PhD Thesis online: Detailed clinical models and their relation with Electronic Health Records
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Wed Jan 27 20:38:32 EST 2016
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------ Original message------From: Diego BoscáDate: Wed, Jan 27, 2016 17:42To: 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 RecordsHello all,My thesis "Detailed clinical models and their relation with ElectronicHealth Records" is now available online. Until the universitypublishes it on the public repository, here is a link to it.https://www.dropbox.com/s/rqmmh9b541u7wpr/TesisDiego_v2.pdf?dl=0The slides are also available just in case anyone wants a quick summaryhttp://www.slideshare.net/yampeku/detailed-clinical-models-and-their-relation-with-electronic-health-recordsI also attach the abstract belowBest RegardsDiego BoscáAbstractHealthcare domain produces and consumes big quantities of people’shealth data. Althoughdata exchange is the norm rather than the exception, being able toaccess to all patient data isstill far from achieved. Current developments such as personal healthrecords will introduceeven more data and complexity to the Electronic Health Records (EHR).Achieving semanticinteroperability is one of the biggest challenges to overcome in orderto benefit from all theinformation contained in the distributed EHR. This requires that thesemantics of theinformation can be understood by all involved parties. It has beenestablished that three layersare needed to achieve semantic interoperability: Reference models,clinical models(archetypes), and clinical terminologies.As seen in the literature, information models (reference models andclinical models) arelacking methodologies and tools to improve EHR systems and to developnew systems that canbe semantically interoperable. The purpose of this thesis is toprovide methodologies andtools for advancing the use of archetypes in three different scenarios:- Archetype definition over specifications with no dual modelarchitecture nativesupport. Any EHR architecture that directly or indirectly has thenotion of detailedclinical models (such as HL7 CDA templates) can be potentially used asa referencemodel for archetype definition. This allows transforming single-modelarchitectures(which contain only a reference model) into dual-model architectures (referencemodel with archetypes). A set of methodologies and tools has been developed tosupport the definition of archetypes from multiple reference models.- Data transformation. A complete methodology and tools are proposedto deal with thetransformation of legacy data into XML documents compliant with thearchetype andthe underlying reference model. If the reference model is a standard then thetransformation is a standardization process. The methodologies andtools allow boththe transformation of legacy data and the transformation of databetween differentEHR standards.- Automatic generation of implementation guides and reference materials fromarchetypes. A methodology for the automatic generation of a set of referencematerials is provided. These materials are useful for the developmentand use of EHRsystems. 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 differentways to adaptto different types of users (clinical or information technologystaff). This way, users caninclude the detailed clinical model in their organization workflow andcooperate in themodel definition.These methodologies and tools put clinical models as a key part of thesystem. The set of presented methodologies and tools ease theachievement of semantic interoperability by providing means for thesemantic description, normalization, and validation of existing andnew systems._______________________________________________openEHR-implementers mailing listopenEHR-implementers at lists.openehr.orghttp://lists.openehr.org/mailman/listinfo/openehr-implementers_lists.openehr.org
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