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Eurotuin Chooses Sato’s GL4e Printers For Shop Automation

Posted December 3, 2012

Eurotuin, a company comprising of several garden centers in Belgium is a member of Garden Retail Services, the largest full service organisation for garden centers in the Benelux region, with nearly 300 garden centers in the Netherlands and Belgium. Eurotuin recently changed its labeling system and chose NedFox’s RetailVista software to update its shop automation.

Nedfox, a leading retail software vendor specializing in providing cost-effective, scalable software, has chosen to apply SATO’s GL4e printer to its RetailVista ERP software as it has the flexibility and scalability to meet the needs and growth of garden center businesses. NedFox’s software is able to process large amounts of data using barcodes which include information such as prices, available stock in-store, customer database or products’ descriptions. NedFox’s RetailVista ERP is compatible with SATO’s GL4e series printers which are particularly suited to the retail environment thanks to its versatility and online barcode verification and are RFID Ready, therefore fitting perfectly into the Garden Retail Services shop automation.

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Mobile Medical Sample Labeling

Posted April 3, 2012

Industry Need

Medical testing provides key information to physicians, serving as a foundational tool for diagnosing patient conditions. Accuracy is critically important; mistakes can lead to undiagnosed illnesses or inappropriate treatments. Current specimen vial labeling methods, however, are error-prone. Handwritten labels are subject to interpretation and manual data errors; labels preprinted at a central station and carried to the patient location introduce the chance for mix-ups. Mobile sample labeling eliminates these opportunities for errors, enhancing patient safety. Printing on Intermec media ensures robust traceability, meeting the application requirements of sample labeling from the point of collection through challenging laboratory conditions.

Automatic identification technologies such as bar coding excel at eliminating human error. Within the high-touch medical environment these systems have steadily improved patient safety. Errors resulting from manual data entry are unacceptable in a diagnostic environment where they can lead to lost samples (increasing time to diagnose and treat) or mistaken patient identities (potentially leading to incorrect diagnosis and course of treatment).

Recognizing the persistence of these errors, the Joint Commission on Accreditation of Healthcare Organizations (JCAHO) has made improving the accuracy of patient identification the first goal of the 2010 National Patient Safety Goals document. This goal requires blood and specimen containers to be labeled in the patient’s presence. Printing sample labels in place and on-demand with ID scanned from the patient’s wristband eliminates multiple points of error, enhancing patient safety.

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