The scope of this project is to define a general object-oriented information model that may be used to structure information and identify services used in point-of-care (POC) medical device communications. The scope is primarily focused on acute care medical devices and the communication of patient vital signs information.
This document specifies the common conventions required for the cart-to-host as well as cart-to-cart interchange of specific patient data (demographic, recording, ...), ECG signal data, ECG measurement and ECG interpretation results. This document specifies the content and structure of the information which is to be interchanged between digital ECG carts and computer ECG management systems, as well as other computer systems where ECG data can be stored
This document specifies the requirements for developing a knowledge base for drug-related problems that cohere with the intended drug use, to be used in rule-based clinical decision support systems (CDSS), such as the criteria for selecting a raw data source and the quality criteria for the development and maintenance for the rules or clinical rules for drug safety. It also describes the process of how to develop a knowledge base, the topics to be considered by the developers of a knowledge base, and it gives guidance on how to do this. This document gives guidelines for the development of a knowledge base: — with rules to enhance decisions and actions in drug-related problems that cohere with the intended drug use; — which can be used by all kinds of healthcare professionals, such as those who prescribe, dispense, administer or monitor medicines; — which can be used in every care setting, including chronic and acute care, primary and specialized care; — which is a repository of evidence/practice bases rules, assessed by experts; — which is meant to be used in conjunction with a medicinal product dictionary; — whose knowledge is structured in rules and therefore to be used in the type of rule-based CDSS. This document does not: — describe the exact content of a knowledge base i.e. the outcome of the process of developing rules. — provide the requirements for a clinical decision support system, the software that uses the knowledge base combined with the patient's data, and presents the outcome of the rules to the healthcare professional. These requirements are described in ISO/DTS 22703[1]. — give the requirements for non-medication knowledge bases. Some aspects of the requirements in this document are general in nature and applicable to other kinds of knowledge bases, but this document does not address all of the requirements of non-medication knowledge bases. [1] Under preparation. Stage at the time of publication: ISO/DTS 22703.
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)
There are many European SMEs trying to tackle the challenge of air quality in different ways and environments. In general, SMEs have a harder time generating trust than large companies due to fewer resources in communication, the availability of reliable protocols, metrics and institutions to establish the quality of sensor systems is paramount to aid SMEs in building trust in their products. The trust wheel starts spinning with good protocols and standards, and this is what this work aims to do in both aspects for air pollutants and olfactory nuisances.
Impact on society (6th Open Call)
This activity contributes to the several societal changes, icnluding:
Improved evidence-based policy making by ensuring sensor data reliability.
Environmental awareness as a motor for environmental behaviour change by making air quality measurements affordable to a larger community.
At a large scale, healthier living in cities by improving the common awareness of the air quality of cities and possible mitigation actions.
More sustainable industrial activity by improving the knowledge about generated pollution and odour nuisances.
Improved data availability for scientific models, early warning and forecasting by ensuring larger availability with lower cost systems, with sufficient data quality and accuracy.
The possibility to enforce effective compliance regarding odorous emissions with improved, cost-effective methods.
Impact on society (8th Open Call)
This standardisation effort on air quality has several societal key impacts, including:
Improved evidence-based policy making by ensuring sensor data reliability.
Environmental awareness as a motor for environmental behaviour change by making air quality measurements affordable to a larger community.
At a large scale, healthier living in cities by improving the common awareness of the air quality of cities and possible mitigation actions.
More sustainable industrial activity by improving the knowledge about generated pollution and odour nuisances.
Improved data availability for scientific models, early warning and forecasting by ensuring larger availability with lower cost systems, with sufficient data quality and accuracy.
The possibility to enforce effective compliance regarding odorous emissions with improved, cost-effective methods.
Impact on society (9th Open Call)
These targeted standards enable improved evidence-based policy making by ensuring sensor data reliability. Environmental awareness as a motor for environmental behaviour change by making air quality measurements affordable to a larger community. At a large scale, healthier living in cities by improving the common awareness of the air quality of cities and possible mitigation actions.
Also, these standards prone more sustainable industrial activity by improving the knowledge about generated pollution and odour nuisances. On the other hand improved data availability for scientific models, early warning and forecasting, contribute to larger availability with lower cost systems, with sufficient data quality and accuracy.
