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<\/figure>\n\n\n\nI. Key Challenges in Picking Operations at Traditional Hospital Supply Warehouses<\/h2>\n\n\n\n
Hospital supplies encompass multiple categories, including high-value supplies, low-value supplies, sterile supplies, and emergency supplies. The industry is characterized by a complex array of SKUs, strict batch requirements, sensitivity to expiration dates, frequent piece-picking, scattered orders, and an extremely low margin for error. Traditional manual picking methods are poorly suited to these conditions, and the entire operational process suffers from numerous shortcomings that severely hinder the progress of warehouse digitization. Specifically, these pain points are concentrated across six key areas.<\/p>\n\n\n\n
(1) Manual picking is inefficient, resulting in a significant backlog of orders<\/h3>\n\n\n\n
Traditional picking relies on staff members using paper forms to manually check off each item against its storage location, model, and specifications. With complex warehouse layouts and over a thousand types of supplies, each picking operation requires a significant amount of time to locate and verify items. At the same time, replenishment orders from hospital clinical departments are scattered and frequent, with a concentration of morning preparation and urgent surgical orders. The manual operation model struggles to handle these order peaks, making it highly prone to order backlogs and delays in consumable replenishment, which indirectly affect clinical diagnosis and treatment as well as the progress of surgical procedures. When faced with sudden emergency orders, manual picking results in slow response times and fails to meet the demand for urgent medical supplies.<\/p>\n\n\n\n
(2) High error rate in medication dispensing, posing significant risks to patient safety<\/h3>\n\n\n\n
Medical supplies are categorized into highly detailed models, and differences in specifications, batches, and manufacturers among similar supplies are minimal. Manual visual verification is highly prone to errors such as picking the wrong items, omissions, over-picking, or under-picking. Errors in picking high-value and surgical supplies can directly lead to surgery delays and medical errors, resulting in patient safety risks and disputes between doctors and patients. At the same time, the process of returning and rectifying mispicked supplies is cumbersome; it not only increases the workload for warehouse staff but also leads to idle supplies and wasted funds, significantly raising hospital operating costs. Under the traditional manual model, the error rate for hospital supply picking generally ranges from 3% to 5%, making it one of the primary risk points in medical supply management.<\/p>\n\n\n\n
(3) High reliance on personnel; long training period for new hires<\/h3>\n\n\n\n
Traditional picking operations rely heavily on the experience of veteran employees. Staff must memorize the storage locations, specifications, and batching rules for thousands of consumable items, and it takes new hires 1\u20133 months to work independently, resulting in high training costs and a lengthy training cycle. At the same time, warehouse staff turnover is high, and personnel changes can easily lead to fluctuations in operational efficiency and an increase in picking errors. This makes it difficult to ensure the stability of warehouse operations and to achieve standardized, routine operational management.<\/p>\n\n\n\n
(4) Low level of paperless operations, making compliance traceability difficult<\/h3>\n\n\n\n
Traditional operations rely on paper documents as their primary medium; picking records, information verification, and data transfer are all recorded manually. These documents are prone to loss, damage, and tampering, resulting in severe data fragmentation. According to the National GSP Management Standards for Medical Supplies and UDI traceability requirements, hospital medical supplies must achieve end-to-end traceability, data retention, and clear accountability. The paper-based workflow cannot establish a complete data chain, resulting in low compliance inspection pass rates and posing clear regulatory risks. At the same time, manually recorded data cannot be synchronized in real time with the WMS (Warehouse Management System), leading to persistent discrepancies between recorded and actual inventory levels and data lag.<\/p>\n\n\n\n
(5) Weak control over batch expiration dates and relatively high consumption of supplies<\/h3>\n\n\n\n
Medical supplies strictly adhere to the \u201cfirst-in, first-out\u201d and \u201cexpiring-first\u201d principles. Traditional manual picking relies entirely on experience to determine batches and expiration dates, making it impossible to accurately distinguish between new and old batches of supplies. This makes it highly likely that new supplies will be dispensed first, while supplies nearing their expiration dates will accumulate and expire. A large number of low-value and general medical supplies are scrapped due to expiration after prolonged idling, while high-value supplies cannot be used in compliance with regulations due to batch confusion. This results in a waste of medical resources and financial losses, further exacerbating the operational burden on hospitals.<\/p>\n\n\n\n
(6) Lack of transparency in operational data, resulting in management decisions lacking a solid foundation<\/h3>\n\n\n\n
Traditional warehouse picking operations lack real-time data tracking, making it impossible for managers to accurately monitor key metrics such as daily order volume, picking efficiency, error rates, and the turnover rate of consumables; as a result, they must rely solely on experience to manage operations. As a result, warehouse operational issues cannot be promptly identified, employee productivity cannot be quantified for evaluation, and procurement plans for consumables cannot be accurately formulated. Overall, the warehouse operates under a rudimentary management system, making it difficult to achieve refined operational control.<\/p>\n\n\n\n
II. Core Principles of the PTL Light-Signal Sorting System and Its Adaptation Architecture for Hospitals<\/h2>\n\n\n\n
PTL Light-Guided Picking System<\/strong>This intelligent warehouse assistance system is specifically designed for scenarios involving multiple SKUs, piece-picking, and high-precision operations. Unlike traditional manual picking and barcode-scanning methods, it is built around the core logic of \u201clight guidance, digital verification, automatic logging, and intelligent error prevention\u201d as its core logic. It is perfectly suited to the operational characteristics of hospital consumables warehouses and serves as a lightweight, cost-effective core solution for the digital transformation of hospital warehousing.<\/p>\n\n\n\n The PTL Light-Guided Picking System consists of four components: smart electronic labels, light-guidance modules, data transmission modules, and a backend management terminal. Once integrated with the hospital\u2019s WMS (Warehouse Management System) and SPD (Supply Chain) systems, the system automatically retrieves departmental restocking orders and consumables outbound orders, and breaks down the order information to the electronic labels at the corresponding storage locations. Operators do not need to refer to paper documents; they simply follow the shelf indicator lights directly to the corresponding storage locations. The tag screen simultaneously displays key information about the consumables to be picked, including name, specifications, quantity, batch number, and expiration date. Once picking is complete, pressing the confirmation button finalizes the task. If non-compliant operations occur\u2014such as incorrect picking or over-picking\u2014the system automatically triggers audible and visual alerts, eliminating picking errors at the source and ensuring paperless, visual, and standardized operations throughout the entire process.<\/p>\n\n\n\n Given the characteristics of hospital consumables warehouses\u2014high compliance standards, strict batch control, and frequent piece-picking\u2014the implemented architecture is divided into three layers to comprehensively meet the needs of medical scenarios. At the hardware layer, independent PTL electronic light-up labels are deployed at each storage location on the warehouse shelves, supporting zoned management of high-value, sterile, and general medical supplies, and displaying batch, expiration date, and UDI code information. The transmission layer relies on the intranet for stable data transmission, ensuring that order information and operational data are synchronized within seconds, thereby eliminating data delays and loss. The software layer integrates deeply with the hospital\u2019s existing HIS, WMS, SPD, and UDI traceability systems to enable automatic storage of operational data, automatic inventory updates, automatic error logging, and automatic report generation, fully meeting medical compliance and regulatory requirements.<\/p>\n\n\n\n This case study focuses on a digital upgrade project for the medical supplies warehouse at a Grade A-III hospital in a prefecture-level city. The hospital\u2019s original medical supplies warehouse covered an area of 800 square meters and stored more than 1,200 SKUs of medical supplies, including high-value orthopedic supplies, interventional supplies, sterile surgical supplies, and general outpatient supplies. It serves more than 20 clinical departments across the hospital and processes an average of over 300 daily orders for the receipt and shipment of medical supplies, with order picking involving the splitting of larger orders into smaller units accounting for over 75% of the total. Prior to the upgrade, the warehouse relied on a traditional manual, paper-based picking system, which had long suffered from low efficiency, high error rates, weak compliance, and significant waste\u2014issues that severely hindered the hospital\u2019s efforts to upgrade its precision management of medical supplies. In 2025, the hospital officially introducedPTL Light-Guided Picking System<\/strong>...completed the end-to-end digital transformation of the warehouse, achieving significant results.<\/p>\n\n\n\n Preliminary research data from the renovation phase showed that the error rate for manual order picking at the hospital\u2019s medical supplies warehouse reached 4.21 TP3T, resulting in monthly losses of medical supplies and corrective costs exceeding 10,000 yuan due to picking errors and omissions; With six staff members on duty, the average daily order picking volume per person was less than 50 orders. During peak periods, 50 to 80 orders accumulated daily, leading to frequent delays in clinical consumables replenishment; the training period for new employees to work independently lasted as long as two months, and staff turnover directly impacted warehouse operational efficiency; Paper documentation is disorganized, the traceability chain for medical supplies is incomplete, and annual compliance audits have repeatedly identified deficiencies; the first-in, first-out (FIFO) principle is not strictly enforced for medical supplies, resulting in an average annual expiration-related wastage rate of 7.81 TP3T and significant tied-up inventory capital.<\/p>\n\n\n\n This upgrade adheres to the principles of \u201clow cost, rapid implementation, zero production downtime, and full compatibility.\u201d System deployment and implementation will be completed in four phases, without disrupting the hospital\u2019s normal supply of medical supplies at any stage.<\/p>\n\n\n\n Phase 1: Warehouse Inventory Count and Standardization of Storage Locations. The project team conducted a comprehensive inventory count of more than 1,200 types of medical supplies in the warehouse, organized the categories, specifications, batches, and expiration dates of the supplies, and categorized them by high-value medical supplies, sterile medical supplies, emergency supplies, and general supplies, and redesigned standardized storage locations. Each location was assigned a unique code, establishing a standardized warehouse foundation system to eliminate disorganization and the improper mixing of supplies.<\/p>\n\n\n\n Phase 2: Hardware Deployment and System Integration. Install PTL smart light-up electronic labels on all standardized storage locations, complete hardware networking and debugging, and establish data interfaces between the PTL system and the hospital\u2019s WMS, SPD, and UDI traceability systems to enable automatic order synchronization, real-time inventory updates, and automatic linking of traceability information, ensuring the system integrates seamlessly with the hospital\u2019s existing digital infrastructure.<\/p>\n\n\n\n Phase 3: Functional Customization and Parameter Tuning. In accordance with medical consumables management regulations, we customize specialized features such as batch control, expiration date alerts, mandatory first-in-first-out (FIFO) guidelines, picking error alerts, operation logging, and compliance report generation. We also set priority levels for consumables picking to prioritize surgical and emergency orders as well as urgent restocking orders from departments, thereby meeting clinical emergency needs.<\/p>\n\n\n\n Phase 4: Staff Training and Trial Operation Implementation. Provide system operation training for warehouse managers and pickers, streamline operational workflows, and ensure that all staff can quickly become proficient. Conduct a 15-day trial operation to identify system vulnerabilities and optimize operational workflows, thereby officially implementing a fully paperless, light-guided picking process.<\/p>\n\n\n\n Six months after the system was officially implemented and put into operation, the warehouse\u2019s overall operational capacity, management standards, and compliance capabilities have been comprehensively upgraded; key metrics have improved significantly; and the digital transformation has yielded remarkable results.<\/p>\n\n\n\n Operational efficiency has increased significantly, and labor costs have been substantially reduced. The light-guided picking system completely eliminates the need for manual order searching and paper-based verification, reducing the average picking time per order by more than 65%. the number of orders picked per person per day has increased to 120, and the warehouse\u2019s average daily order processing capacity has risen by 140%, completely resolving order backlog issues and significantly improving the response time for clinical consumables replenishment. At the same time, the onboarding period for new employees has been reduced to 3 days. There is no longer a need to memorize storage locations and consumable specifications, completely eliminating the reliance on experienced staff. This has significantly reduced staff training costs and comprehensively improved the stability of warehouse operations.<\/p>\n\n\n\n Picking accuracy approaches a perfect score, eliminating medical safety risks. Leveraging the PTL system\u2019s light guidance, quantity verification, and audible and visual alerts for picking errors, the error rate for medical supply picking in the warehouse has dropped from 4.21 TP3T to within 0.031 TP3T, essentially achieving zero-error picking. This completely eliminates surgical delays and clinical risks caused by incorrect supply selection, ensuring clinical safety. At the same time, the system automatically blocks the picking of consumables with mismatched batches or expired expiration dates, enforcing the \u201cfirst-in, first-out\u201d and \u201cnear-expiration-first\u201d principles. As a result, the rate of consumable wastage due to expiration has dropped from 7.81 TP3T to 0.91 TP3T, saving the hospital more than 100,000 yuan annually in consumable wastage costs.<\/p>\n\n\n\n Comprehensive improvements to compliance traceability have been made to align with industry regulatory standards. Following the renovation, the warehouse has achieved fully paperless operations throughout the entire process; all picking operations, consumables transfers, and personnel operation data are automatically recorded and permanently accessible, forming a complete traceability chain from warehouse outbound, departmental issuance, and clinical use, perfectly aligning with GSP regulations and UDI end-to-end traceability requirements. The compliance inspection pass rate has reached 100%, completely resolving issues related to disorganized paper document management and traceability gaps.<\/p>\n\n\n\n Visualization of data management and control supports precise decision-making. The system\u2019s backend automatically generates visual reports on picking efficiency, order data, consumable wastage, and inventory turnover. Managers can monitor warehouse operations in real time, accurately identify management gaps, scientifically formulate consumable procurement and inventory allocation plans, effectively reduce excess inventory, and improve inventory turnover rates. Hospital medical supply warehouse management has officially transitioned from manual, rudimentary control to data-driven, precise management.<\/p>\n\n\n\n Based on this hospital implementation case, compared to traditional manual picking and barcode-scanning picking methods,PTL Light-Guided Picking System<\/strong>It offers five key advantages for the digital transformation of hospital supply warehouses and is highly tailored to the specific management needs of the healthcare industry.<\/p>\n\n\n\n The PTL Light-Guided Picking System requires no major modifications to warehouse hardware; it can be deployed using existing shelving. With a short implementation cycle, low upfront costs, and rapid results, it meets the budgetary needs of public and private hospitals at all levels. Compared to fully automated intelligent warehousing equipment, it offers exceptional value for money and is the optimal solution for the digital upgrade of warehousing systems in small and medium-sized hospitals.<\/p>\n\n\n\n The system eliminates complex operational procedures, featuring light-guided instructions and digital visualization throughout the entire process. It requires no specialized technical skills, allowing ordinary staff to quickly become proficient. It is well-suited to the high staff turnover and frequent job rotations typical of hospital warehouses, effectively ensuring the routine and standardized operation of warehouse activities.<\/p>\n\n\n\n In response to the high-precision, zero-error operational requirements for medical supplies, the system implements multiple early-warning and interception mechanisms at the hardware level to detect and prevent mispicks, omissions, batch errors, and expired products. It enforces standardized operational procedures to comprehensively mitigate medical safety risks associated with supply picking, thereby ensuring the safety of clinical diagnosis and treatment.<\/p>\n\n\n\n The system seamlessly integrates with various hospital information systems and the national medical supplies traceability platform, ensuring that data is recorded, traceable, and verifiable throughout the entire process. It fully complies with regulatory requirements for medical supplies, addresses the challenges hospitals face in ensuring compliance with warehouse management regulations, and helps hospitals successfully pass inspections by drug regulatory and health authorities at all levels.<\/p>\n\n\n\n Leveraging big data analytics capabilities, we enable end-to-end digital and visual management of warehouse operations, ensuring that the flow of consumables, staff activities, and inventory status are all supported by data. This provides precise data support for hospital cost accounting, supply management, and operational decision-making.<\/p>\n\n\n\n This case study on the digital transformation of a hospital\u2019s medical supplies warehouse clearly demonstrates that,PTL Light-Guided Picking System<\/strong>It precisely addresses the core pain points of traditional medical warehousing\u2014low picking efficiency, high error rates, weak compliance, and high wastage\u2014and, with its lightweight design, high adaptability, and cost-effectiveness, fills the gap in the digital transformation of warehousing for small and medium-sized hospitals, serving as a key driver for the digital upgrade of the medical supplies supply chain. In today\u2019s environment of routine medical compliance and the shift toward refined hospital operations, the PTL light-guided picking system is no longer exclusive to large hospitals; rather, it has become essential equipment for the standardization and digital transformation of medical supply warehouses at hospitals of all levels.<\/p>\n\n\n\n In the future, as smart hospitals and digital supply chains continue to evolve, the PTL light-guided picking system will undergo continuous functional upgrades. It will deeply integrate features such as AI-powered forecasting, intelligent replenishment, intelligent expiration-date-based classification and control, and priority scheduling of emergency orders, further optimizing the efficiency of hospital consumables warehousing and distribution. At the same time, the system will integrate deeply with RFID-enabled smart consumables cabinets, smart storage racks, and automated inventory counting equipment to build a fully automated, intelligent, and visualized ecosystem for medical consumables warehousing management. This will comprehensively drive the transformation of hospital consumables management from \u201cmanual\u201d to \u201cdigital and intelligent,\u201d thereby supporting the high-quality, standardized, and refined development of the healthcare industry.<\/p>\n\n\n\n As the core hub for medical supply logistics, the digital transformation of hospital supply warehouses is a critical component of smart hospital development, medical compliance management, and improving the quality and efficiency of clinical services. The numerous shortcomings of traditional manual picking methods have become a bottleneck hindering the modernization of hospital warehouse management.PTL Light-Guided Picking System<\/strong>With its mature technical architecture, adaptability to healthcare settings, and tangible results from implementation, it has become the core solution for the digital transformation of hospital supply warehouses.<\/p>\n\n\n\n Based on real-world implementation cases, the PTL light-guided picking system can effectively improve warehouse operation efficiency, eliminate picking errors, reduce consumable waste, enhance compliance and traceability, and enable granular data management. It comprehensively addresses the pain points in hospital consumable warehouse management, providing solid support for hospitals to reduce costs, improve efficiency, and ensure risk control and compliance. In the future, as the digital transformation of the healthcare sector continues to deepen, PTL light-guided picking technology will become widely adopted in medical supply warehousing scenarios across hospitals of all levels. It will emerge as a standard technology for the digital upgrade of the medical supplies supply chain, continuously empowering hospitals to achieve refined, intelligent, and compliant operational development.<\/p>\n\n\n\n <\/p>","protected":false},"excerpt":{"rendered":" \u5728\u533b\u7597\u6570\u5b57\u5316\u8f6c\u578b\u4e0e\u533b\u9662SPD\u4f9b\u5e94\u94fe\u4f53\u7cfb\u5168\u9762\u843d\u5730\u7684\u5927\u80cc\u666f\u4e0b\uff0c\u533b\u9662\u8017\u6750\u4ed3\u5e93\u4f5c\u4e3a\u533b\u7597\u7269\u8d44\u6d41\u8f6c\u7684\u6838\u5fc3\u67a2\u7ebd\uff0c\u5176\u4f5c\u4e1a\u6548\u7387\u3001 […]<\/p>\n","protected":false},"author":1,"featured_media":2912,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"themepark_post_bcolor":"#f5f5f5","themepark_post_width":"1022px","themepark_post_img":"","themepark_post_img_po":"left","themepark_post_img_re":false,"themepark_post_img_cover":false,"themepark_post_img_fixed":false,"themepark_post_hide_title":false,"themepark_post_main_b":"","themepark_post_main_p":100,"themepark_paddingblock":false,"_geo_short_summary":"","_geo_structured_desc":"","_geo_faqs":"","_geo_key_points":"","_geo_target_audience":"","_geo_content_type":"","_geo_last_modified":"","_geo_version":0,"themepark_seo_title":"","themepark_seo_description":"","footnotes":""},"categories":[7],"tags":[57],"class_list":["post-2911","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-7","tag-57"],"metadata":{"_edit_lock":["1784102646:1"],"_thumbnail_id":["2912"],"_edit_last":["1"],"_seo-push":["a:2:{i:0;s:5:\"baidu\";i:1;s:4:\"bing\";}"],"catce":["sidebar-widgets4"],"themepark_seo_title":[""],"themepark_seo_description":[""],"themepark_seo_keyword":["\u4eae\u706f\u62e3\u9009\u7cfb\u7edf\uff0c\u667a\u80fd\u7269\u6599\u4ed3\u50a8\uff0c\u667a\u80fd\u7269\u6599\u7ba1\u7406\u7cfb\u7edf\uff0c\u667a\u80fd\u4ed3\u50a8\u7ba1\u7406\u7cfb\u7edf"]},"medium_url":"https:\/\/www.zebrastation.com.cn\/wp-content\/uploads\/2026\/07\/pasted-image-20260715-080300-961-300x129.jpg","thumbnail_url":"https:\/\/www.zebrastation.com.cn\/wp-content\/uploads\/2026\/07\/pasted-image-20260715-080300-961-150x150.jpg","full_url":"https:\/\/www.zebrastation.com.cn\/wp-content\/uploads\/2026\/07\/pasted-image-20260715-080300-961-scaled.jpg","_links":{"self":[{"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/posts\/2911","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/comments?post=2911"}],"version-history":[{"count":1,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/posts\/2911\/revisions"}],"predecessor-version":[{"id":2913,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/posts\/2911\/revisions\/2913"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/media\/2912"}],"wp:attachment":[{"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/media?parent=2911"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/categories?post=2911"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.zebrastation.com.cn\/en\/wp-json\/wp\/v2\/tags?post=2911"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}(1) Core Technical Principles<\/h3>\n\n\n\n
(2) Hospital-Specific Adaptation Architecture<\/h3>\n\n\n\n
III. Details of the Digital Transformation Project for a Hospital\u2019s Medical Supplies Warehouse<\/h2>\n\n\n\n
(1) Summary of Key Issues with the Warehouse Prior to Renovation<\/h3>\n\n\n\n
(2) Implementation Process for the PTL Light-Guided Picking System Upgrade<\/h3>\n\n\n\n
(3) Results of the Core Application Following the Upgrade<\/h3>\n\n\n\n
IV. Summary of the Core Advantages of the PTL Hospital Retrofit for the Light-Gated Picking System<\/h2>\n\n\n\n
(1) Weight-reduction modifications, low implementation costs<\/h3>\n\n\n\n
(2) Extremely simple to operate, designed for medical settings<\/h3>\n\n\n\n
(3) Targeted Error Prevention to Strengthen the Foundation of Medical Safety<\/h3>\n\n\n\n
(4) Comprehensive Compliance, Aligned with the Healthcare Regulatory Framework<\/h3>\n\n\n\n
(5) Data-Driven Approaches to Support Refined Operations<\/h3>\n\n\n\n
V. Insights from Industry Applications and Future Development Trends<\/h2>\n\n\n\n
VI. Conclusion<\/h2>\n\n\n\n