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Information 2018, 9(1), 2;

Entity Attribute Value Style Modeling Approach for Archetype Based Data

Department of Computer Science and Engineering, Jaypee Institute of Information Technology University, Noida 201304, India
Division of Information Systems, University of Aizu, Fukushima 965-8580, Japan
Author to whom correspondence should be addressed.
Received: 31 October 2017 / Revised: 14 December 2017 / Accepted: 20 December 2017 / Published: 29 December 2017
(This article belongs to the Special Issue Information Architecture)
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Entity Attribute Value (EAV) storage model is extensively used to manage healthcare data in existing systems, however it lacks search efficiency. This study examines an entity attribute value style modeling approach for standardized Electronic Health Records (EHRs) database. It sustains qualities of EAV (i.e., handling sparseness and frequent schema evolution) and provides better performance for queries in comparison to EAV. It is termed as the Two Dimensional Entity Attribute Value (2D EAV) model. Support for ad-hoc queries is provided through a user interface for better user-interaction. 2D EAV focuses on how to handle template-centric queries as well as other health query scenarios. 2D EAV is analyzed (in terms of minimum non-null density) to make a judgment about the adoption of 2D EAV over n-ary storage model of RDBMS. The primary aim of current research is to handle sparseness, frequent schema evolution, and efficient query support altogether for standardized EHRs. 2D EAV will benefit data administrators to handle standardized heterogeneous data that demands high search efficiency. It will also benefit both skilled and semi-skilled database users (such as, doctors, nurses, and patients) by providing a global semantic interoperable mechanism of data retrieval. View Full-Text
Keywords: entity attribute value model; Electronic Health Records (EHRs); standardization; archetype based EHRs entity attribute value model; Electronic Health Records (EHRs); standardization; archetype based EHRs

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Batra, S.; Sachdeva, S.; Bhalla, S. Entity Attribute Value Style Modeling Approach for Archetype Based Data. Information 2018, 9, 2.

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