Congratulations indeed!! Jan-Marc
Op do 28 jan. 2016 om 13:15 schreef Mate Beštek <mate.bes...@gmail.com>: > Congratulations! > > Regards,Mate > > On 28 January 2016 at 11:22, Nadim Anani <nadim.an...@ki.se> 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: >> openehr-technical-boun...@lists.openehr.org] 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 >> openEHR-technical@lists.openehr.org >> >> http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org >> _______________________________________________ >> openEHR-technical mailing list >> openEHR-technical@lists.openehr.org >> >> http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org >> > > _______________________________________________ > openEHR-technical mailing list > openEHR-technical@lists.openehr.org > > http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org -- Jan-Marc Verlinden MedVision (mobile) -- *MedVision BV* Aagje Dekenkade 71 2251 ZV, Voorschoten www.medvision360.com This e-mail message is intended exclusively for the addressee(s). Please inform us immediately if you are not the addressee.
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