{"id":2943,"date":"2026-07-22T16:15:31","date_gmt":"2026-07-22T08:15:31","guid":{"rendered":"https:\/\/www.zebrastation.com.cn\/?p=2943"},"modified":"2026-07-22T16:15:44","modified_gmt":"2026-07-22T08:15:44","slug":"%e4%ba%ae%e7%81%af%e6%8b%a3%e9%80%89%e7%b3%bb%e7%bb%9f%e5%9c%a8%e5%8c%bb%e9%99%a2%e8%80%97%e6%9d%90%e4%bb%93%e5%ba%93%e7%ae%a1%e7%90%86%e6%95%b0%e5%ad%97%e5%8c%96%e6%94%b9%e9%80%a0%e5%ba%94%e7%94%a8","status":"publish","type":"post","link":"https:\/\/www.zebrastation.com.cn\/en\/2943.html","title":{"rendered":"Case Study on the Application of a Light-Guided Picking System in the Digital Transformation of Hospital Supplies Warehouse Management"},"content":{"rendered":"

As the new healthcare reform continues to deepen, the precise and compliant management of medical supplies has become a key focus of hospital operations. Medical supplies are diverse in type, encompass both high- and low-value items, are frequently requested by clinical departments, are subject to strict expiration date controls, and require rigorous traceability. traditional manual document-based picking models commonly face challenges such as low picking efficiency, incorrect or missing shipments, discrepancies between book and actual inventory, difficulty in managing expiring supplies, and a lack of operational data archiving.Pick-to-Light (PTL) System<\/strong>Leveraging IoT electronic tags, audio-visual guidance, paperless operations, and the system\u2019s bidirectional integration capabilities, this solution transforms warehouse operations from a \u201cperson-to-goods\u201d model to a \u201cgoods-to-person\u201d model, serving as the core on-site execution terminal for the digital transformation of hospital consumables warehouses and the implementation of the SPD in-hospital logistics system. Drawing on a real-world case study of the digital transformation of a Grade A Tertiary Hospital\u2019s medical supplies central warehouse, this article analyzes the pain points of traditional medical supplies warehouse management and explains the technical architecture, operational workflows, and implementation plan of the light-guided picking (PTL) system. quantitatively demonstrates the results of the transformation, summarizes implementation experience in hospital settings, and provides a replicable reference plan for building digital medical supplies warehousing systems in general hospitals, specialty hospitals, and third-party pharmaceutical logistics warehouses.<\/p>\n\n\n\n

I. Pain Points in Traditional Hospital Medical Supply Warehouse Management Are Driving the Digital Transformation of Warehousing<\/h2>\n\n\n\n
\"\"<\/figure>\n\n\n\n

As the hub for clinical supply support throughout the hospital, the hospital\u2019s medical supplies warehouse is responsible for the centralized receipt, storage, sorting, and distribution of medical supplies for multiple departments, including the operating room, internal medicine, surgery, emergency, and laboratory. These supplies encompass thousands of SKUs, including high-value interventional devices, sterile dressings, syringes, sutures, laboratory reagents, and single-use medical instruments, and involve multiple critical requirements such as unit-level picking, bulk dispensing, expiration date management, and end-to-end traceability. The shortcomings of the traditional manual management model have become increasingly apparent, hindering efforts to improve the quality and efficiency of the hospital\u2019s supply chain.<\/p>\n\n\n\n

First, the picking methods are outdated, labor costs are high, and operational efficiency is relatively low.<\/p>\n\n\n\n

Most hospital supply warehouses have long relied on a system of paper picking lists combined with manual inventory searches. Warehouse staff rely on memory to locate storage locations, spending a significant amount of time navigating between shelves and verifying documents. During peak hours, when orders from multiple departments are issued simultaneously, warehouse staff face immense pressure to process orders in parallel. It takes a long time for new staff to become proficient, and they rely heavily on the experience of veteran employees. When faced with large volumes of departmental requisition orders, the picking process is time-consuming, which can easily lead to delays in the delivery of clinical supplies and disrupt normal operations in the emergency department and operating rooms.<\/p>\n\n\n\n

Second, human error is difficult to avoid, and picking errors or omissions pose medical and operational risks.<\/p>\n\n\n\n

Medical supplies have extremely high similarity in specifications and models, with multiple sizes and specifications available within the same product category. Manual picking is highly prone to errors such as selecting the wrong model or picking the wrong quantity. If such items are mistakenly shipped to clinical departments, the consequences range from minor issues\u2014such as a backlog of supplies in the department or returns and rework\u2014to serious risks, such as the accidental use of the wrong supplies during surgery, which poses potential medical safety hazards. At the same time, the return and exchange processes triggered by picking errors or omissions further increase the workload for warehouse staff.<\/p>\n\n\n\n

Third, inventory data is updated with a delay, resulting in discrepancies between book and actual inventory, which makes it difficult to manage expiration dates.<\/p>\n\n\n\n

After picking is completed, ledgers are updated manually, resulting in data lag; system inventory cannot be synchronized in real time with actual consumption. Over time, this leads to discrepancies between book inventory and physical stock, making it difficult for managers to accurately track actual inventory levels. A large number of supplies have expiration dates. The manual process of periodically checking the expiration dates of these supplies involves a massive workload, and there is no timely warning for supplies nearing their expiration dates. This makes it highly likely that supplies will expire and be scrapped, resulting in direct financial losses for the hospital.<\/p>\n\n\n\n

Fourth, there is a lack of standardized operating procedures, making it impossible to trace the work process.<\/p>\n\n\n\n

Traditional picking operations lack process documentation, making it impossible to retain data such as the names of pickers, picking times, and order details. When errors involving medical supplies or missing items occur, it is difficult to determine responsibility, and these operations fail to meet the National Health Commission\u2019s compliance requirements for the traceability of medical supplies and the oversight of in-hospital logistics processes.<\/p>\n\n\n\n

Fifth, the problem of information silos is particularly pronounced, making it difficult to integrate into the hospital\u2019s overall information system.<\/p>\n\n\n\n

Picking operation data is separate from the HRP (Hospital Resource Planning) system, the HIS (Hospital Information System), and the SPD (Supply Chain) platform. Picking and outbound data must be manually re-entered, making it impossible to automatically issue orders or automatically report consumption data. Consequently, it is not possible to establish a fully digital, closed-loop process for \u201cdepartment requisition \u2014 warehouse picking \u2014 supply distribution \u2014 clinical consumption.\u201d<\/p>\n\n\n\n

Many hospitals have implemented medical supply management software, but relying solely on software cannot change the manual workflow on the ground, and digitization remains limited to the level of ledgers. Against this backdrop,PTL Light-Guided Picking System<\/strong>As a platform for intelligent execution on the warehouse floor, it bridges the gap between software systems and physical warehouse operations, making it the mainstream solution for the digital transformation of hospital supply warehouses.<\/p>\n\n\n\n

II. PTL Technology Architecture and Operational Logic for Medical Applications of the Light-Gated Sorting System<\/h2>\n\n\n\n

Pick-to-Light (PTL) System<\/strong>Also known as the Electronic Label Light-Up Picking System, this is a paperless, intelligent warehousing solution designed for multi-SKU unit-piece picking scenarios. It consists of shelf electronic labels, zone controllers, a communication network, and PTL scheduling and management software. It can operate independently or integrate seamlessly with WMS medical supply warehouse systems, HRP, and SPD platforms, and is highly suited to the sorting operation requirements of hospital central supply warehouses and secondary supply warehouses.<\/p>\n\n\n\n

2.1 System Hardware Components<\/h3>\n\n\n\n

Each consumables storage location is equipped with an integrated electronic tag featuring an LED indicator, a digital display, a confirmation button, and a buzzer module. The tags are available in both wired and wireless deployment options; the wireless version eliminates the need for extensive wiring and is ideal for retrofitting older hospital warehouses. The system includes regional controllers and switches, supporting multiple communication methods such as Wi-Fi, 2.4 GHz wireless, and RS485, and is adaptable to a variety of warehouse environments, including those that are humid, clean, or temperature-controlled.<\/p>\n\n\n\n

Different light colors can be used to distinguish between task types: green indicates normal picking, yellow indicates priority picking for items nearing their expiration date, and red indicates abnormal stockouts, thereby meeting the first-in, first-out (FIFO) management requirements for medical supplies.<\/p>\n\n\n\n

2.2 Core Operational Workflow<\/h3>\n\n\n\n
    \n
  1. Order Dispatch<\/strong>: Clinical departments submit requests for medical supplies via the HIS\/SPD platform, and the orders are forwarded to the WMS medical supplies management system;<\/li>\n\n\n\n
  2. Task Breakdown<\/strong>: The system generates picking tasks, plans the picking sequence based on the optimal route, and sends instructions to the PTL controller;<\/li>\n\n\n\n
  3. Lighting Guide<\/strong>: The label for the corresponding consumables bin lights up automatically, and the screen displays the consumables' name, specifications, and quantity to be picked;<\/li>\n\n\n\n
  4. Perform Picking<\/strong>: The warehouse clerk follows the light to go directly to the storage location and retrieves the appropriate quantity of supplies;<\/li>\n\n\n\n
  5. Confirm with the flashlight<\/strong>: Once picking is complete, press the label confirmation button; the label light turns off, and the signal is transmitted back to the system in real time;<\/li>\n\n\n\n
  6. Inventory Update<\/strong>: The system automatically deducts inventory, generates a shipping record, and closes the order loop.<\/li>\n<\/ol>\n\n\n\n

    The entire process completely eliminates paper documents, implementing the \u201cpick where the light is\u201d principle, which minimizes manual judgment and effectively prevents the risk of picking errors. The system also supports both \u201cpick-by-item\u201d and \u201cbatch-sorting\u201d methods, accommodating both individual department-level order fulfillment and consolidated batch sorting of orders across multiple departments, thereby adapting to the hospital\u2019s diverse order fulfillment models.<\/p>\n\n\n\n

    2.3 The Unique Advantages of the PTL System in Supporting Hospital Supplies Management<\/h3>\n\n\n\n

    Compared to solutions such as PDA-based barcode scanning for order picking and RFID-enabled smart shelves,PTL Light-Guided Picking System<\/strong>It offers unique advantages in the context of sorting and breaking down hospital supplies: Operations are intuitive, training is quick, and fatigue levels are low during continuous operation; the system offers significant efficiency advantages in batch sorting; hardware investment is moderate, and the retrofit cycle is short; it supports flexible adjustments to shelf locations to accommodate dynamic changes in the variety of medical supplies; and it enables precise implementation of the first-in, first-out (FIFO) principle, strengthening the management of time-sensitive medical supplies.<\/p>\n\n\n\n

    III. Application Analysis of the PTL Light-Gated Picking System: A Case Study of the Digital Transformation of a Hospital Supplies Warehouse<\/h2>\n\n\n\n

    3.1 Project Background<\/h3>\n\n\n\n

    A Grade A tertiary general hospital with over 1,600 beds, 22 operating rooms, and 36 clinical departments, including internal medicine, surgery, emergency medicine, and laboratory services. The hospital\u2019s medical supplies center warehouse stocks over 1,200 types of medical supplies, including sterile dressings, disposable supplies, suture materials, laboratory supplies, and interventional supplies. It processes an average of 180 to 240 departmental supply orders per day and operates a routine daily delivery system.<\/p>\n\n\n\n

    Summary of Key Pain Points Before the Renovation:<\/p>\n\n\n\n

      \n
    1. With paper picking lists, daily picking operations took more than 6.5 hours, and delivery delays were frequent during peak periods;<\/li>\n\n\n\n
    2. On average, there are 8 to 12 instances of picking errors or omissions each month, and departments frequently return or exchange items;<\/li>\n\n\n\n
    3. The discrepancy between book and actual inventory reached as high as 13%, and manual monthly inventory counts took 2 workdays;<\/li>\n\n\n\n
    4. Consumables nearing their expiration dates are identified through manual checks, resulting in annual losses exceeding 140,000 yuan due to expired and scrapped supplies;<\/li>\n\n\n\n
    5. There are no comprehensive logs for picking operations, making it difficult to trace errors in supplies; data on consumables cannot be automatically integrated with the hospital\u2019s SPD management platform.<\/li>\n<\/ol>\n\n\n\n

      The hospital launched a project to digitize its medical supplies warehouse, deciding toPTL Light-Guided Picking System<\/strong>With this as the core, we will build a WMS-based medical supplies warehousing management platform, integrate it with the hospital\u2019s SPD supply chain system, and restructure the entire process of medical supplies receipt, issuance, sorting, and inventory counting.<\/p>\n\n\n\n

      3.2 Overall Implementation Plan<\/h3>\n\n\n\n
        \n
      1. Standardized Planning and Hardware Deployment for Warehouse Shelving<\/strong> Modify the storage racks for routine consumables in the central warehouse and deploy wireless PTL electronic labels for 860 individual storage bins; organize the layout by consumable usage frequency, with high-frequency single-use consumables concentrated along the main picking aisles; A separate storage area was designated for consumables nearing their expiration dates, distinguished by yellow lighting, to ensure strict adherence to the first-in, first-out (FIFO) principle.<\/li>\n\n\n\n
      2. Establishing a Consumables Inventory and Storage Location System<\/strong> Organize all consumable item codes and standardize the names, specifications, lot numbers, and expiration dates of consumables; establish a link between \u201cconsumable codes\u201d and \u201cstorage location codes\u201d; enter safety stock levels and expiration date alert thresholds into the system; and improve the digital records for consumables.<\/li>\n\n\n\n
      3. Software System Interface Integration and Development<\/strong> We have completed the two-way integration between the PTL scheduling system and the WMS consumables management system. The WMS interfaces with the hospital\u2019s SPD supply chain platform and the HRP financial system. Orders from clinical departments are automatically sent to the PTL system, and picking and outbound data are transmitted back in real time, enabling the automatic aggregation of consumption data to support consumables cost accounting.<\/li>\n\n\n\n
      4. Reorganization and Optimization of Workflows<\/strong> Revise Standardized Processes: PTL \"light-up\" signals indicate the start of stock placement, batch-based picking for outbound shipments, and light-guided cycle counts; establish a dedicated \"light-up\" strategy for consumables with expiration dates, prioritizing the picking of batches with the earliest expiration dates. Establish a mechanism for reporting out-of-stock or damaged consumables via light signals.<\/li>\n\n\n\n
      5. Staff Training and Trial Operation<\/strong> Organize system operation training for warehouse management staff and conduct a 40-day trial run; continuously optimize the rules for consolidating wave orders, picking routes, and light-based warning strategies to resolve issues related to the transition between the old and new processes; once operations have stabilized, completely phase out paper picking slips.<\/li>\n<\/ol>\n\n\n\n

        3.3 Quantitative Measures of the Project\u2019s Stable Operation<\/h3>\n\n\n\n

        Nine months after the system officially went live, significant improvements have been achieved across all management metrics:<\/p>\n\n\n\n

          \n
        1. The average daily picking operation time was reduced from 6.5 hours to 2.8 hours, overall picking efficiency improved by 45%, and response times for supplying materials to clinical departments were significantly improved;<\/li>\n\n\n\n
        2. The error rate for consumable picking decreased from 3.21 TP3T to 0.081 TP3T; issues with incorrect or missing picks have been virtually eliminated, and the department\u2019s workload related to returns and exchanges has decreased by 871 TP3T;<\/li>\n\n\n\n
        3. Support for dynamic light-up inventory counts was implemented, eliminating centralized inventory counts during downtime, and the inventory accuracy rate was improved to 99.7%;<\/li>\n\n\n\n
        4. The system automatically identifies consumables nearing their expiration dates and alerts users with a light; the value of expired consumables written off decreased by 76%, effectively reducing asset losses;<\/li>\n\n\n\n
        5. A complete log is maintained for all picking operations, including the order, picker, time, and consumable lot number, to meet regulatory traceability requirements for medical supplies;<\/li>\n\n\n\n
        6. Enable automatic order dispatch and automatic transmission of outbound shipment data, eliminate manual re-entry, and establish a seamless data link for the hospital\u2019s SPD digital supply chain;<\/li>\n\n\n\n
        7. The training period for new warehouse clerks has been reduced from 30 days to 5 days, eliminating the need to rely on veteran employees\u2019 memory for storage locations and significantly lowering the barrier to entry for workforce management.<\/li>\n<\/ol>\n\n\n\n

          3.4 Key Lessons from the Case Study<\/h3>\n\n\n\n

          This renovation project has proven that,PTL Light-Guided Picking System<\/strong>It is not merely a set of hardware-based guidance devices, but rather the on-site implementation vehicle for the hospital\u2019s digital consumables management system. To fully realize its value, it is not enough to simply install electronic tags; it is essential to simultaneously standardize storage locations, reengineer processes, and integrate with upper-level systems. Only by incorporating PTL into the overall SPD (Supply Processing and Distribution) logistics plan for the hospital can a truly closed-loop digital system for medical supply warehousing be achieved. Merely deploying the hardware while continuing to rely on traditional manual processes will make it difficult to achieve the expected goals of cost reduction and efficiency improvement.<\/p>\n\n\n\n

          IV. Typical Application Scenarios for the PTL (Light-Guided Picking) System in Hospital Consumables Management<\/h2>\n\n\n\n

          Based on numerous successful implementations at medical institutions, the PTL light-guided picking system is best suited for the following scenarios:<\/p>\n\n\n\n

            \n
          1. Warehouses at tertiary hospitals and specialty hospitals\u2019 medical supply centers, handling bulk order picking and unit-level picking for various departments;<\/li>\n\n\n\n
          2. Hospital SPD Operations Center warehouse and on-site third-party pharmaceutical logistics sorting warehouse;<\/li>\n\n\n\n
          3. High-frequency, small-value requisition scenarios in the secondary supply warehouse for operating room consumables and the laboratory reagent warehouse;<\/li>\n\n\n\n
          4. A warehouse scenario involving a large number of SKUs for consumables, where most outbound shipments consist of individual items, and where the focus is on improving picking accuracy and operational efficiency.<\/li>\n<\/ol>\n\n\n\n

            At the same time, the scope of application is clearly defined: PTL is more suitable for storing standard consumables in fixed storage locations that are frequently picked in small quantities; for scenarios involving large-volume, full-pallet inbound and outbound shipments of materials such as large equipment, it can be used in conjunction with forklift guidance terminals; High-value sterile implantable medical supplies can be managed using a combination of PTL and RFID tags to enable dual traceability based on both batch and serial numbers.<\/p>\n\n\n\n

            V. The Core Value of the PTL (Light-Guided Picking) System in Driving the Digital Transformation of Hospital Supply Warehouses<\/h2>\n\n\n\n

            5.1 Implement paperless, intelligent order picking to establish an efficient hospital supply system<\/h3>\n\n\n\n

            By utilizing visual lighting guidance, the system eliminates the inefficient tasks of warehouse staff\u2014such as searching for items and repeatedly verifying documents\u2014thereby improving order processing capacity. During peak hours in the emergency room and operating rooms, it ensures the rapid sorting and distribution of medical supplies, supporting the orderly conduct of clinical diagnosis and treatment from a logistical perspective.<\/p>\n\n\n\n

            5.2 Reduce operational risks associated with consumables and meet compliance and regulatory requirements in the healthcare industry<\/h3>\n\n\n\n

            On the one hand, it significantly reduces medical safety risks caused by the misdelivery of medical supplies; on the other hand, it comprehensively records data throughout the entire picking process, ensuring full traceability of medical supplies as they enter and leave the warehouse, and making it easy to comply with the National Health Commission\u2019s special inspections of medical supplies. Combined with expiration date warning lights, it enforces the first-in, first-out (FIFO) principle, thereby reducing losses from expired medical supplies that must be scrapped.<\/p>\n\n\n\n

            5.3 Eliminate information silos within the hospital and improve the closed-loop digital supply chain for SPD<\/h3>\n\n\n\n

            As a field execution terminal, PTL receives order instructions from the upper-level SPD and WMS systems and transmits actual outbound consumption data back to them, enabling data interoperability across departmental requisitioning, warehouse sorting, supply distribution, and clinical consumption. This provides a solid foundation of real-time data for consumables demand forecasting, procurement planning, and detailed cost accounting.<\/p>\n\n\n\n

            5.4 Lower the Labor Threshold for Warehouse Management and Optimize the Labor Allocation Structure<\/h3>\n\n\n\n

            The system reduces reliance on employees' experience, enabling new hires to become operational quickly; existing warehouse staff are freed from repetitive picking and inventory counting tasks and can shift their focus to high-value work such as quality inspection of consumables, expiration date management, and process optimization, thereby achieving an optimal allocation of human resources.<\/p>\n\n\n\n

            5.5 Adaptable to phased renovations of hospital warehouses; the solution offers strong scalability<\/h3>\n\n\n\n

            Wireless PTL electronic tags eliminate the need for extensive wiring, allowing older warehouses to be retrofitted in phases without the need to suspend operations during construction. As the warehouse expands, storage locations are adjusted, or the range of consumables changes, the system can flexibly add tag locations to accommodate the hospital\u2019s long-term development needs.<\/p>\n\n\n\n

            VI. Common Misconceptions and Optimization Recommendations for Implementing the PTL Light-Guided Picking System in Hospitals<\/h2>\n\n\n\n
              \n
            1. Misconception: Purchasing only hardware tags without modifying workflows or integrating with upper-level systems<\/strong> Optimization Plan: During the early stages of the project, simultaneously review the procedures for receiving and issuing consumables and develop standardized SOPs; during the selection phase, confirm that vendors provide standard API interfaces, and coordinate in advance with the hospital\u2019s IT department and SPD service providers to plan for interface integration testing.<\/li>\n\n\n\n
            2. Misconception: Deploying PTL uniformly for all consumables without planning based on ABC classification<\/strong> Optimization Plan: Classify consumables based on their usage frequency; prioritize the implementation of PTL for Category A high-frequency, small-quantity consumables; use PDA-assisted management for low-frequency, large-item consumables; and implement a differentiated approach to control overall investment costs.<\/li>\n\n\n\n
            3. Misconception: Ignoring the logic behind expiration date management and focusing solely on basic picking instructions<\/strong> Optimization Plan: The system must support setting lighting strategies by batch; consumables nearing their expiration date should be highlighted with a different color to provide priority alerts; and the first-in, first-out (FIFO) principle must be strictly enforced during the picking process.<\/li>\n\n\n\n
            4. Misconception: Using standard industrial labels without considering the cleanroom environment<\/strong> Optimization Plan: Since hospital supply warehouses are typically cleanrooms, prioritize medical-grade electronic tags that are dust-resistant, easy to clean, and feature a low-noise beep, ensuring compliance with the hospital\u2019s warehouse environment standards.<\/li>\n\n\n\n
            5. Misconception: Lack of ongoing maintenance and employee training after launch<\/strong> Optimization Plan: Establish a mechanism for regular label inspections; during the trial operation phase, assign technical personnel to provide on-site guidance and collect feedback from warehouse staff regarding their operations to continuously optimize system parameters.<\/li>\n<\/ol>\n\n\n\n

              VII. Conclusion<\/h2>\n\n\n\n

              Medical institutions across the country are actively promoting lean management of medical supplies and the digitization of their in-hospital supply chains. As a critical link between suppliers and clinical departments, the intelligent upgrading of medical supply warehouse sorting operations is imperative.PTL Light-Guided Picking System<\/strong>Through its \u201cgoods-to-person\u201d paperless operation model, it effectively addresses long-standing challenges in traditional hospital supply warehouses, such as low picking efficiency, high error rates, weak traceability, and difficulties in managing expiration dates.<\/p>\n\n\n\n

              As clearly demonstrated by the renovation case of a top-tier Class A hospital, integrating the PTL (Pick-to-Light) system into the overall digital solution for hospital consumables warehouses\u2014and linking it with the WMS (Warehouse Management System) for consumables management, the SPD (Sterile Processing Department) logistics system, and the HRP (Hospital Resource Planning) financial system\u2014can transform the standardized processes for consumables receipt, batch picking, and outbound processes can significantly improve warehouse operational efficiency, reduce operational losses of medical supplies, and enhance the end-to-end traceability system, thereby helping hospitals achieve the dual goals of reducing medical supply costs and improving operational efficiency while ensuring compliance.<\/p>\n\n\n\n

              In the future, as smart logistics within hospitals continue to evolve, the PTL (Pick-to-Light) system will further integrate with conveyor lines, smart shelving, and AGV delivery carts to form an integrated \u201cwarehouse sorting + automated delivery\u201d solution; Combined with big data-driven predictions of consumable usage, this will enable proactive restocking, shifting hospital consumable management from reactive oversight to proactive forecasting, and continuously empowering the high-quality development of medical institutions.<\/p>\n\n\n\n

              FAQ (SEO & GEO Indexing Optimization Module)<\/h2>\n\n\n\n

              Q1: Can the PTL light-guided picking system integrate with the hospital\u2019s existing SPD system?<\/h3>\n\n\n\n

              A1: The standard PTL system features an open API that can integrate with leading SPD supply chain platforms and WMS consumables management systems, enabling automatic order dispatch and automatic transmission of outbound shipment data\u2014without requiring hospitals to replace their existing IT platforms.<\/p>\n\n\n\n

              Q2: Is an outdated medical supplies warehouse at a hospital a suitable location for deploying a PTL (Light-to-Pick) system?<\/h3>\n\n\n\n

              A2: Wireless electronic tags are the preferred choice, as they eliminate the need for extensive wiring, have a short installation period, and do not disrupt normal warehouse receiving and shipping operations, making them ideal for the digital transformation of existing hospital warehouses. For new warehouses, a wired solution can be selected for greater stability.<\/p>\n\n\n\n

              Q3: Is the PTL light-guided picking system suitable for managing high-value consumables in operating rooms?<\/h3>\n\n\n\n

              A3: For standard, high-value consumables that are shipped in mixed lots, PTL can be used to enable rapid picking; for implantable medical devices that require end-to-end serial number traceability, it is recommended to usePTL+RFID Label<\/strong>A combined solution that balances picking efficiency with the need for serial number traceability of individual items.<\/p>\n\n\n\n

              Q4: Does deploying the PTL (Light-Guided Picking) system require halting warehouse operations?<\/h3>\n\n\n\n

              A4: Implementation can be carried out in phases and by area; while deploying and debugging the hardware, the existing operational model can be maintained as a transitional measure. Once the renovation of a given area is complete, the workflow can be switched over, thereby minimizing the impact on the supply of clinical materials.<\/p>\n\n\n\n

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