Erik,
Congrats, it must feel really nice to be able to reach this point. Best of
luck for the defense :)

Best regards
Seref


On Sun, Jan 27, 2013 at 3:44 PM, Erik Sundvall <erik.sundvall at liu.se> wrote:

> Hi!
>
> My thesis entitled "Scalability and Semantic Sustainability in Electronic
> Health Record Systems" is now available online. It contains many
> openEHR-related papers and discussions (see abstract included below).
>
> Permanent link to electronic version of the thesis:
> http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87702
>
> Public PhD defence will be held the 15:th of February, in Link?ping,
> Sweden. Faculty opponent: prof. Dipak Kalra, UCL.
> Temporary event-information page: http://www.imt.liu.se/~erisu/2013/phd/
> (That page also contains a form where you have the possibility to indicate
> interest in online participation or in getting a recording.)
>
> Best regards,
> Erik Sundvall
> erik.sundvall at liu.se http://www.imt.liu.se/~erisu/  Tel: +46-13-286733
>
> Abstract
> This work is a small contribution to the greater goal of making software
> systems used in healthcare more useful and sustainable. To come closer to
> that goal, health record data will need to be more computable and easier to
> exchange between systems.
> Interoperability refers to getting systems to work together and semantics
> concerns the study of meanings. If Semantic interoperability is achieved
> then information entered in one information system is usable in other
> systems and reusable for many purposes. Scalability refers to the extent to
> which a system can gracefully grow by adding more resources. Sustainability
> refers more to how to best use available limited resources. Both aspects
> are important.
>
> The main focus and aim of the thesis is to increase knowledge about how to
> support scalability and semantic sustainability. It reports explorations of
> how to apply aspects of the above to Electronic Health Record (EHR)
> systems, associated infrastructure, data structures, terminology systems,
> user interfaces and their mutual boundaries.
>
> Using terminology systems is one way to improve computability and
> comparability of data. Modern complex ontologies and terminology systems
> can contain hundreds of thousands of concepts that can have many kinds of
> relationships to multiple other concepts. This makes visualization
> challenging. Many visualization approaches designed to show the local
> neighbourhood of a single concept node do not scale well to larger sets of
> nodes. The interactive TermViz approach described in this thesis, is
> designed to aid users to navigate and comprehend the context of several
> nodes simultaneously. Two applications are presented where TermViz aids
> management of the boundary between EHR data structures and the terminology
> system SNOMED CT.
>
> The amount of available time from people skilled in health informatics is
> limited. Adequate methods and tools are required to develop, maintain and
> reuse health-IT solutions in a sustainable way. Multiple levels of
> modelling including a fixed reference model and another layer of flexible
> reusable ?archetypes? for domain specific data structures, is an approach
> with that aim used in openEHR and the ISO 13606 standard. This approach,
> including learning, implementing and managing it, is explored from
> different angles in this thesis. An architecture applying Representational
> State Transfer (REST) to archetype-based EHR systems, in order to address
> scalability, is presented. Combined with archetyping this architecture also
> aims at enabling a sustainable way of continuously evolving multi-vendor
> EHR solutions. An experimental open source implementation of it, aimed for
> learning and prototyping, is also presented.
>
> Manually changing database structures used for storage every time new
> versions of archetypes and associated data structures are needed is likely
> not a sustainable activity. Thus storage systems that can handle change
> with minimal manual interventions are desirable. Initial explorations of
> performance and scalability in such systems are also reported.
>
> Graphical user interfaces focused on EHR navigation, time-perspectives and
> highlighting of EHR content are also presented ? illustrating what can be
> done with computable health record data and the presented approaches.
>
> Desirable aspects of semantic sustainability have been discussed,
> including: sustainable use of limited resources (such as available time of
> skilled people), and reduction of unnecessary risks. A semantic
> sustainability perspective should be inspired and informed by research in
> complex systems theory, and should also include striving to be highly aware
> of when and where technical debt is being built up. Semantic sustainability
> is a shared responsibility.
>
> The combined results presented contribute to increasing knowledge about
> ways to support scalability and semantic sustainability in the context of
> electronic health record systems. Supporting tools, architectures and
> approaches are additional contributions.
>
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>
> http://lists.openehr.org/mailman/listinfo/openehr-clinical_lists.openehr.org
>
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