Big data is transforming clinical outcomes in multiple ways—from extracting information trapped in unstructured EHR fields to deciphering population health trends—helping providers up their game with qualitative medicine.
But we’re only beginning to unearth the potential for big data, or analytics, in revenue cycle management (RCM). Over the last few years, terms such as artificial intelligence (AI) and machine learning have entered our vocabulary, and we’re continually learning about new capabilities for advanced algorithms to process raw data, turn them into actionable insights, and automate workflows.
