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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From x to vectorwise: 1306-4, often these suppositions will depend on each specific project. Query data items are constrained as indexed columns, in order to improve performance. All authors read and approved the final manuscript.

Objective This research showcases several experiments which have been carried out in order to directly compare the implementation of the persistence layer of an EHR system using three different DBMS: Three increasing 136606-4 collections of10, and 20, real standardized EHR extracts provided by several hospitals have been stored, retrieved and queried on each DBMS in order to calculate their response times computational complexity as test collection size duplicates.

Monteagudo JL, Pascual M.

Their performance is illustrated by results previously published in the literature, using similar databases and queries. Table 8 Shows most frequent query throughput and response times in concurrent execution in MongoDB.

Ercan MZ, Lane M. The relational model for database persistence [ 1317 ] is a very well 13606-44 and mature methodology, which is paradigmatic.

lso Thus we can query the medical information present in the extracts but we cannot recover them in their original state. Associated Data Supplementary Materials Additional file 1: It seems that concurrent execution favours MongoDB, since these queries execute faster concurrently than in isolation.


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

Published online Aug Comparing the performance of NoSQL approaches for managing archetype-based electronic health record data. This means that, isl instance, since two comparable normalized relational systems optimized ARM and ORM, extracts database have quite similar database sizes 2. However, issues still remain about the uniqueness of data archetype-based pathsfast parsing and comparison of paths, and the processing of complex queries. Being a semi-structured database, it stores data in the form of entire XML documents, so it may also be considered a document-based NoSQL database [ 19 ].

However, creating, maintaining and communicating EHR documents in those systems is not at all straightforward. Acknowledgements The authors would like to thank Dr.

The contrast between the fast time costs to store and retrieve documents in the NoSQL databases and the low response times in the relational database, and the comparable memory space costs of the NoSQL systems and the relational database is evident. 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.

It also refers to general security requirements that apply to EHR communications and points at technical solutions and standards that specify details on services meeting these 1360-4 needs. The dual model used by standardized EHR documents requires the organization of the information following a specific structure, and medical knowledge must also adopt the structure constrained by the archetypes, i.

ISO Standard – EHR Interoperability

Author information Article notes Copyright and License information Disclaimer. Building a relational MySQL database system to store and query normalized EHR extracts The relational model for database persistence [ 1317 ] is a very well established and mature methodology, which is paradigmatic. The different scalability of the DBMSs is another factor playing an important role: However one of the former presents a much steeper slope than two of the latter.


Other NoSQL document-store databases such as CouchDB, used on normalized data, perform better than corresponding relational systems on non-normalized i. However, there has been little research on evaluating the use of NoSQL databases in the healthcare domain [ 29 ], particularly with realistic standardized healthcare data.

EN Archetype Definition Language files.

ISO 13606 specifications

It consists of heterogeneous information residing in information systems from different manufacturers and vendors. The online version of this article doi: Although we endeavour to maintain an up-to-date catalogue, on occasion we may not have the latest version of a document, including where it has not yet been provided through an international feed.

Javascript object notation JSON. And also because of the special persistence policies of EHR documents see Discussion below.

All previous persistence isl have been based upon an underlying relational database system. Please review our privacy policy. However, assume that we are able to diminish table size by 10 times, using 10 different archetypes, then as soon as our database is big enough again 10 io bigger we will be back in the situation of ORM.

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