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acquisition in real-time, storage, integration and
rapid availability of all clinical information.
5 CONCLUSIONS AND FUTURE
WORK
The main concern in ICU is to avoid or reverse
organ failure, in order to preserve the patients’ lives.
The INTCare system is being developed for hourly
prediction of the patients’ clinical condition, i.e. the
prediction of dysfunction/failure of the organ
systems (cardiovascular, respiratory, renal,
coagulation and liver systems) and outcome. We
believe that, with this fine grained prediction, it will
be possible for the healthcare professionals to have a
timely intervention and a proactive attitude so that
worst complications for the patients may be avoided.
Further work will encompass the test of the DM
models generated so far, with online and real-time
data from the ICU of HSA, in order to guarantee
their accuracy or, in case their performance decays,
to optimize them. The models presented used data
manually entered and the next step is to use them
with the new adjustments of the system, i.e., online
and in real-time. Prediction, optimization and
adaptability are features that make INTCare an ABI
system, whose maid goal it to allow the medical
staff to make better decisions, at the right time and
place, improving quality in health care.
The integration with the various data sources and
with the rest information systems of the hospital has
been supported by the development of an ENR and
further related work include its test in the ICU and
subsequently, its optimization.
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