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This summarises the validation process that the Isabel Differential
Diagnostic Tool (IDDT) has gone through to date and the forthcoming
plans. Few decision support systems have undergone rigorous evaluation
before being offered for general use. However, due to the considerable
impact the IDDT could have we have chosen to put it through a robust
validation process. In addition, it is important to remember that
the IDDT is simply constructed by applying established software
produced by Autonomy Corp to some of the most widely used medical
textbooks. The resulting system effectively enables the user to
interrogate a collection of textbooks in a rapid and intelligent
way.
The
full test protocols and results are available on request. The first
two stages of testing were designed to show whether the concept
of a diagnostic tool actually worked and came up with credible results.
The third stage of testing, preceded by a simulated field trial,
will not only test the IDDT in greater detail and across a broader
spectrum of paediatric conditions but will also evaluate how the
use of the system changes the clinician's management of patients.
Stage
1 Tests: completed in August 2000
The
aim of these tests was to demonstrate whether the basic concept
of a diagnostic tool worked. At this point the only textual content
we had entered into the system were the specialities of Infectious
Diseases and Rheumatology. Junior doctors and Consultants at one
teaching hospital were asked for clinical case scenarios, ideally
from personal experience, with the expected final diagnosis. The
initial clinical features from the scenarios were then entered into
the IDDT and the results were compared with a list of expected diagnoses.
Out of the 99 case scenarios provided, the IDDT showed the expected
diagnosis or diagnoses in 90 cases: an accuracy rate of 91%. The
output list from the IDDT was programmed to limit the list of possible
diagnoses to 15.
These
results were presented to the Royal College of Paediatrics annual
conference in April 2001 where Isabel was awarded first prize in
its category.
Stage
2 Tests: carried out October -December 2000
The
setting for stage 1 tests was clearly artificial so for stage 2
we aimed to evaluate the IDDT with real life clinical scenarios.
Junior
doctors working in four A&E departments collected data from
patients they assessed over a 3-month period in 2000. The data collected
was: age group, presenting clinical features, the doctors' working
diagnosis and the final diagnosis using the patient's discharge
summary. Clinical features from 100 patients were entered into the
IDDT and the output compared to the known final diagnosis. Out of
these 100 cases, the IDDT showed the correct final diagnosis in
83 cases. In 13 of the 100 cases the final diagnosis was not a diagnostic
category in the Isabel system (e.g. non-specific). When these 13
cases are removed the true accuracy rate was 95%. Again the output
from the IDDT was limited to a maximum of 15 diagnoses.
These results have been submitted for publication in a peer reviewed
medical journal.
Stage
3 Tests: Simulated Field Trial followed by Real Life Randomised
Control Trials
Confident
that the IDDT produces sensible results, the aims of the stage 3
tests are to test the efficacy of the doctor versus the combination
of the doctor and IDDT in a real life setting. In order to gather
a large volume of data we have designed a special version of the
IDDT which allows a doctor participating in the trial to fill out
the required form in a prescribed sequence entirely online. As an
intermediate step to the full-scale trials we have carried out a
simulated field trial which aimed not only to test the IDDT across
a broad spectrum of conditions, but also to test the online forms
themselves.
The
simulated field trial was suggested to us by Jeremy Wyatt, one of
the foremost world authorities on clinical decision support systems
and advisor to the Department of Health; our protocol has been written
following close discussions with him. The trial consists of 10 doctors
from four different grades ranging from medical student through
to consultant; each one tests the system with 12 case scenarios
across a range of specialities as well as a range of difficulty
ranging from the routine to the more unusual. The special trial
version of the IDDT only allows the doctor to move forward through
the cases in a set sequence. Most notably, he only has access to
the output from the IDDT once he has entered his own differential
diagnosis and management plan. The key outcomes that we will be
trying to measure are:
1.
the quality of the output from the IDDT
2. how it changed the doctor's management plan
3. how long it took him to evaluate each case.
Once
we have fully analysed the results from the field trial and are
satisfied that the software functions correctly we will then begin
the full randomised control trials. These will be in a live setting
at 10-12 large hospitals around the UK lasting over a six-month
period to coincide with the new intake of junior doctors. With these
trials the doctors will use the same special version of the IDDT
as used for the simulated field trial but with real cases as they
present at the hospital. The key aspects we will be trying to measure
here will be the change in the diagnostic and patient management
quality before and after using the IDDT. We shall also be attempting
to measure the change in clinical outcomes and the time taken for
each consultation. We anticipate that these randomised trials will
run from September 2002 to March 2003.
Isabel IN BRIEF
| WHAT IS Isabel?
| WHY DO WE NEED Isabel?
| HOW DOES Isabel WORK?
HOW TO USE Isabel
| VALIDATION PROCESS
| HOW DID Isabel START?
THE Isabel TEAM
| BUDGET
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