It works, but you have to be patient. It takes a while.

Randolph


On 11/8/07, Eddy Rospide <edrs22 at yahoo.com> wrote:
>
> Hi David,
>
> The thesis link does not work.
>
> Thanks,
>
> Eddy
>
> *David Ingram <d.ingram at chime.ucl.ac.uk>* wrote:
>
> The interesting discussion about database persistence layers for EHRs
> minds me to point the group to my PhD student Tony Austin's research, which
> underpinned the current CHIME clinical cardiology record and decision
> support system demonstrators, based on our precursor work to openEHR, in the
> EU GEHR and Synapses projects.
>
> The thesis can be accessed at:
>
>
> http://www.ehr.chime.ucl.ac.uk/download/attachments/71/Austin%2C+Tony+%28PhD+2004%29.pdf?version=1
>
> The main quantitative results begin on page 191, although that whole
> chapter needs to be read to understand how the tests were set up and
> performed.
>
> Here is the abstract, to give an idea of the scope. It was a huge piece of
> experimental work, with live records, and probably could have made two
> PhDs;  it took a long time!
>
> The new version of the server, in beta test, is archetype based, but is
> not a native implementation of the openEHR Reference Model specifications,
> as that is a step too far for us at our demanding clinical application coal
> face, at the moment.
>
> *Abstract of Tony Austin's PhD thesis, April 2004.
>
> *Records grow and multiply for a patient throughout their life. Healthcare
> enterprises are presently
> unable to integrate the clinical information continuously accumulating
> from patient care or to
> communicate it to a point of need. Their medical records are expected to
> be legally valid, complete,
> accurate, and available in a timely fashion. As a consequence they must be
> adequately expressive and
> maintained in such a way as to facilitate secure physical retrieval.
> This thesis begins by considering the history of structured and electronic
> medical records, along with
> the histories of distributed systems and databases. It proposes key
> infrastructure technologies that
> could be used for the development of an electronic healthcare record
> server. Two models are then
> established, to represent transferable clinical records in general, and to
> represent the structure that
> those records are required to take. With these there is a means to ratify
> healthcare data between
> different providers and ensure that received healthcare data of any type
> can be meaningfully
> processed.
> The performance strengths and weaknesses of seven different physical
> databases are assessed. These
> represent a cross-section of relational, object-oriented and XML
> technologies. Another
> implementation is created for the purposes of federation. A large-scale
> deployment involving
> anticoagulant therapy management within a hospital Cardiology Department
> provides clinically valid
> evaluation data.
> An object-oriented model is shown to be highly suited to the task of
> representing medical data.
> Middleware code converting object model data to any of the database
> architecture formats is never
> demonstrably the limiting factor in the performance of the overall server.
> Consequently relational
> databases are equally suitable as persistence engines for medical records.
> The new class of XML
> databases perform well but incur significant space overhead.
>
> Hope this may be of interest to those considering these issues, now.
> Obviously the world has moved on but the way we tackled the issues may still
> have some relevance.
>  David Ingram, Professor of Health Informatics,
> Tel.  020 7288 5965
> CHIME, University College London,
> Fax. 020 7288 3322
> Archway Campus, Highgate Hill, London N19 3UA
> http://www.chime.ucl.ac.uk _______________________________________________
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>
>
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