Evaluation of the unique device identification system and an approach for medical device tracking

2017 ◽  
Vol 6 (2) ◽  
pp. 234-241 ◽  
Author(s):  
Tuncay Bayrak ◽  
Funda Özdiler Çopur
JAMA ◽  
2017 ◽  
Vol 318 (19) ◽  
pp. 1936 ◽  
Author(s):  
Ben Moscovitch ◽  
Josh P. Rising

2015 ◽  
Vol 30 (3) ◽  
pp. 320-323 ◽  
Author(s):  
Krystal Lansdowne ◽  
Christopher G. Scully ◽  
Loriano Galeotti ◽  
Suzanne Schwartz ◽  
David Marcozzi ◽  
...  

AbstractIn 2010, the US Food and Drug Administration (Silver Spring, Maryland USA) created the Medical Countermeasures Initiative with the mission of development and promoting medical countermeasures that would be needed to protect the nation from identified, high‐priority chemical, biological, radiological, or nuclear (CBRN) threats and emerging infectious diseases. The aim of this review was to promote regulatory science research of medical devices and to analyze how the devices can be employed in different CBRN scenarios. Triage in CBRN scenarios presents unique challenges for first responders because the effects of CBRN agents and the clinical presentations of casualties at each triage stage can vary. The uniqueness of a CBRN event can render standard patient monitoring medical device and conventional triage algorithms ineffective. Despite the challenges, there have been recent advances in CBRN triage technology that include: novel technologies; mobile medical applications (“medical apps”) for CBRN disasters; electronic triage tags, such as eTriage; diagnostic field devices, such as the Joint Biological Agent Identification System; and decision support systems, such as the Chemical Hazards Emergency Medical Management Intelligent Syndromes Tool (CHEMM-IST). Further research and medical device validation can help to advance prehospital triage technology for CBRN events.LansdowneK, ScullyCG, GaleottiL, SchwartzS, MarcozziD, StraussDG. Recent advances in medical device triage technologies for chemical, biological, radiological, and nuclear events. Prehosp Disaster Med. 2015;30(3):1-4


Author(s):  
Yousef Abdulsalam ◽  
Dari Alhuwail ◽  
Eugene S. Schneller

The U.S. Food and Drug Administration has recently mandated that medical device manufacturers adopt Unique Device Identification (UDI) standards on their medical devices. The benefits that UDI brings to hospitals and patients is relatively obvious, including inventory transparency, product safety, product equivalency, business intelligence. However, adoption by manufacturers, who face the mandate, has been slow in part because the benefit to them is not as readily perceived. This study focuses on the incentives, barriers, and benefits that medical device manufacturers perceive in UDI adoption. This study seeks to understand which adoption pressures are driving manufacturers to act, and attempts to gauge the benefits to manufacturers from UDI adoption. Through survey methods, the evidence suggests that medical device manufacturers implement UDI largely as a response to the coercive and normative pressures they face. There continues to be a high level of uncertainty regarding the return on investment for the medical device manufacturers, particularly from the late adopters.


Author(s):  
A.S. BORODIN ◽  
R.V. KIRICHEK ◽  
D.D. SAZONOV ◽  
 M.A. ROZHKOV ◽  
 A.V. KOLESNIKOV ◽  
...  

A description of an identification system for IoT devices based on the Digital Object Architecture (DOA) is given. An analysis of alternative identifiers is given and the advantages of DOA for both identification and anti-counterfeit purposes are shown. The second part of the article presents the implementation of DOA technology on a specific example - the device identification system in the Russian transport industry. It is also developed a simulation model of a network fragment. A series of optimization experiments are performed. Представлено описание системы идентификации на базе архитектуры цифровых объектов (Digital Object Architecture - DOA), которая в настоящее время рассматривается в качестве приоритетной для идентификации устройств и приложений интернета вещей. Приведен анализ альтернативных идентификаторов и показаны преимущества DOA какдля за -дач идентификации, так и для борьбы с контрафактом. Во второй части статьи представлена реализация данной технологии на конкретном примере - системе идентификации устройств в транспортной отрасли России, а также разработана имитационная модель фрагмента сети, на базе которой анализировались различные параметры функционирования системы. Дано базовое описание разработанной имитационной модели и проведена серия оптимизационных экспериментов с целью улучшения производительности текущей системы.


2016 ◽  
Author(s):  
Burak Tiryakioglu ◽  
Gulgun Kayakutlu ◽  
Irem Duzdar

JAMA ◽  
2017 ◽  
Vol 318 (19) ◽  
pp. 1937
Author(s):  
Andrew M. Ibrahim ◽  
Justin B. Dimick

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