Robotic technology is expanding across healthcare systems, with uses in surgery, rehabilitation, patient assistance and logistical automation. Robots have been used in healthcare for more than 30 years, but recent technological development has increased interest in medical robotics. Robotic-assisted surgery remains a major area, with more than four million procedures undertaken in 2026. Surgical robotics market forecasts point to growth from USD 9.3 billion to USD 16.4 billion (around €8.0 billion to €14.1 billion) between 2024 and 2030. Wider adoption still depends on whether healthcare systems can justify upfront costs, manage operational change and address patient safety and cybersecurity requirements.
Assessing Operational and Financial Value
Robotic-assisted surgery involves substantial capital expenditure. The most recent release from the largest manufacturer ranges between USD 1.8 million and USD 2.5 million (around €1.6 million and €2.2 million respectively), making procurement decisions significant for any healthcare organisation. A value assessment therefore needs to examine more than acquisition cost, particularly where robotic platforms affect operating theatre capacity, case mix and clinical performance.
Must Read: Digital Medication Lists Face Workflow Gaps
Potential measures include case throughput, complication rates, conversion rates, surgeon utilisation and contribution per case. Procedure growth may also form part of the evaluation, including new referrals or higher-acuity cases that a hospital could not previously perform. Operating theatre indicators may add further context when surgical teams gain experience, including turnover time and operative duration.
The criteria for assessing value have also changed. Reduced length of stay was previously treated as an important indicator, but it is no longer the main measure. Robotic surgery is increasingly evaluated in relation to surgical capacity and quality metrics under reimbursement models that consider broader care outcomes. Total episode-of-care cost, readmissions and surgeon productivity provide a wider basis for assessing whether a robotic platform delivers sufficient operational and financial value.
The same logic applies beyond surgery. Non-surgical robotics can support tasks such as supply tracking, medication delivery, bed turnover and patient transport. These activities rely heavily on manual processes in many hospitals, despite contributing limited direct clinical value. Robotic process automation may therefore be relevant where routine work reduces the time available for complex patient care, particularly in organisations managing workforce pressure and capacity constraints.
Reducing Routine Workload and Extending Care
Autonomous mobile robots can move medications, lab samples, linens, food, supplies and patients through hospitals. Existing examples include robots used for cleaning facilities, monitoring entrants for fever and refilling medical supplies. Bedside assistance technologies, including robotic lifting systems and automated medication dispensing, may reduce workplace injuries and streamline medication delivery. Current limitations remain, including the inability of some robots to climb stairs, which means implementation still depends on facility design, workflow planning and human oversight.
Robotics can also support hospital-at-home models by enabling remote monitoring and intervention that would otherwise require in-facility care. Mobile telepresence robots are remotely controlled devices with cameras, screens and sensors that enable remote communication and collaboration. When combined with automated diagnostic devices, they can support remote assessment, vital sign capture, imaging scans and medication adherence monitoring.
Robotic diagnostics may become part of more advanced home-based recovery programmes. Automated ultrasound probes and AI-guided imaging devices can allow specialist assessment at a distance. Such tools may reduce unnecessary hospital visits while maintaining clinical safety, provided they are implemented with appropriate oversight. Integration with smart homes, mirrors, wearables and Wi-Fi-based monitoring can also support continuous observation.
Robotics may also have a role in elder care, including companionship and assistance for older patients with limited family or community support. In rural and underserved settings, modular robotic platforms can help extend specialist care while reducing capital barriers. Smaller systems, in which robotic arms, imaging modules and control software are upgraded independently, can lower expenditure and allow hospitals to scale capabilities over time.
Embedding Safety, Security and Interoperability
Patient safety is central to any deployment of medical robotic systems. Many robotic systems depend on hospital networks and patient data, which creates exposure to data breaches and system manipulation. These systems therefore need to be evaluated as safety-critical infrastructure, particularly where any cybersecurity event could affect device behaviour or clinical safety.
Hospital leaders need transparency on software architecture, patch management and the separation of critical motion control from network vulnerabilities. Vendors also need to demonstrate encryption, secure authentication and continued safe operation during network disruption. Regular penetration testing and independent security audits can support cybersecurity standards over time.
Digital twin technology can support surgical planning by creating a virtual replica of a patient’s anatomy and surgical environment using imaging data such as CT or MRI scans. Surgeons can rehearse procedures with robotic systems in a simulated environment, test different approaches and anticipate potential complications before entering the operating theatre. In multi-hospital systems, identical models can support standardised training and procedural planning across sites.
The near-term direction appears more modular than universal. A single all-purpose robot is not expected in the short to medium term. Modular systems allow hospitals to upgrade visualisation systems, robotic arms or AI guidance software without replacing entire platforms. By 2030, open architectures that integrate with imaging systems, surgical navigation platforms and AI-driven decision tools are likely to become a priority for leaders managing earlier investments alongside new capabilities.
Robotics is moving beyond surgical platforms into logistics, home-based care, access, planning and safety-critical infrastructure. The case for adoption depends on measurable value, implementation readiness, cybersecurity controls and clinical governance. Surgical systems remain expensive, and non-surgical robotics still requires workflow adaptation and practical oversight. Modular approaches may help organisations manage cost and upgrade pathways, but robotics should be assessed against defined operational needs rather than treated as a universal solution for healthcare capacity, quality or workforce pressure.
Source: Roche
Image Credit: iStock
