A CORBA-based integration of distributed electronic healthcare records using the Synapses approach

Grimson, Jane; Grimson, William; Berry, Damon; Stephens, G. Arbour; Felton, E.; Toussaint, Pieter J.; Weier, O

doi:10.1109/4233.735777

Cited by 68 publications

(50 citation statements)

References 7 publications

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“…Our solution is based on defining a set of formalised aggregates of data with specific semantics and associating them with the heterogeneous structures found in the autonomous information systems. This approach is similar to others found in the literature [5] [6]. The overall server comprises several servers interconnected by CORBA.…”

Section: Discussionsupporting

confidence: 55%

Integration of distributed healthcare information systems: application of CEN/TC251 ENV13606

Maldonado

Robles

Cano

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Abstract-Everyday, more and more, the healthcare sector requires the exchange of healthcare information between professionals from different disciplines and institutions. To support co-operative work among health professionals and institutions it is necessary to share healthcare information about patients in a meaningful way. But, nowadays, in most hospitals the heath data is distributed across several heterogeneous and autonomous information systems whose interconnection is difficult to achieve. Integration of such system may bring about many advantages such as consistent patient health records or interdepartmental workflows. In this paper, an overview of a computing system prototype, currently under development using CORBA and Java, is presented. It allows healthcare professionals to access patient information stored in heterogeneous autonomous information systems through a set of formal aggregates of health data based on the healthcare record architecture ENV13606 from CEN/TC251.

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Section: Discussionsupporting

confidence: 55%

Integration of distributed healthcare information systems: application of CEN/TC251 ENV13606

Maldonado

Robles

Cano

2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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“…The two-level modelling paradigm was originally proposed by the EU-funded project Synapses (Grimson 1998). Since then, it has evolved (Beale 2002) incorporating additional constraints.…”

Section: Related Workmentioning

confidence: 99%

“…Accordingly, the clinical domain is modelled using the so-called two-level modelling approach (Grimson 1998;Beale, 2002;Garde 2007). The first level, referred to as the Reference Model, contains a very reduced set of building blocks or classes of an object model, which have a very abstract meaning (i.e.…”

Section: Introductionmentioning

confidence: 99%

ARCHETYPE ALIGNMENT - A Two-level Driven Semantic Matching Approach to Interoperability in the Clinical Domain

Bisbal

Berry²

2009

Proceedings of the International Conference on Health Informatics

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Abstract:Semantic interoperability between electronic health record systems and other information systems in the health domain implies agreement about the structure and the meaning of the information that is communicated. There are still a number of similar but different EHR system approaches. Some of the newer approaches adopt the two-layer model approach where a generic reference model is constrained by archetypes into valid clinical concepts which can be exchanged. The meaning of the concepts that are represented by an archetype can be conveyed by embedding codes from a commonly recognised terminology at appropriate points in the archetype. However, as the number of archetypes multiply it will become necessary to match archetypes from different sources to facilitate interoperability. This paper describes an approach that supports semantic interoperability between heterogeneous two-level health information systems by identifying similarities between archetypes. The approach identifies relationships between ontological terms which have been embedded in pairs of archetypes as a means of matching these terms. The matched terms can then in turn be used to identify similarities between archetypes. The limited contextual scope of an archetype simplifies this matching process.

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“…Many standards (such as openEHR [31], ISO13606 [32][33][34], and HL7 [35]) are making guidelines for standardized EHRs. The dual model approach [36], has been introduced in the Synapses project [37] and adopted by the openEHR standard. The openEHR project has developed clinical model-driven architecture for future-proof interoperable EHRs systems [38] and can be harmonized with other standards [39].…”

mentioning

confidence: 99%

Entity Attribute Value Style Modeling Approach for Archetype Based Data

2017

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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.

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A CORBA-based integration of distributed electronic healthcare records using the Synapses approach

Cited by 68 publications

References 7 publications

Integration of distributed healthcare information systems: application of CEN/TC251 ENV13606

Integration of distributed healthcare information systems: application of CEN/TC251 ENV13606

ARCHETYPE ALIGNMENT - A Two-level Driven Semantic Matching Approach to Interoperability in the Clinical Domain

Entity Attribute Value Style Modeling Approach for Archetype Based Data

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