as stat medication runs, Meds to Beds programs, afterhours delivery, or transport of high risk and high-cost medications. These targeted deployments have been shown to reduce turnaround times, decrease missed doses, and free pharmacy staff from manual courier tasks.2,8 Establishing clear metrics such as delivery time reductions, technician steps saved, or improved on time administration, helps demonstrate early value and sustain leadership support.
Embed security, traceability, and informatics governance into delivery workflows. Medication delivery robots are most effective when designed as extensions of the medication use system rather than treated as standalone logistics tools. Secure compartments, authentication, audit trails, and chain‑of‑custody documentation are essential, particularly for controlled substances and oncology medications.3,4 Pharmacy informaticists play a critical role in aligning robotic workflows with ADC policies, EHR order status, and medication tracking processes to ensure compliance while avoiding parallel documentation or workarounds.3,8
Position robots as complementary automation within the broader pharmacy infrastructure. Delivery robots provide the greatest benefit in last‑mile scenarios where pneumatic tubes or manual delivery are inefficient or impractical, such as oversized payloads, fragile compounded doses, or deliveries requiring direct unit handoff.9 Successful organizations integrate robots alongside centralized dispensing, decentralized storage, and existing transport systems rather than replacing them outright. This approach reduces courier burden while supporting top of license practice for pharmacists and technicians.8,9
Plan deliberately for adoption, training, and ongoing optimization. Technology alone does not guarantee success. Sustained value depends on early engagement of frontline staff, clear expectations around human oversight, defined downtime and exception workflows, and regular performance evaluation. When pharmacy teams understand that robots are intended to augment, not replace, clinical judgment and professional roles, adoption improves. Continuous refinement based on real‑world feedback allows robotic delivery programs to mature into reliable, trusted components of pharmacy operations.11-13
Conclusion
Medication delivery robots are not a replacement for well-designed distribution models, but they can be a powerful complement. When deployed for targeted use cases like stat runs, Meds to Beds, after‑hours delivery, or high‑risk medications, robotics helps eliminate low‑value transport work that fragments pharmacy workflows. The real payoff isn’t the technology itself, but it’s the time returned to pharmacists and technicians to focus on what matters most: medication safety, clinical care and efficient operations. In an environment defined by workforce strain and rising complexity, thoughtful automation of medication delivery is ultimately an investment in pharmacy’s most valuable resource, its people and the patients they serve.
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Aethon. TUG autonomous mobile robot. https://aethon.com/
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Relay Robotics. Relay delivery robots. https://www.relayrobotics.com/
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Ottonomy. Ottobot autonomous delivery robots. https://ottonomy.io/
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Robotnik. RB1 autonomous mobile robot. https://robotnik.eu/
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