or by a different reader, of old cases after some time
is suitable. This enables the tracking of the reading
quality over time and is a great quality assurance
method which would be hard to do without
electronic support.
2.4 Further Improvements
Great potential of electronic software support lies in
the possibility to automate routine tasks like
notifications and thus disburden human
coordinators.
The software can automatically notify a reader
when a local site submitted an examination for
reading or the local site when an examination has
been read. Every actor in the reading process is
notified at the right point of time, so there is no need
for manually checking to-do lists. This enables
higher turnaround times because of minimal waiting
time.
For high quality reading results the data quality
of the source data is crucial. Therefore it is
mandatory to approve all local sites prior to their
first submission of real data. Usually this is done by
submitting several sample examinations which then
are tested for eligibility. Great parts of this
certification can be automated, e.g. the check for
completeness of the submissions.
Not only is the source data quality important but
also the data quality at every point of the reading
process. Wherever possible the software should
observe it. As already mentioned spelling mistakes
are quite common and to some level the software
can automatically notify the user about them. There
are more mistakes of that kind. For example it can
happen that the source data does not suffice the
needed quality standards, e.g. because of missing
measurements or being in an invalid format. If the
source data format is well defined the reading centre
software can automatically reject the submission and
notify the local site. Reading results can be wrong
due to various reasons, too. Again the software can
inform the reader in the case of implausible results.
Beside that the reading centre software can
observe the examination and reading values over
time and notify the senior reader if they drop out of
predefined ranges or worsen by a predefined
percentage rate. This helps to ensure that all adverse
events are noticed.
Furthermore it is possible to enforce an ongoing
training of all reading centre members. The software
system can be used for this purpose, e.g. by
discussing sample cases in a group. Not only can the
requirement of continuous training be fulfilled this
way. Also a common way to rate examinations is
created, which asserts a constant quality regardless
of the particular reader. This becomes even more
relevant if difficult real-world cases are used for this
training. The acceptance of the training among the
personnel may be enhanced by integrating the
training cases via e-learning into the normal day-to-
day work of the reading centre.
3 CONCLUSIONS
Reading centres are a good way to enhance the
quality and acceptance of clinical trials. Although
computerised systems have the potential to
drastically improve the delivered quality, in
ophthalmic reading centres specialised software is
rarely used. Instead many centres still rely on e-mail
communication and manual coordination of the
reading process. In this paper we proposed several
possibilities how a specialised software system can
improve the quality and compliance of a reading
centre.
Large parts of the proposed methods were
successfully implemented in a proof of concept
system for the Tuebingen ERG Reading Centre at
the Institute for Ophthalmic Research, University of
Tuebingen. For the actual implementation Nuxeo, an
Enterprise Content Management (ECM) System
which provides a reliable basis for data storage,
workflow management and permission management,
was used. This ECMS was heavily customized to
fulfil the requirements of modern reading centres.
The result is a sophisticated software system, which
not only ensures high quality results and study
protocol compliance, but also greatly improves the
comfort for both the local sites and the reading
centre members.
Further advantages will emerge if the software
manages not only one single reading centre but the
whole study like proposed in (Strasser et al., 2008).
This way all information is kept in a single
repository, superseding the need for data exchange
between different systems used during the trial.
REFERENCES
Nuxeo: open source ECM project based on modern Java
EE standards, http://www.nuxeo.org, accessed July
16, 2008.
Strasser et al., 2008. An integrated System for Workflow
and Data Management in Clinical Trials, Invest.
Ophthalmol. Vis. Sci. 2008 49:E-Abstract 5216, 2008.
Peters et al., 2008. The Steinbeis ERG Reading Centre for
Electrophysiological Data in Tuebingen, ISOT
Congress 2008. Philadelphia, September 25, 2008 –
September 28, 2008.
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