Medical Error and Technologies Research Workshop, London, 3 November 2004
First Meta-Network workshop captures flavour of things to come
The first
META network research workshop was held at the London School
of Economics on November 3 2004. Welcoming participants,
Tony
Cornford said that the goal of the network was to make
connections and help to build a stronger focus in research
on medical error and technology issues. The aim of the
workshop was to capture the flavour of some of the new work
that was underway in the field within various research
centres, and to get the feel for the range of people,
disciplines and theoretical perspectives that have entered the
field.
Setting
the scene for the day, Nick
Barber explained
that the whole medication error issue had exploded onto the UK
policy scene with the publication of the American report “To
err is human”. The huge estimates for medical error fatalities cited in
that report had taken the media by storm, and policy had to
follow such a provocative intervention. Work on errors was now
being taken seriously in the UK, but it still lacked a strong
theoretical basis.
“There
is a lay belief- also held by some policy-makers - that IT
will “solve things”, said Prof Barber. “But does it? New
drugs have side effects, but we don’t look for the side
effects of new technology.”
Most of
those chosen to present <click
here for summary of
presentations> were in the early stages of their PhD projects, and their presentations raised many
useful and interesting questions.
The tension
between researchers’ duty to patients and to other research
subjects in patient safety studies was one key issue debated.
For example, in what circumstances and in what way
should researchers report clinical negligence? Should the
anonymity of subjects be always preserved?
Different
definitions of error, and difficulties in defining the
boundary between error and normal variation were also the
focus for discussion. For
example, Sisse Olsen
pointed out that different surgeons had different
operating “styles”- some messier than others. “It’s variability
in practice, but where is the line? Too rigid a definition
forces regression to the mean.”
Systems
design was another topic area raised in discussion and a
number of participants noted problems with technology , for
example in user interfaces, in data extraction and data reporting.
In general, computerised systems were structured to support
processes rather than for accessing and reporting, so it could
often be difficult to retrieve historical data. Ideally, it
was noted, all error checking and reporting activity
(understood loosely to embrace a number of distinct styles of
computer use and human interventions), should be structured so
that organisations could learn from them. However, for
example, pharmacists’ interventions were often only reported
to the doctor who had made an error. This may mean that
consultants were not aware of the types of errors made by
junior doctors.
This
lead to a further discussion on the origins and sources of
technologies used to address error within health care. Penny
Ross was
concerned that national “generic” computer systems could
possibly make things worse for some users, because people
learned in different ways. She suggested that systems which
worked were
“bespoke not off the peg”.
For a
more systematic set of emerging discussing points click here.
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