Report on the EHCR (Deliverable 26.2)

This deliverable is the second for Workpackage 26. The first, submitted after Month 12, summarised the areas of research that the partners had identified as being relevant to the semantic indexing of the EHR. This second one reports progress on the key threads of work identified by the partners during the project to contribute towards semantically interoperable and processable EHRs. This report provides a set of short summaries on key topics that have emerged as important, and to which the partners are able to make strong contributions. Some of these are also being extended via two new EU Framework 6 proposals that include WP26 partners: this is also a measure of the success of this Network of Excellence

Report on the EHCR (Deliverable 26.1)

The challenge of richly interpreting electronic health information, in order to populate EHR instances with suitable terms, to provide decision support in the care of individuals, to identify suitable patients for teaching or clinical trials recruitment, and to mine populations of records for public health or to discover new medical knowledge, all require that the heterogeneous clinical entry instances within EHR repositories can be systematically analysed and interpreted. Achieving this requires the combination and co-operation of many different health informatics tools and technologies, underpinned by shared representations of clinical concepts and inferencing formalisms. Much of this work is at the level of R&D, and is well represented across the Semantic Mining consortium. The challenge of WP26 is to build up a vision of the ways in which these historically independent threads of health informatics research can collaborate, and uncover the research challenges that are needed in order to deliver good demonstrations of semantically indexed and richly analysable EHRs. The partners have begun WP26 by acquiring a better knowledge of each other’s areas of endeavour, and are beginning to steer their research interests towards future areas of collaboration

Quality model for semantic IS standards

Semantic IS (Information Systems) standards are essential for achieving\ud interoperability between organizations. However a recent survey suggests that\ud not the full benefits of standards are achieved, due to the quality issues. This\ud paper presents a quality model for semantic IS standards, that should support\ud standards development organizations in assessing the quality of their\ud standards. Although intended for semantic IS standards the potential use of\ud this quality model is much broader and might be applicable to all kind of\ud standards

Electronical Health Record's Systems. Interoperability

Understanding the importance that the electronic medical health records system has, with its various structural types and grades, has led to the elaboration of a series of standards and quality control methods, meant to control its functioning. In time, the electronic health records system has evolved along with the medical data's change of structure. Romania has not yet managed to fully clarify this concept, various definitions still being encountered, such as "Patient's electronic chart", "Electronic health file". A slow change from functional interoperability (OSI level 6) to semantic interoperability (level 7) is being aimed at the moment. This current article will try to present the main electronic files models, from a functional interoperability system's possibility to be created perspective. \ud \u

Next generation assisting clinical applications by using semantic-aware electronic health records

The health care sector is no longer imaginable without electronic health records. However; since the original idea of electronic health records was focused on data storage and not on data processing, a lot of current implementations do not take full advantage of the opportunities provided by computerization. This paper introduces the Patient Summary Ontology for the representation of electronic health records and demonstrates the possibility to create next generation assisting clinical applications based on these semantic-aware electronic health records. Also, an architecture to interoperate with electronic health records formatted using other standards is presented