Carolinas HealthCare System Launches Analytics Capabilities
Carolinas HealthCare System announced it has developed and adopted several comprehensive capabilities that successfully integrate data analytics for evidenced-based population health management, individualized patient care and predictive data modeling.
These capabilities were created with the understanding that the future of healthcare is being fundamentally changed by data and technology, and sustainability of quality care is dependent upon the ability to understand and use data in a meaningful way. This includes developing some of the most advanced healthcare analytics available and creating a comprehensive Enterprise Data Warehouse to store 10 terabytes of patient centered data – equivalent to storing the entire printed collection from the Library of Congress.
The new analytics capabilities include readmission risk modeling that can help providers predict a patient's 30-day readmission risk with nearly 80 percent statistical accuracy. Forty different patient variables deemed highly predictive of unplanned readmission are pulled daily from electronic medical records and are analyzed and delivered in real-time to healthcare providers who then can prioritize high-risk patients and customize care for patients.
"At Carolinas HealthCare System, we have more than 10.5 million patient encounters in a variety of care settings each year and have used de-identified, rich data to develop innovative models that can be scaled broadly," said Allen Naidoo, PhD, vice president of advanced analytics for Carolinas HealthCare System. "We are able to integrate clinical, claims and billing data and are one of the few healthcare systems that have been able to accomplish this on such a large scale."
The System also developed an outpatient analytics tool that allows its providers to benchmark and monitor patient improvements across facilities. Using electronic medical records data to analyze care patterns and disease trends for more than 1.5 million patients, healthcare providers can segment, and then stratify, patient data by demographics, geography and clinical diagnoses. Called geospotting, this is the crux for the System's population health capabilities. It analyzes the layers within a community and combines geographic information systems and predictive models to identify health needs and outcomes.
"Each data set we collect is masked of the original data contributor, but being able to drill down into the data helps us reduce variations in care and deliver overall better care, outreach and coordination," said Michael Dulin, MD, PhD, chief clinical officer for analytics and outcomes research for Carolinas HealthCare System. "In addition to providing better care for our patients, these tools and programs will help reduce the cost of care and create better value, impacting the entire healthcare community."
Carolinas HealthCare System began incorporating clinical and financial data across its continuum of care in 2011 and later created an in-house advanced analytics group, Dickson Advanced Analytics, dedicated to creating strategic, long-term programs for developing and implementing healthcare analytics. Through the group's work, Carolinas HealthCare System can share diverse clinical and patient experiences and data to develop solutions that address unmet healthcare needs.
"Carolinas HealthCare System is creating solutions that allow us to build and leverage data models and information, adding significant value to patient care," said Michael Tarwater, chief executive officer for the System. "In the end, healthcare analytics is about improving the health of the patient and of the population. To better understand and address their needs, we have to be able to see the bigger picture, and as we continue growing our capabilities, we can help patients more quickly and efficiently."
