This is a guest blog post cowritten with athenahealth.
athenahealth a leading provider of network-enabled software and services for medical groups and health systems nationwide. Its electronic health records, revenue cycle management, and patient engagement tools allow anytime, anywhere access, driving better financial outcomes for its customers and enabling its provider customers to deliver better quality care.
In the artificial intelligence (AI) space, athenahealth uses data science and machine learning (ML) to accelerate business processes and provide recommendations, predictions, and insights across multiple services. From its first implementation in automated document services, touchlessly processing millions of provider-patient documents, to its more recent work in virtual assistants and improving revenue cycle performance, athenahealth continues to apply AI to help drive efficiency, service capabilities, and better outcomes for providers and their patients.
This blog post demonstrates how athenahealth uses Kubeflow on AWS (an AWS-specific distribution of Kubeflow) to build and streamline an end-to-end

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