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Enabling flexible integration of healthcare information using the entity-attribute-value storage model
BACKGROUND: For an optimal care of patients in home healthcare, it is essential to exchange healthcare-related information with other stakeholders. Unfortunately, paper-based documentation procedures as well as the heterogeneity between information systems inhibit a well-regulated communication. The...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340778/ https://www.ncbi.nlm.nih.gov/pubmed/25825661 http://dx.doi.org/10.1186/2047-2501-1-9 |
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author | Löper, Dortje Klettke, Meike Bruder, Ilvio Heuer, Andreas |
author_facet | Löper, Dortje Klettke, Meike Bruder, Ilvio Heuer, Andreas |
author_sort | Löper, Dortje |
collection | PubMed |
description | BACKGROUND: For an optimal care of patients in home healthcare, it is essential to exchange healthcare-related information with other stakeholders. Unfortunately, paper-based documentation procedures as well as the heterogeneity between information systems inhibit a well-regulated communication. Therefore, a digital patient care record is introduced to establish the foundation for integrating healthcare-related information. METHODS: For the digital patient care record, suitable integration techniques are required that store data in a compact way and offer flexibility as well as robustness. For this purpose, a generic storage structure based on the entity-attribute-value (EAV) model is introduced. This storage structure fulfills the stated requirements and incoming information can be stored directly without any loss of data. EVALUATION RESULTS AND DISCUSSIONS: First performance tests regarding the query response time are given in this paper. The tests measured the connection time, the query execution time, and the time for traversing the result set. The time for executing the query is lowest. The time for traversing the results strongly depends on the number of documents. A concept comparison to other integration techniques is also presented. CONCLUSIONS: This approach offers flexibility concerning different standard types and the evolution in healthcare knowledge and processes. It also allows for highly sparse data to be stored in a compact way. The underlying database structure is presented, the import process for extracting incoming reports is described and the export process for generating new outgoing standardized reports is briefly illustrated. |
format | Online Article Text |
id | pubmed-4340778 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43407782015-03-30 Enabling flexible integration of healthcare information using the entity-attribute-value storage model Löper, Dortje Klettke, Meike Bruder, Ilvio Heuer, Andreas Health Inf Sci Syst Research BACKGROUND: For an optimal care of patients in home healthcare, it is essential to exchange healthcare-related information with other stakeholders. Unfortunately, paper-based documentation procedures as well as the heterogeneity between information systems inhibit a well-regulated communication. Therefore, a digital patient care record is introduced to establish the foundation for integrating healthcare-related information. METHODS: For the digital patient care record, suitable integration techniques are required that store data in a compact way and offer flexibility as well as robustness. For this purpose, a generic storage structure based on the entity-attribute-value (EAV) model is introduced. This storage structure fulfills the stated requirements and incoming information can be stored directly without any loss of data. EVALUATION RESULTS AND DISCUSSIONS: First performance tests regarding the query response time are given in this paper. The tests measured the connection time, the query execution time, and the time for traversing the result set. The time for executing the query is lowest. The time for traversing the results strongly depends on the number of documents. A concept comparison to other integration techniques is also presented. CONCLUSIONS: This approach offers flexibility concerning different standard types and the evolution in healthcare knowledge and processes. It also allows for highly sparse data to be stored in a compact way. The underlying database structure is presented, the import process for extracting incoming reports is described and the export process for generating new outgoing standardized reports is briefly illustrated. BioMed Central 2013-02-04 /pmc/articles/PMC4340778/ /pubmed/25825661 http://dx.doi.org/10.1186/2047-2501-1-9 Text en © Löper et al.; licensee BioMed Central Ltd. 2013 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Löper, Dortje Klettke, Meike Bruder, Ilvio Heuer, Andreas Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title | Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title_full | Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title_fullStr | Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title_full_unstemmed | Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title_short | Enabling flexible integration of healthcare information using the entity-attribute-value storage model |
title_sort | enabling flexible integration of healthcare information using the entity-attribute-value storage model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4340778/ https://www.ncbi.nlm.nih.gov/pubmed/25825661 http://dx.doi.org/10.1186/2047-2501-1-9 |
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