Protecting the Healthcare Enterprise from PHI Breaches using Streaming and NLP
Who is this presentation for?Big-data engineers, cloud architects, healthcare
The healthcare technology domain has seen explosive growth in the past decade. Hospitals small and large are beginning to adopt cloud technologies and many are in a position of hybrid environments. These distributed environments pose unique challenges and none of which are arguably more critical than the protection of Protected Health Information (PHI).
The federal regulations that govern PHI have strict requirements on how PHI is handled and have potentially severe consequences in the case PHI is left unprotected or exposed. These requirements place a significant burden on the operations teams who maintain the environments. These teams often have to manage multiple production, test, and development environments. Having a tool that can help protect PHI from being transmitted across environment boundaries can help the organization meet its regulatory obligations.
In this talk we will present an architecture and the open source applications that implement it to identify and remove PHI from natural language text. We will show how streaming healthcare text can be ingested through Apache Kafka and processed by Apache Flink where NLP methods are used to identify and remove PHI. Lastly, we will demonstrate the deployment of the application to the cloud.
Prerequisite knowledgeFamiliarity with cloud computing and big-data concepts if helpful but not required
What you'll learn
Jeff is a software engineer and cloud architect. He is a committer and PMC on Apache OpenNLP. Jeff currently works on cloud, big-data, and NLP projects.
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