transforming healthcare through enterprise analytics at carolinas healthcare system
TRANSCRIPT
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.