Dealing with the Archetypes Development Process for a Regional EHR System

Santos, Marcelo Rodrigues dos; Bax, Marcello Peixoto

doi:10.4338/aci-2011-12-ra-0074

Cited by 13 publications

(8 citation statements)

References 14 publications

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“…The interface of the publicly available Archetype Editor supports the development process visually. However, the archetype development process was slowed down due to difficult selection decisions between alternative modelling approaches, also reported in [3]. All four archetypes were uploaded to the CKM, where they are publicly accessible.…”

Section: Discussionmentioning

confidence: 99%

“…The archetype header also includes a list of the references that were used to gather the content of the archetype, also demanded in [1]. After identifying the relevant content, organisation in mind maps is useful for further discussion including medical experts [3]. …”

Section: Methodsmentioning

confidence: 99%

“…There is a desideratum that high-quality clinical information models should be key parts of electronic health records (EHRs) [1], as they form reusable semantic artefacts [2,3]. Several standards have been created to represent and exchange electronic health data [4-6].…”

Section: Introductionmentioning

confidence: 99%

“…Even though a reasoning method for validation based on the Web Ontology Language (OWL) was proposed [14], which can help to detect inconsistencies, it is not possible to compute their quality automatically. Although archetype-based EHRs exchange formalised clinical data, “there is a risk that mistaken interpretations may lower the accuracy of the communicated record and negatively impact on the quality of medical care” [3]. Also, the quality of the interfaces derived from those models like archetypes may have a direct impact on the quality of data in the future clinical use [22,23].…”

Section: Introductionmentioning

confidence: 99%

“…Not many publications focus on the development of archetypes [3]. In [25] the immaturity of the openEHR approach and the available modelling tools is criticised.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Validating archetypes for the Multiple Sclerosis Functional Composite

Braun

Brandt

Schulz

et al. 2014

BMC Med Inform Decis Mak

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BackgroundNumerous information models for electronic health records, such as openEHR archetypes are available. The quality of such clinical models is important to guarantee standardised semantics and to facilitate their interoperability. However, validation aspects are not regarded sufficiently yet. The objective of this report is to investigate the feasibility of archetype development and its community-based validation process, presuming that this review process is a practical way to ensure high-quality information models amending the formal reference model definitions.MethodsA standard archetype development approach was applied on a case set of three clinical tests for multiple sclerosis assessment: After an analysis of the tests, the obtained data elements were organised and structured. The appropriate archetype class was selected and the data elements were implemented in an iterative refinement process. Clinical and information modelling experts validated the models in a structured review process.ResultsFour new archetypes were developed and publicly deployed in the openEHR Clinical Knowledge Manager, an online platform provided by the openEHR Foundation. Afterwards, these four archetypes were validated by domain experts in a team review. The review was a formalised process, organised in the Clinical Knowledge Manager. Both, development and review process turned out to be time-consuming tasks, mostly due to difficult selection processes between alternative modelling approaches. The archetype review was a straightforward team process with the goal to validate archetypes pragmatically.ConclusionsThe quality of medical information models is crucial to guarantee standardised semantic representation in order to improve interoperability. The validation process is a practical way to better harmonise models that diverge due to necessary flexibility left open by the underlying formal reference model definitions.This case study provides evidence that both community- and tool-enabled review processes, structured in the Clinical Knowledge Manager, ensure archetype quality. It offers a pragmatic but feasible way to reduce variation in the representation of clinical information models towards a more unified and interoperable model.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Not many publications focus on the development of archetypes [3]. In [25] the immaturity of the openEHR approach and the available modelling tools is criticised.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Validating archetypes for the Multiple Sclerosis Functional Composite

Braun

Brandt

Schulz

et al. 2014

BMC Med Inform Decis Mak

View full text Add to dashboard Cite

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The ‘Holy Grail’ of Interoperability of Health Information Systems: Challenges and Implications

Silsand

2017

Lecture Notes in Business Information Processing

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Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy

Eguzkiza

Trigo

Martínez-Espronceda

et al. 2015

Journal of Biomedical Informatics

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Most healthcare services use information and communication technologies to reduce and redistribute the workload associated with follow-up of chronic conditions. However, the lack of normalization of the information handled in and exchanged between such services hinders the scalability and extendibility. The use of medical standards for modelling and exchanging information, especially dual-model based approaches, can enhance the features of screening services. Hence, the approach of this paper is twofold. First, this article presents a generic methodology to model patient-centered clinical processes. Second, a proof of concept of the proposed methodology was conducted within the diabetic retinopathy (DR) screening service of the Health Service of Navarre (Spain) in compliance with a specific dual-model norm (openEHR). As a result, a set of elements required for deploying a model-driven DR screening service has been established, namely: clinical concepts, archetypes, termsets, templates, guideline definition rules, and user interface definitions. This model fosters reusability, because those elements are available to be downloaded and integrated in any healthcare service, and interoperability, since from then on such services can share information seamlessly.

show abstract

Dealing with the Archetypes Development Process for a Regional EHR System

Cited by 13 publications

References 14 publications

Validating archetypes for the Multiple Sclerosis Functional Composite

Validating archetypes for the Multiple Sclerosis Functional Composite

The ‘Holy Grail’ of Interoperability of Health Information Systems: Challenges and Implications

Formalize clinical processes into electronic health information systems: Modelling a screening service for diabetic retinopathy

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