In the present context of growing economic pressures being placed on practitioners, Clinical Quality Measures are often seen at odds with revenue goals. Additionally, clinicians often suffer from “learned helplessness” to create compelling data-based narratives surrounding innovations that accurately portray their differentiated care. By learning to interpret and compare data at a more refined level, clinical leaders can develop robust data models that can anticipate and transform their business strategy to predict possible clinical gaps and opportunities before they happen. Speaker will provide examples of how these data activation models will form the foundation of future intelligent services, workflow, and drive greater transformation within O & P healthcare.
