Search

The proposal for a Regulation of the European Parliament and of the Council on the European Health Data Space entails a substantial qualitative leap in terms of regulating access to health data at an EU level. It is an ambitious project, the main objectives of which are to (i) improve the primary use of data in digital format between Member States, and thus facilitate the full mobility of EU citizens, regardless of their Member State affiliation; and (ii) establish the necessary conditions to ensure secondary access to data that combines scientific research based on data economy with the highest European privacy standards. [ABSTRACT FROM AUTHOR]

Background: The objective of this research is to compare the relational and non-relational (NoSQL) database systems approaches in order to store, recover, query and persist standardized medical information in the form of ISO/EN 13606 normalized Electronic Health Record XML extracts, both in isolation and concurrently. NoSQL database systems have recently attracted much attention, but few studies in the literature address their direct comparison with relational databases when applied to build the persistence layer of a standardized medical information system.Methods: One relational and two NoSQL databases (one document-based and one native XML database) of three different sizes have been created in order to evaluate and compare the response times (algorithmic complexity) of six different complexity growing queries, which have been performed on them. Similar appropriate results available in the literature have also been considered.Results: Relational and non-relational NoSQL database systems show almost linear algorithmic complexity query execution. However, they show very different linear slopes, the former being much steeper than the two latter. Document-based NoSQL databases perform better in concurrency than in isolation, and also better than relational databases in concurrency.Conclusion: Non-relational NoSQL databases seem to be more appropriate than standard relational SQL databases when database size is extremely high (secondary use, research applications). Document-based NoSQL databases perform in general better than native XML NoSQL databases. EHR extracts visualization and edition are also document-based tasks more appropriate to NoSQL database systems. However, the appropriate database solution much depends on each particular situation and specific problem. [ABSTRACT FROM AUTHOR]

Background: Clinical information is often used for biomedical research. Data warehouses can help providing researchers with data and the opportunity to find eligible participants for clinical trials. Objectives: To define an information platform for healthcare and biomedical research based on requirements by clinicians and researchers. Methods: Interviews with clinicians, researchers, data privacy officers, IT and hospital administration combined with a questionnaire sent to 60 medical departments at our hospital were conducted. Results: Resulting requirements were grouped and a platform architecture was designed based on the requirements. Conclusion: Requirements lead to a single platform supporting both, patient care and biomedical research. [ABSTRACT FROM AUTHOR]

Secondary use or single source is still far from routine in healthcare, although lots of data are available either structured or unstructured. As data are stored in multiple systems, using them for biomedical research is difficult. Clinical data warehouses already help overcoming this issue, but currently they are only used for certain parts of biomedical research. A comprehensive research platform based on a generic architecture pattern could increase the benefits of existing data warehouses for both patient care and research by meeting two objectives: serving as a so called single point-of-truth and acting as a mediator between them strengthening interaction and close collaboration. Another effect is to reduce boundaries for the implementation of data warehouses. Taking further settings into account the architecture of a clinical data warehouse supporting patient care and biomedical research needs to be integrated with biomaterial banks and other sources. This work provides a solution conceptualizing a comprehensive architecture pattern of a Health Information Research Platform (HIReP) derived from use cases of the patient care and biomedical research domain. It serves as single IT infrastructure providing solutions for any type of use case. [ABSTRACT FROM AUTHOR]

Abstract: Held on 21st to 23rd November 2009 in Hiroshima, the SiHIS working conference aimed at finding solutions to approach to an idealistic society where (1) the individual can trust information with full understanding and responsibility, (2) the individual can allow the use of information backed by sound legitimated environment, (3) information can play its role for better healthcare and the improvement of medicine. The purpose of this paper is to propose recommendations from this working conference. [ABSTRACT FROM AUTHOR]

Copyright of Spektrum der Augenheilkunde is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)