1.
Carolinas HealthCare System (CHS).
Transforming
Healthcare through
Enterprise Analytics at

2.
Meet Carolinas
HealthCare
System (CHS)
Carolinas HealthCare System
(CHS), like most healthcare
providers, wanted a comprehensive
solution for the flood of big data
from patients' health records as
they transitioned to electronic
record keeping. Since the data is
incredibly valuable, CHS looked for
a partner with analytic solutions
that could help them transform the
way they manage patient data, and
ultimately, deliver better care.

3.
Challenges
for Healthcare
Providers
As healthcare providers of all
sizes and specialties move
towards electronic record
keeping, they find the vast
amount of data it generates
to be challenging, not only
everyday, but by the second.

4.
The industry has over
exabytes
150
of data, and much of the
new data is unquantified.*
*"Transforming Healthcare Through Enterprise Analytics at Carolinas HealthCare System" webcast

5.
Up to
80%
of data in an electronic
medical record can be
unstructured, seriously
impacting a provider's
ability to care for patients.*
*"Transforming Healthcare Through Enterprise Analytics at Carolinas HealthCare System" webcast

6.
The team
formed one
group with
• Front-End Client Services –
For requests and project
assignments
• Abstraction Services – To extract
data from medical records for
reports and the front-end team
• Analytic Services – Use
advanced predictive models for
better data analysis
• Data Services – Collect data
from servers and deliver to
the analytics team
For more insight, register and view
this informative webcast.

7.
- Population health is a top priority for many organizations, given its
large impact on ever facit of system success.
- The IBM Healthcare Data Model helped make CHS's health data
more:
• Comprehensive – Integrated across clinical operations
and financial inputs
• Inclusive – Intuitive with in-house data models that
evolve as needs expand
• Validated – Used an industry-validated data model
• Intelligent – Business intelligence reporting template
to address standard analytic requirements
• Collaborative – Created a gateway between business
and technical data sources
Transformative Data
Solutions at Work
Case Study 1: Population Health
For more insight, register and view the webcast.

8.
- Determining the probability of patient readmission is a
huge asset for healthcare organizations.
- CHS developed a successful model that provided greater
clarity on 30-day unplanned readmissions.
- Solutions from IBM delivered:
Case Study 2: Predicting Readmission
• A commercially viable data model as reference, avoiding the
time needed to build a new model
• Strong technical architecture, like solid-state servers using
IBM’s PureData®
technology for faster response time
• Aligning heterogeneous environments with new techniques
to create a standard interface format
• Denormalized data marts enabling data scientists to
provision data more easily
• Insights for data stewards to look at data in new ways
• Inspiration to make data governance a top priority
Transformative Data
Solutions at Work

9.
After discovering that a large segment of the population was
underserved, CHS wanted to find a solution for asthma patients.
CHS developed an electronic Asthma Action Plan (eAAP) that
helped make the delivery of treatment more efficient by making
procedural processes for caregivers more productive.
Case Study 3: Asthma
Transformative Data
Solutions at Work

10.
Children
drop-in visits
dropped
50%
within 6 months
Hospital rates
dropped
60%
The use of
oral steroids
dropped
40%
Case Study 3: Asthma
The Results:

11.
Register for the webcast “Transforming
HealthCare Through Enterprise Analytics at
Carolinas HealthCare System” to learn more
about Carolinas HealthCare System's story
and how IBM works with healthcare providers
to build IT infrastructures and integrated
processes that enable them to transform
their level of care for patients with the use
of data analytics.
For more insight, register for the webcast.