Many congratulations Diego, Like Thomas I have read through the presentation and look forward to a more detailed dive into the thesis in due course.
Ian Dr Ian McNicoll mobile +44 (0)775 209 7859 office +44 (0)1536 414994 skype: ianmcnicoll email: [email protected] twitter: @ianmcnicoll Co-Chair, openEHR Foundation [email protected] Director, freshEHR Clinical Informatics Ltd. Director, HANDIHealth CIC Hon. Senior Research Associate, CHIME, UCL On 28 January 2016 at 12:40, Jan-Marc Verlinden <[email protected]> wrote: > Congratulations indeed!! > > Jan-Marc > > Op do 28 jan. 2016 om 13:15 schreef Mate Beštek <[email protected]>: > >> 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 >>> >> >> _______________________________________________ >> openEHR-technical mailing list >> [email protected] >> >> 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. > > _______________________________________________ > openEHR-technical mailing list > [email protected] > > http://lists.openehr.org/mailman/listinfo/openehr-technical_lists.openehr.org >
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