Carolinas HealthCare System (CHS).

Transforming Healthcare through Enterprise Analytics at

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.

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.

The industry has over

exabytes 150of data, and much of the new data is unquantified.*

*"Transforming Healthcare Through Enterprise Analytics at Carolinas HealthCare System" webcast

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

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.

- 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

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- 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

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

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:

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.