Congratulations! Regards,Mate
On 28 January 2016 at 11:22, Nadim Anani <[email protected]> wrote: > Dear Diego, > > Congratulations and Thank you!!!! Very impressive work (that is visible > without reading every detail, which I have not had the time for yet)!!!! > > Sincerely, > Nadim > > -----Original Message----- > From: openEHR-technical [mailto: > [email protected]] On Behalf Of Diego Boscá > Sent: den 27 januari 2016 21:41 > To: For openEHR clinical discussions; For openEHR technical discussions; > For openEHR implementation discussions > Subject: PhD Thesis online: Detailed clinical models and their relation > with Electronic Health Records > > 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. > > https://www.dropbox.com/s/rqmmh9b541u7wpr/TesisDiego_v2.pdf?dl=0 > > The slides are also available just in case anyone wants a quick summary > > > http://www.slideshare.net/yampeku/detailed-clinical-models-and-their-relation-with-electronic-health-records > > 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. > > _______________________________________________ > openEHR-technical mailing list > [email protected] > > http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org > _______________________________________________ > openEHR-technical mailing list > [email protected] > > http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org >
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