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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