INTELLIGENT VERTICAL
are commonly linked
to primary illnesses so
healthcare providers know
what symptoms to watch
for. This early warning
can help care providers
treat patients at the first
sign of an exacerbated
or secondary illness,
and avoid readmissions
reimbursement penalties.
Clinical analysis also
helps healthcare facilities
allocate staff and device
resources in real time
in order to eliminate
bottlenecks, reduce
patient waiting times and
provide optimal patient
care and coverage. These
proactive steps contribute
to improved patient
satisfaction and outcomes.
providers to make decisions
based on data offering
supported foresight
instead of guesses. Rich
data and analytics give
decision makers the ability
to actually affect future
results with a reasonable
degree of confidence in
the outcome.
In conclusion, new health
data analysis tools provide
expanded opportunities
for healthcare providers
to streamline operations,
improve patient care and
outcomes, and reduce
costs for the practice and
the patient.
decisions they could based on
personal experience or data manually
aggregated from databases and
spreadsheets. Making decisions
based on spreadsheets introduces
unnecessary risk because
spreadsheets are notoriously
error-prone and labour intensive.
Data management software is
exponentially faster, more powerful
and more reliable than manual
legacy tools such as Excel, which were
originally designed for finance. By leveraging advanced
information management
technology, healthcare
providers can capture,
classify and present
aggregated data formerly trapped
in structured and unstructured
data formats. Once managed, this
data can be used for business and
clinical analysis that benefits the
business, patients and population.
By gathering critical data trapped in
silos and systems across the business
and practice, applying predictive
analysis and making results available,
clinicians, administrators, key decision
makers and healthcare practices can
lower costs for the organisation and
improve quality of life for everyone.
For healthcare providers, this real-
or near-real-time data analysis can
improve patient care and quality
of life because it is based on data
gathered from silos across the
entire practice, and is free of human
intervention (therefore reducing
error). Clinical and business analytics
allow administrators and care David Whitton has worked in document
management related businesses since
1989 starting in document scanning
with Bell and Howell in 1996 covering
Germany, Austria and Switzerland.
His first encounter with the Middle
East was at Fujitsu in 1999 where he
increased the focus on KSA and the
Gulf dramatically. ¡
David Whitton, General Manager of Kodak Alaris
for the Middle East
2. Allow care providers
to see if treatments are
effective.
Clinical analysis allows healthcare
providers to monitor the effect of
treatments over time with individuals
or groups. This real-time data can
help clinicians change an ineffective
or sub-effective course of treatment
earlier in the patient care cycle, in
contrast to the traditional ‘watch and
wait’ scenario. By changing a course
of treatment earlier, healthcare
providers can head off secondary
disease, provide a structured,
reassuring course of treatment, and
improve the treatment effects for the
patient and the overall success rate
of the practice.
3. Enable decision making based
on foresight.
In the past, administrators and
clinicians had to make the best
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