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Flagler Hospital Tackles Clinical Variation with Ayasdi

Ayasdi, a pioneer in the creation and deployment of enterprise-class intelligent applications for the healthcare industry, announced today that Flagler Hospital, a 335-bed facility in St. Augustine, Fla., named one of America’s 100 Best Hospitals by Healthgrades in 2018, has licensed Ayasdi’s Artificial Intelligence (AI)-powered Clinical Variation Management (CVM) software application. This makes Flagler one of the first community hospitals in the country to deploy AI to create better clinical outcomes for its patients.

CVM is a foundational component of delivering value-based care. According to the Institute for Medicine, clinical variation can account for 30% of all healthcare costs. The complexity of the problem is immense, and few healthcare organizations have made progress in eliminating waste while simultaneously delivering a better class of care to their patients. This is a key area for AI, which can find the patterns and relationships from EMR (electronic medical record), billing and other clinical data, and discern the optimal treatment pathways for different patient groups.

“We are delighted to engage with Ayasdi on this mission-critical task of creating clinical pathways for our patient population,” said Michael C. Sanders, M.D., Chief Medical Informatics Officer at Flagler Hospital. “Our ability to rapidly construct clinical pathways based on our own data and measure adherence by our staff to those standards provides us with the opportunity to deliver better care at a lower cost to our patients. Given the complexity of the challenge, using AI to solve this problem is the right approach, and Ayasdi’s CVM application makes it accessible to our practitioners, a key part of the value proposition given Flagler does not have dedicated data science resources.”

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Ayasdi’s CVM application combines unsupervised learning techniques with supervised prediction and industry-leading explainability to rapidly construct potential care process models for both acute and non-acute procedures. The award-winning user interface can be consumed by doctors and administrators, and the selected care paths can be ingested into the EMR as order sets. The application leverages the Fast Healthcare Interoperability Resources (FHIR) standard to pull in the required data from a number of different sources across the hospital’s data landscape.

“We are excited to support Flagler as it applies machine intelligence to the challenges of clinical variation. In particular, we are pleased to see our technology get adopted by a community hospital, albeit one of the leading community hospitals in the country,” said Gary Hagmueller, Chief Operating Officer of Ayasdi. “Our application orientation around artificial intelligence ensures that practitioners across the spectrum can harness the powerful constructs that machine learning technologies bring to the healthcare industry.”

Flagler’s decision to move forward with an AI-powered solution will serve as a model for other community hospital organizations and consortiums. By using subject matter expertise as opposed to elusive data science talent, hospitals of any size can take advantage of the capabilities that AI creates. Further, by applying AI to their distinct patient populations, hospitals like Flagler can create fine-grained care paths that reflect the specific and often highly local characteristics of their patient populations.

To learn more about Ayasdi’s technology, visit

Oliver Smith


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