Avery Dennison Launches AD Minidose U9XM
Avery Dennison has launched of AD Minidose U9XM UHF RFID, one of the smallest inlays available and complies with ARC Category S for pharmaceutical and healthcare applications
Approved by Auburn University’s RFID Lab for use in healthcare applications, main applications include source tagging, end-to-end traceability and product authentication for small pharmaceutical and healthcare items such as syringes, vials and an array of packaging formats.
According to AD officials, the new products’ higher memory enables converters, system integrators, healthcare providers, pharmaceutical and medical device OEMs to store additional product information such as expiry date and batch/lot on the item. This provides reliable access at any point in the supply chain without constant cloud lookups, thereby ensuring efficient and dependable tracking. The data available can help to verify product authenticity and reduce the risk of counterfeit goods infiltrating the supply chain. The provision of accessible and accurate product information supports efforts to increase patient safety and care quality.
“We continue to see a growing demand for small, subtle inlays and tags with high memory, particularly for pharmaceutical and healthcare applications, said Mathieu De Backer, vice president innovation & sustainability, Avery Dennison Smartrac. “Combining this provision with long range readability makes the AD Minidose U9XM ideally suited to environments where product authentication and traceability are essential.”
The NXP U9XM chip offers a self-adjust feature to maximize product performance, available in several different memory sizes from 96 to 496 bit EPC memory to offer flexibility in encoding, read speed, security, cost, standard certification and interoperability.
Midmark RTLS Recognized in 2024 KLAS RTLS report
Midmark RTLS has been recognized in the KLAS RTLS report: How Organizations are Broadening Their Use Cases.
The report evaluates customer experiences with RTLS vendors and presents case studies from various organizations that have successfully leveraged RTLS technology to enhance their operational outcomes. This recognition underscores Midmark RTLS’s commitment to improving care delivery through innovative technology solutions.
“It’s an honor to be recognized by KLAS, and even more so by our customers,” said Susan Martin, vice president, Midmark RTLS. “We continue to be their long-term partner, bringing both clinical and local expertise to help scale and strengthen their operations. Their trust in us and our locally based system integrators is invaluable.”
Representatives from six healthcare organizations who use Midmark CareFlow RTLS were interviewed for the research report that resulted in an overall performance score of 85.9. The Midmark RTLS scores outperformed the market average in nearly all categories, with leadership in several customer experience pillars, including “ease of use,” “quality of support,” “money’s worth” and “would you buy again.”
Specifically, a KLAS case study on Memorial Healthcare System noted they are leveraging CareFlow Asset Tracking, Staff Duress and Patient Flow solutions as well as interfaces to multiple systems to improve workflow efficiency. Memorial indicated they are experiencing positive ROI with improved patient throughput, enhanced staff safety, streamlined asset management and increased cash collections.
Navenio Launches AI-Powered Smart Tasking to Improve Hospital Efficiency
Navenio has rolled-out the its new AI Smart Tasking capability to improve hospital workflow and patient care.
The Smart Tasking feature, part of Navenio’s Intelligent Workforce Solution, enables healthcare professionals to efficiently allocate tasks to the optimal staff member and seamlessly chain tasks, such as patient movement and ward cleaning. This ensures the “just in time” movement of activity, where as soon as one task is completed, the next related task is automatically triggered, allowing for continuous workflow and maximum efficiency.
Connie Moser, chief executive officer at Navenio, noted the launch of our AI Smart Tasking function represents a significant step forward in its mission to transform hospital operations and patient care.
“By leveraging the power of AI, we are getting more nurses and healthcare teams back to the bedside and creating a streamlined process for staff and their patients,” said Moser. “We look forward to seeing how this enhancement will continue to generate benefits for care teams and technology partners across the globe.”
Navenio officials noted one hospital that has adopted the technology has already reported significant improvements, including a 62 percent decrease in task completion times, a 42 percent rise in self-service task bookings, and a 63 percent increase in task creation. The departments said to have seen the most benefits include such radiology, portering services, catering, and cleaning staff.
Castagnet Appointed AIDC100 President
Ernesto Alejandro Castagnet, an Argentine industrial engineer, was recently appointed President of AIDC100, the Hall of Fame for automatic identification and data capture (AIDC) systems .
Castagnet graduated from Universidad Nacional del Sur (UNS), Argentina and with postgraduate degrees at Ohio University (USA) and UNS, is a university professor, businessman, entrepreneur, co-founder of several chambers and institutes at the national and international level. Among the positions he previously held, Castagnet was the Technical Director of the world’s first AutoID Lab (CAIDER-Ohio University). President of the Christian Association of Business Leaders (ACDE) Bahía Blanca and VP of Fundación Acción Científica, Cultural y Educativa (ACCE Foundation).
AIDC systems include barcode technologies, RFID, magnetic/smart cards, biometrics, OCR, touch memories, direct part marking (DPM), and vision systems in its multiple applications. Castagnet commented these are the technologies that enable the Internet of Things (IoT) and its variants: such as IIoT, artificial intelligence, machine earning, blockchain, robotics, and smart devices.
“The contribution of these technologies is undoubtedly the reduction of errors in data capture – it is no longer done by a person ‘by hand’, it is done by a machine automatically guaranteeing traceability and perfecting decision making,” he said. “Let us remember that INFORMATION is “data in context” and, if the data provided is erroneous, the information we will have for decision-making will be incorrect. And from there to the loss of effectiveness and efficiency with the consequent loss of productivity, there is only one step.”