ISO 13606-4 PDF


ISO/TS. First edition. Health informatics — Electronic health record communication ISO’s member body in the country of the requester. ISO/TS (E). PDF disclaimer. This PDF file may contain embedded typefaces. In accordance with Adobe’s licensing policy, this file. SPECIFICATION. ISO/TS. First edition. Health informatics — Electronic health record communication —. Part 4: Security. Informatique de.

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A fourth global corollary may also be proposed, i. Modeling and querying data in NoSQL databases. However one of the former presents a much steeper slope than two of the latter. The Log4j logging tool was used to set transactions at the beginning and at the end of each query to the server and total times were computed based on the timestamps of these transactions.

It seems that concurrent execution isi MongoDB, since these queries execute faster concurrently than in isolation. NoSQL databases have attracted the attention of practical database system developers [ 20 ].

This basic approach may be improved in two different ways: Castro1 Oscar Moreno1 and Mario Pascual 1. Blog of Sarah Mei. Kaur K, Rani R.

ISO/PRF – Health informatics — Electronic health record communication — Part 4: Security

It consists of heterogeneous information residing in information systems from different manufacturers and vendors. This means that, for instance, since two comparable normalized relational systems optimized ARM and ORM, extracts database have quite similar database sizes 2. Performance tradeoffs in read-optimized databases. Consent for publication Not applicable. There are over different NoSQL databases, grouped into the following four categories: A Java multithread application was constructed, with three main threads representing three of the presented queries competing for CPU Central Processing Unit use.


Acknowledgements The authors would like to thank Dr. Standardized medical information visualization and edition is a document-based task, performed in a very small subset of the whole database.

ISO 13606 specifications

There are several pros and cons, but in many cases a trade-off solution is best. International Journal of Medical Informatics 79 A whole document may also be reconstructed, but this is a fairly slow task, at least in ORM. However, the complex structure of the information adopted by the normalized EHR documents may cause the direct application of the relational model following this structure Object Relational Mapping, ORM [ 14 ] to be complicated and inefficient.

These files have the following data citation in the Harvard Dataverse:. In the specific case of standardized medical information, our problem is not the lack of a schema. On the other hand queries Q2, Q5 and maybe Q6 relate to problems and characteristics of problems of all the patients of the whole database and are more appropriate for secondary use of information i.

However, they show very different linear slopes, the former being much steeper than the two latter.

ISO/TS 13606-4:2009

This is due to several factors affecting technical, syntactic and 113606-4 interoperability between information systems, including the inevitable rapid change and evolution of medical knowledge. National Center for Biotechnology InformationU. As stated above this NoSQL approach may provide faster access and more ixo in the case of very large databases.

All authors read and approved the final manuscript. When there exist links between documents, an update of a referenced element will require a join operation in a relational system, something that NoSQL databases are unable to do, compromising efficiency and consistency [ 25 ]. The different scalability of the DBMSs is another factor playing an important role: Regarding bit is not clear in [ 16 ] is the original structure of the extract should be recovered, since the new relational model has strongly changed and simplified it.


ISO Standard – EHR Interoperability

In fact, MongoDB queries run faster in concurrency than in isolation. However, this might be a clear example of an application in which the existence of links between different documents and their subparts does not affect the core functionality and consistency of the application see building a MongoDB database in Methods above.

This fact has important consequences regarding database size: However, one limitation of this study is the availability of direct results for queries similar to Q2 and Q5 secondary or research use; and considering Q6 as a non-pure secondary-use query, i.

As stated above new NoSQL DBMSs such as MongoDB [ 40 ] have recently attracted the attention of database system developers mainly in those document-centred persistence applications, where 13606-44 standard relational approach may not be efficient.

However, often these suppositions will io on each specific project. Find initial date, resolution date and severity of all problems of all patients. This research covers an investigation into the appropriateness of relational and NoSQL database systems under different situations and perspectives. Non-relational NoSQL approach All previous persistence solutions have been based upon an underlying relational database system. A MongoDB query might thus be considered as another form or as a first step in document visualization.

113606-4 is a simple and flexible solution, but its simplicity causes complex data retrieval logic, thereby damaging complex queries [ 15 ]. In order to directly compare different EHR extracts database persistence systems we have used examples of three of the most important database system methodologies, i. One of them is the behaviour of querying the database concurrently.