Other IT standards

The base IEEE 11073-10101 nomenclature is extended by this standard to provide definitions of commands for external control. It is designed to be used in conjunction with IEEE 11073 standards, including ISO/IEEE 11073-10207, ISO/IEEE 11073-10201 and ISO/IEEE 11073-20601, and may be used with other standards or independently. The main areas addressed by this standard include commands to modify the characteristics and behavior of point-of-care (PoC) medical devices, such as modes of operation, contextual information, and settings

An architecture framework description for the Internet of Things (IoT) which conforms to the international standard ISO/IEC/IEEE 42010:2011 is defined. The architecture framework description is motivated by concerns commonly shared by IoT system stakeholders across multiple domains (transportation, healthcare, Smart Grid, etc.). A conceptual basis for the notion of things in the IoT is provided and the shared concerns as a collection of architecture viewpoints is elaborated to form the body of the framework description.

This document specifies

—    generic extensible data interchange formats for the representation of vascular image data: a tagged binary data format based on an extensible specification in ASN.1 and a textual data format based on an XML schema definition that are both capable of holding the same information,

—    examples of data record contents,

—    application specific requirements, recommendations, and best practices in data acquisition, and

—    conformance test assertions and conformance test procedures applicable to this document.

This document provides guidelines on identification and labelling of medicinal products from the point of manufacture of packaged medicinal product to the point of dispensing the product. This document outlines best practice for AIDC barcoding solutions for applications. Users can, however, consider the coding interoperability requirements for other AIDC technologies, e.g. Radio Frequency Identification (RFID)

This standard is a logical extension to IEEE 1872-2015 Standard for Ontologies for Robotics and Automation. The standard extends the CORA ontology by defining additional ontologies appropriate for Autonomous Robotics (AuR) relating to: 1) The core design patterns specific to AuR in common R&A sub-domains; 2) General ontological concepts and domain-specific axioms for AuR; and 3) General use cases and/or case studies for AuR.

The purpose of the standard is to extend the CORA ontology to represent more specific concepts and axioms that are commonly used in Autonomous Robotics. The extended ontology specifies the domain knowledge needed to build autonomous systems comprised of robots that can operate in all classes of unstructured environments. The standard provides a unified way of representing Autonomous Robotics system architectures across different R&A domains, including, but not limited to, aerial, ground, surface, underwater, and space robots. This allows unambiguous identification of the basic hardware and software components necessary to provide a robot, or a group of robots, with autonomy (i.e. endow robots with the ability to perform desired tasks in unstructured environments without continuous explicit human guidance).

Standardization in the field of Health Information and Communications Technology (ICT) to achieve compatibility and interoperability between independent systems and to enable modularity. This includes requirements on health information structure to support clinical and administrative procedures, technical methods to support interoperable systems as well as requirements regarding safety, security and quality.

The core elements for network independent access to emergency services provide facilities that support centralized mapping and routing functions for current and future emergency communications and operational requirements. The baseline is a network with the functional elements that comprise security measures and the routing capabilities being necessary to forward a call received at any concentration point based on the caller's location to the responsible emergency call centre. In addition, other functional elements and necessary protocols and procedures enabling interoperable and secure implementations are specified to allow multimedia communications as they evolve.

One of the biggest challenges facing the Emergency Services is determining the location of mobile callers. Cell based location has been available to the Emergency Services since 2003. While cell data can help with verbal establishment of a caller's location, a more precise location will allow an even quicker emergency response.Advanced Mobile Location (AML) allows use of native smart phone technology to pass (Assisted) GNSS or Wi-Fi based location data to Emergency Service PSAPs. These technologies can provide a location precision as good as 5 m outdoors (and averaging to within circular areas of ~25 m radius for indoor locations), a significant improvement on existing cell coverage provided by mobile networks, which average (across the UK as an example) circular areas of about 1,75 km radius. The present document builds on the Advanced Mobile Location initiative described in ETSI TR 103 393 now being used in an increasing number of countries to improve the precision and accuracy of a caller's location information for emergency calls from mobile handsets.