labeling

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Published By: Zebra Technologies     Published Date: Jun 15, 2017
Labeling blood and other samples at the time they are collected improves patient safety and helps prevent a host of problems related to misidentification — including many of the estimated 160,900 adverse events that occur in U.S. hospitals annually because of sample identification errors. There is a strong and growing body of evidence within medical literature that creating specimen identification labels on demand at the patient bedside with a mobile printer can significantly reduce errors. The Joint Commission’s National Patient Safety Goals (NPSG) advocate the use of two patient-specific identifiers, such as name and birthdate, whenever taking blood or other samples from a patient, and to label the sample collection container in the presence of the patient.
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specimen, labeling, benefit, hospitals
    
Zebra Technologies
Published By: Zebra Technologies     Published Date: Sep 12, 2018
Labeling blood and other samples at the time they are collected improves patient safety and helps prevent a host of problems related to misidentification — including many of the estimated 160,900 adverse events that occur in U.S. hospitals annually because of sample identification errors.1 There is a strong and growing body of evidence within medical literature that creating specimen identification labels on demand at the patient bedside with a mobile printer can significantly reduce errors. The Joint Commission’s National Patient Safety Goals (NPSG) for 2010 advocate the use of two patient-specific identifiers, such as name and birthdate, whenever taking blood or other samples from a patient, and to label the sample collection container in the presence of the patient. Producing specimen labels at the patient bedside and encoding patient identification in a barcode satisfies both The Joint Commission’s NPSG and Health Insurance Portability and Accountability Act (HIPAA) requirements. T
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Zebra Technologies
Published By: Zebra Technologies     Published Date: Sep 12, 2018
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Sample identification and results reporting errors can lead to misdiagnosis and inappropriate treatment with deadly consequences. A 2006 Wall Street Journal article reported that while malpractice claims for pathology errors are relatively low, they are the second most costly. In addition to creating a serious risk to patient safety, sample misidentification creates significant financial implications. Redraws, retesting and additional treatment that result from sample errors cost the healthcare industry an estimated $200 million to $400 million per year.
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Zebra Technologies
Published By: Smartling     Published Date: Jul 17, 2014
Using Smartling’s robust translation management system and turnkey Global Delivery Network, NiceLabel, a leading developer of barcode and RFID labeling software, has seen a 45% increase in website leads and more than doubled its translation return on investment. In this case study, you’ll learn how NiceLabel used Smartling’s cloud-based solution to simplify, streamline, and accelerate all of its translation projects.
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smartling, website translation, translate website, website internationalization, internationlize website, translate efficiently, efficient translation, global marketing
    
Smartling
Published By: Zebra     Published Date: Jul 10, 2014
Detecting and preventing errors that threaten patient safety is a closed-loop process that begins at the point of care, extends to independent laboratories, and then back to the caregiver. Download to learn more!
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zebra, patient safety, closed loop process, malpractice, misdiagnosis, error costs, financial implications, caregiver, misidentification, information technology, practice management
    
Zebra
Published By: AI Business     Published Date: Mar 11, 2019
LOOK TO RELEVANT USE CASES FOR YOUR BUSINESS. While use cases vary across industries, the most common ones fall into these categories and are usually associated with the listed neural network: • Image classification or object detection: convolutional neural network (CNN) • Time-series predictions: long short-term memory (LSTM) • Natural language processing: recurrent neural network (RNN) • Unlabeled data classification and data labeling: autoencoder (AE) • Anomaly detection: autoencoder (AE) • Recommender systems: multilayer perceptron (MLP) Work with your deep learning talent or consultants to identify which use cases best match your organization and desired solutions. Then recreate a successful, already proven method.
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AI Business
Published By: Melbourne IT     Published Date: Feb 02, 2011
Read this article to find out how reselling white-labeled e-business products can be a successful revenue stream for your business.
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melbourne it, white labeling, whitelabel, resell, ebusiness, reselling, rebranding, branding, loyalty, revenue growth
    
Melbourne IT
Published By: Microsoft Dynamics     Published Date: Jul 11, 2007
This white paper addresses business and technical decision-makers for ambitious companies in which product distribution and transportation play key roles in daily operations and profitability. It describes how the comprehensive, integrated management solution represented by Supply Chain Execution for Microsoft Dynamics AX can help build an integrated logistics solution.
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scm, supply chain, radio frequency, rfid, inventory, transportation management, asset management, warehouse, distribution, labeling, microsoft, microsoft dynamics, productivity, manufacturing, operations
    
Microsoft Dynamics
Published By: Cisco     Published Date: Dec 21, 2016
Identifying a shortcoming and labeling it a “failure” might be a bit of hyperbole, but it still leaves enterprises wondering if there is a place for private cloud in their strategy. This paper will attempt to answer this question, and will focus on the role of OpenStack in particular as a private cloud solution.
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Cisco
Published By: Cisco     Published Date: Jan 05, 2016
Not long ago Gartner released an oft-quoted statistic: 95% of private clouds fail. According to Tom Bittman, VP Distinguished Analyst at Gartner, of 140 customers polled, 95% reported “something was wrong” with their private cloud. Identifying a shortcoming and labeling it a “failure” might be a bit of hyperbole, but it still leaves enterprises wondering if there is a place for private cloud in their strategy. This paper will attempt to answer this question, and will focus on the role of OpenStack in particular as a private cloud solution.
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Cisco
Published By: Cisco     Published Date: Apr 15, 2016
Not long ago Gartner released an oft-quoted statistic: 95% of private clouds fail. According to Tom Bittman, VP Distinguished Analyst at Gartner, of 140 customers polled, 95% reported “something was wrong” with their private cloud. Identifying a shortcoming and labeling it a “failure” might be a bit of hyperbole, but it still leaves enterprises wondering if there is a place for private cloud in their strategy. This paper will attempt to answer this question, and will focus on the role of OpenStack in particular as a private cloud solution.
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cloud management, cloud services, cloud management, best practices, cloud computing
    
Cisco
Published By: PTC     Published Date: Aug 21, 2009
In February 2004, the FDA issued a Draft Guidance requiring the electronic submission of labeling content to be provided in an XML-based format called Structured Product Labeling (SPL). The purpose of this white paper is for the reader to gain an understanding and prepare for the FDA's new electronic labeling submission standard.
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best practices, enterprise software, product lifecycle management, plm, product information, product information management, pim, catalog, catalogging, ptc
    
PTC
Published By: PEAK Technologies, Inc.     Published Date: Aug 20, 2007
Wherever there is a label on a product, there is a potential need for printer applicators. Download this whitepaper now for a thorough analysis of the complete labeling requirement, from part production to end user application, which must to be completed to determine the correct printer applicator.
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barcode, barcodes, bar code, bar codes, upc, upc symbol, inventory, scan, rfid, scanning, packaging, product packaging, peak, peak technologies
    
PEAK Technologies, Inc.
Published By: Radley Corporation     Published Date: Aug 30, 2010
Phase II of barcode data collection implementation brings shipping process improvement and reduces worker stress.
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white paper, barcode data collection, ifs applications, shipping processes, radley corporation, automated data collection, erp integration, barcode labeling
    
Radley Corporation
Published By: Domino     Published Date: Apr 06, 2018
Domino provides a broad portfolio of innovative industrial coding and marking solutions developed in collaboration with customers in food and beverage, life sciences, manufacturing and other industries. Beyond delivering the latest printing technologies and Industry 4.0 connectivity, Domino brings four decades of knowledge and expertise to help companies maximize productivity and OEE with agility to meet the changing needs of today’s fast-paced world. Domino is more than a mark. Domino printing technologies include thermal transfer overprinting, thermal ink jet, continuous ink jet, print-and-apply labeling, large character inkjet and laser.
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domino, food, beverage, manufacturing, customers
    
Domino
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