INTELLIGENT HEALTH
“Empowered
patients are
also asking for
faster access
to services,
personalised
experiences,
24/7 access and
connectivity,
and access on
more devices.”
But, today’s traditional IT infrastructures
often lack the scalability, performance,
and analytic capability to support the
business strategy and to make timely
and targeted care interventions at the
point of care.
How do healthcare organisations take
analytics to the next level to achieve
organisational goals for operational
efficiencies, predictive care, clinical
research, and population health
management? The answer is data lakes.
discoveries that can impact integrated
patient care. into data warehouses purpose-built for
historical business intelligence.
Data lakes also open up possibilities for
integrating information from wearables,
fitness devices, appliances built on the
Internet of Things (IoT) such as heart
monitoring implants, for personalised,
real-time care delivery. Adopting a data lake strategy builds
on current investments for business
intelligence and helps simplify storage,
management and analysis of big data
through integration of data in real-time,
near real-time, or in batch from disparate
sources, without impacting day-to-day
operations or access to data. Analytics
can now become forward-looking and
predictive, and complement the business
intelligence rear-view mirror.
Caregivers can employ advanced
analytics to use data generated
by these devices to help reduce
in-hospital complications and
unnecessary readmissions, deliver
personalised medicine, identify genetic
markers, improve clinical trial safety,
and much more.
This flexible and reliable platform
offers a myriad of new opportunities
to find trends and correlations, helping
providers to create a data-driven,
continuous learning environment.
Data Lake platforms provide massive
scalability, simple management and
operational flexibility – and can be
expanded beyond the core data centre
experience to extend aggregation and
accessibility benefits to both the edge
and cloud.
Traditionally, healthcare providers have
invested substantial time and effort into
extracting, transforming, and loading
(ETL) data from its original format
Moving forward, the use of advanced
analytics for next-generation
care delivery will become a key
differentiator for healthcare providers
in this highly competitive marketplace,
particularly with the demands of the
Information Generation.
Transforming into an information-driven
and data-focused organisation will
be critical to achieve and maintain a
competitive advantage.
Ultimately, a data lake helps healthcare
organisations run their operations
as a business. Real-time insights
and predictive models mean fewer
complications, fewer unnecessary
emergency room interventions, and
higher levels of wellness across the
population; all at a reduced cost. n
A data lake provides a powerful data
architecture with a unified location to
help reduce silos across the healthcare
enterprise. Data can also be connected
from trusted outside sources including
payers, genomic research centres, public
health databases, biobanks and social
media feeds.
The data lake allows for effective
cross data analysis and incorporates
all internal data sources and trusted
external sources for mining and
analysis by clinical departments,
business analysts, and data science
teams. With such future-focused
insights, healthcare providers can
further advance accountable care
initiatives, creating a new realm of
data science for uncovering trends,
patterns, relationships, correlations, and
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