Automated picking solutions for the medical equipment industry.
28-01-2026 74
Automated picking solutions in the medical equipment industry are an inevitable trend for managing medical supplies in the face of stringent requirements for accuracy, speed, and safety.
To avoid even the smallest errors in the picking process that can seriously impact the supply chain and the quality of patient care, businesses have implemented Pick to Light automated picking systems, combining barcode scanning technology, display screens, indicator lights, and central management software, to increase productivity, ensure accuracy, and minimize human error.
Join Intech Group in exploring this comprehensive automation solution that optimizes the picking process in the medical equipment industry in the following article:
Introduction to Automated Picking Solutions in the Medical Equipment Industry
Automated picking solutions in the medical equipment industry improve operational efficiency, minimize the risk of errors, and optimize resources in medical warehouses, hospitals, or equipment distribution centers. This system utilizes robotic product handling, robotic loading and unloading stations, smart conveyors, barcode/QR code recognition sensors, and WMS (Warehouse Management System) software to ensure near-perfect accuracy and compliance with safety standards for every order.
With the development of AI, IoT, and collaborative robots (cobots), the trend of automation in the healthcare industry is opening up significant opportunities for medical equipment manufacturers and distributors in Vietnam.

Benefits of Automated Picking Solutions in the Medical Equipment Industry
An integrated system combining intelligent warehouse management software (WMS), pick-to-light technology, barcode sensors, and transport robots enables the entire picking, packaging, and delivery process to be automated and synchronized.
Product Classification by Processing Frequency
To ensure maximum efficiency, medical equipment is grouped according to its turnover frequency, shortening the picking path, minimizing operational conflicts, and increasing order processing speed:
- Product A (high frequency): Placed near the main conveyor belt, using flow racks on both sides, allowing multiple workers or robots to operate simultaneously.
- Product B & C (low frequency): Stored in a separate area, using medium-load racks to optimize static storage space.
Automated and Accurate Picking Process
- Order Reception: Data is entered into the system, linked to the container, and confirmed via barcode.
- Operation Instructions: The screen displays detailed product information, combined with a pick-to-light module to help workers pick goods quickly and accurately.
- Completion & Update: After each operation, the worker confirms completion, and the system automatically redirects to the next area if there are still products to be picked.
Picking in Product Areas B & C – Pick-to-Light Technology
In low-frequency product areas, the Pick-to-Light signal system helps accurately locate the goods to be picked. When the worker scans the container barcode, the light at the corresponding location illuminates, ensuring accurate and precise operation speed.
Inspection – Packaging – Transportation
After picking, the system scans the barcode to confirm the product and quantity. Goods are packaged according to medical standards and transferred to the receiving area. All data is recorded automatically, enabling transparent traceability and strict quality control.
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Increased productivity and guaranteed accuracy
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Increased order processing efficiency by 30–50%
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Ensures near-perfect accuracy (>99.9%)
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Reduced reliance on highly skilled labor
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Improved product traceability and quality management

Practical Applications of Automated Picking Solutions in the Medical Equipment Industry
The implementation of automated picking solutions in the medical equipment industry is not limited to warehouses or logistics, but is also widely applied in testing, diagnosis, treatment, and hospital management.
Automation in Testing and Diagnosis
Modern laboratories are equipped with automated systems capable of processing thousands of samples daily with very high accuracy. This system includes sample-collecting robots, conveyor belts, biological analyzers, and synchronized data storage software, shortening sample analysis time from 60 minutes to 15 minutes, reducing the risk of cross-contamination by limiting direct contact, and increasing accuracy and data retrieval in clinical research.
Applications of Robots in Surgery and Treatment
Surgical robots are a prime example of how automation improves the quality of treatment. Robots allow doctors to control microsurgical instruments via 3D screens, performing operations with high precision, reducing tissue damage, and shortening recovery time for patients.
In Vietnam, many central hospitals have invested in modern surgical robots for specialties such as neurology, cardiology, and urology, resulting in better treatment outcomes.
Smart Hospital Management Systems
Besides hardware, automation is also strongly applied in management through systems such as Hospital Information Systems (HIS) and the Internet of Medical Things (IoMT). These platforms connect patient data, medications, equipment, and personnel on a single system, helping hospitals operate more synchronously, accurately, and transparently.
As a result, doctors can access patient records at any time, pharmacies can monitor drug inventory in real time, and patients can proactively track their treatment progress.
Towards a Fully Digitalized Hospital Model
With the development of automation technology, artificial intelligence, and IoMT connectivity systems, the Vietnamese healthcare sector is moving closer to a fully digitalized hospital model. The entire process, from equipment storage and retrieval to medication dispensing and record management, is connected and automatically controlled, improving operational efficiency, reducing labor costs, and ensuring accuracy, safety, and information security.

Trends in Automated Picking Solutions in the Medical Equipment Industry
Thanks to the combination of artificial intelligence (AI), big data, and interconnected medical equipment networks (IoMT), automated picking solutions in the medical equipment industry are undergoing significant upgrades. These technologies are ushering in a new era for smart hospitals.
Applications of Artificial Intelligence (AI) and Big Data in Medical Automation
Future medical automation will not only focus on replacing manual operations, but also integrate artificial intelligence and big data analytics for smarter decision-making. AI systems can process and analyze millions of medical records, helping to:
- Predict disease risk early based on historical health data.
- Support doctors in diagnostic imaging with higher accuracy.
- Optimize hospital operations management, from managing medical equipment inventory to treatment planning.
For example, Google's DeepMind Health platform has helped detect over 50 types of eye diseases earlier, surpassing manual assessments by doctors.
Internet of Medical Things (IoMT) and the trend of digital hospitals
- IoMT – the Internet of Medical Things – is a major step forward in connecting smart medical devices into a unified data network, collecting and sending patient health data in real time. Doctors can monitor, analyze, and provide early warnings if abnormalities are detected.
- In medical equipment inventory, IoMT helps the system automatically record equipment status, monitor inventory, and optimize the requisition process. When combined with a cloud computing platform, hospitals can operate entirely based on data.

Frequently Asked Questions (FAQ)
Can automation in healthcare replace humans?
No. Automation only plays a supporting role, helping to reduce workload, increase processing speed and accuracy in the process. Humans still retain a central role in professional decision-making and patient care.
Is the investment cost for automation in the healthcare sector high?
The initial investment cost may be higher than traditional methods, but in the long run, it will significantly save on labor and materials costs and reduce operational errors. Many organizations have reported a payback period of only 2–3 years thanks to significantly improved productivity and accuracy.
Conclusion
Automated requisition solutions in the medical equipment industry help businesses and hospitals increase operational efficiency, reduce errors, and ensure accurate traceability. Intech Group proudly pioneers comprehensive automation solutions for the medical equipment industry, helping businesses optimize processes, save costs, and improve service quality, moving towards smart hospitals, factories, and modern management. Contact us today for a direct consultation.