PhD Thesis online: Detailed clinical models and their relation with Electronic Health Records

Carlos Luis Parra Calderón carlos.parra.sspa at
Wed Jan 27 17:35:17 EST 2016

Fantástica Tesis, Diego!!!

Mi más sincera enhorabuena!!!!


> El 27 ene 2016, a las 21:40, Diego Boscá <yampeku at> escribió:
> Hello all,
> My thesis "Detailed clinical models and their relation with Electronic
> Health Records" is now available online. Until the university
> publishes it on the public repository, here is a link to it.
> The slides are also available just in case anyone wants a quick summary
> I also attach the abstract below
> Best Regards
> Diego Boscá
> Abstract
> Healthcare domain produces and consumes big quantities of people’s
> health data. Although
> data exchange is the norm rather than the exception, being able to
> access to all patient data is
> still far from achieved. Current developments such as personal health
> records will introduce
> even more data and complexity to the Electronic Health Records (EHR).
> Achieving semantic
> interoperability is one of the biggest challenges to overcome in order
> to benefit from all the
> information contained in the distributed EHR. This requires that the
> semantics of the
> information can be understood by all involved parties. It has been
> established that three layers
> are needed to achieve semantic interoperability: Reference models,
> clinical models
> (archetypes), and clinical terminologies.
> As seen in the literature, information models (reference models and
> clinical models) are
> lacking methodologies and tools to improve EHR systems and to develop
> new systems that can
> be semantically interoperable. The purpose of this thesis is to
> provide methodologies and
> tools for advancing the use of archetypes in three different scenarios:
> - Archetype definition over specifications with no dual model
> architecture native
> support. Any EHR architecture that directly or indirectly has the
> notion of detailed
> clinical models (such as HL7 CDA templates) can be potentially used as
> a reference
> model for archetype definition. This allows transforming single-model
> architectures
> (which contain only a reference model) into dual-model architectures (reference
> model with archetypes). A set of methodologies and tools has been developed to
> support the definition of archetypes from multiple reference models.
> - Data transformation. A complete methodology and tools are proposed
> to deal with the
> transformation of legacy data into XML documents compliant with the
> archetype and
> the underlying reference model. If the reference model is a standard then the
> transformation is a standardization process. The methodologies and
> tools allow both
> the transformation of legacy data and the transformation of data
> between different
> EHR standards.
> - Automatic generation of implementation guides and reference materials from
> archetypes. A methodology for the automatic generation of a set of reference
> materials is provided. These materials are useful for the development
> and use of EHR
> systems. These reference materials include data validators, example instances,
> implementation guides, human-readable formal rules, sample forms, mindmaps, etc.
> These reference materials can be combined and organized in different
> ways to adapt
> to different types of users (clinical or information technology
> staff). This way, users can
> include the detailed clinical model in their organization workflow and
> cooperate in the
> model definition.
> These methodologies and tools put clinical models as a key part of the
> system. The set of presented methodologies and tools ease the
> achievement of semantic interoperability by providing means for the
> semantic description, normalization, and validation of existing and
> new systems.
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