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

Ian McNicoll ian at freshehr.com
Thu Jan 28 10:12:59 EST 2016


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: ian at freshehr.com
twitter: @ianmcnicoll

Co-Chair, openEHR Foundation ian.mcnicoll at openehr.org
Director, freshEHR Clinical Informatics Ltd.
Director, HANDIHealth CIC
Hon. Senior Research Associate, CHIME, UCL

On 28 January 2016 at 12:40, Jan-Marc Verlinden <jan-marc at medvision360.com>
wrote:

> Congratulations indeed!!
>
> Jan-Marc
>
> Op do 28 jan. 2016 om 13:15 schreef Mate Beštek <mate.bestek at gmail.com>:
>
>> Congratulations!
>>
>> Regards,Mate
>>
>> On 28 January 2016 at 11:22, Nadim Anani <Nadim.Anani at 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-bounces at 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.
>>>
>>> _______________________________________________
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>>>
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>>>
>>
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>
> --
>
> Jan-Marc Verlinden
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