Healthcare and Life Sciences
Foxconn Brings Physical AI to Smart Hospitals
Foxconn
Objective
Foxconn exemplifies how advanced robotics and AI can meaningfully reduce nurse workload, improve staff well-being, and accelerate the transition to smart hospitals.
Customer
Foxconn
Use Case
Robotics
Products
NVIDIA Holoscan
NVIDIA Omniverse Enterprise
NVIDIA DGX
NVIDIA Isaac
Key Takeaways
Impact
- Nurses saved 2–3 hours a day on transport-related tasks.
- Deployment time was cut by 40% using simulation-driven validation.
- Navigation tasks were performed with 98% accuracy.
Product
- NVIDIA® Jetson AGX Orin™ for edge AI computation
- NVIDIA Holoscan for real-time sensor data processing
- NVIDIA Isaac Sim™ and Omniverse™ for high-fidelity simulation, digital twin creation, and virtual training
- NVIDIA Cosmos™ for task scheduling and predictive route optimization
- NVIDIA DGX™ for model training in audio classification, action recognition, etc.
Challenge
Taiwanese Hospitals Turn to Innovation to Ease the Burden
Healthcare systems worldwide face a severe shortage of nurses, projected to reach 4.5 million by 2030. This is driven by high burnout rates and the burden of repetitive, physically demanding tasks like delivering medication, transporting specimens, and administrative duties. Hospitals in Taiwan, despite advanced healthcare infrastructure, aren’t immune to these pressures, with clinicians seeking solutions that can offload routine work and allow them to focus on higher-impact patient care.
Solution
How Isaac for Healthcare Powers Foxconn’s Smart Hospital Solutions
To fill this need, Foxconn used the NVIDIA Isaac™ for Healthcare framework to build Nurabot, a collaborative nursing robot that can relieve nurses of tedious, repetitive tasks. Isaac for Healthcare’s unified ecosystem, healthcare focus, and high performance enable rapid, safe integration of robotics into hospital workflows.
Simulation and Training: Nurabot is virtually trained in digital twin hospital environments using Isaac Sim and Omniverse. This allows for safe, efficient development and testing of AI models and robotic workflows before real-world deployment.
Deployment: Once trained, Nurabot operates autonomously within hospital wards, navigating hallways, delivering medication and specimens, and interacting with staff and patients. Its AI enables natural language communication, multimodal perception, and real-time environmental modeling.
Integration: Nurabot is being field-tested at Taichung Veterans General Hospital (TCVGH), which was included in Newsweek’s list of world’s best smart hospitals in 2025.
Result
Nurabot Cuts Nurse Workload by 30%, Boosts Staff Satisfaction and Patient Experience
The implementation of Foxconn’s Nurabot, powered by NVIDIA Isaac for Healthcare, resulted in a 30% reduction in nurse workload, significant time and fatigue savings, and high satisfaction among hospital staff and administrators. Unexpected benefits included improved patient experiences and the establishment of a scalable workplace relief. By automating repetitive and physically taxing tasks, Nurabot directly addresses nurse burnout and staff shortages.
Operational Efficiency: Digital twins enable hospitals to simulate workflows, optimize layouts, and validate new technologies before construction or deployment, improving overall efficiency and patient and staff experiences.
Scalability: Foxconn’s smart hospital solutions, powered by Isaac for Healthcare, are being rolled out to other leading medical centers in Taiwan, including Cardinal Tien Hospital and Baishatun Tung-Mazu Hospital.
Looking Ahead
Foxconn plans to expand Nurabot’s capabilities to support multilingual communication and patient mobility, further enhancing the role of robotics in healthcare. The company is also contributing AI models, such as CoroSegmentater for cardiac imaging, to the global open-source medical community, reinforcing their commitment to advancing smart healthcare worldwide.
“For nurses, having a robot assistant reduces physical fatigue, saving them multiple trips to supply rooms and allowing them to focus more on patients.”
Shu-Fang Liu,
Deputy Director, Taichung Veterans General Hospital
Learn more about Isaac for Healthcare.