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Meeting Data Wellness Needs in the Healthcare Industry

Healthcare at the Speed of Events

In this talk, we cover what event streaming is, and how Apache Kafka and Confluent are being applied and adopted in healthcare. We also discuss real world examples of how event streaming is helping shape healthcare: including managing benefits, sharing electronic health records, and combating pandemics.

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The HIMSS 2023 conference brings together healthcare and technology leaders each year for a comprehensive look at and discussion of how technology supports the delivery of more personalized and effective patient care. The 2023 theme of “Health That Connects + Tech That Cares” draws an interesting connection between the way technology impacts how care is delivered. Data is the key to providing care that meets the patient where they are and Confluent is proud to be the technology that powers the use of data. 

Confluent’s data streaming platform enables organizations to treat data as a continually updating stream of events rather than static snapshots in time. Event streaming puts data in motion and creates a central nervous system for the entire organization. Companies in the healthcare space can create a new paradigm that supports collecting a continuous flow of data throughout an organization and processing it in real time. This enables the discovery of new insights and maximizes patient centricity by simultaneously distributing data to every application or system. In healthcare, we’re seeing some critical use cases of data in motion and we’re excited to be talking about them at HIMSS. Here’s what we’re hearing other companies in the healthcare space are working on:

Benefits Determination

Confluent helps organizations get a complete view of members by aggregating data from the various touch points that members may use to enroll, and receive service, care, and support. This real-time view enables personalized care plans and outcomes. Confluent is the data engine behind product matching for a federal healthcare marketplace and helps the military to automatically determine eligibility for all applicable benefits.

Fraud Detection

Confluent provides a platform to layer on AI and ML technologies to detect patterns and outliers to flag insurance claims before they are paid out. Event streaming allows for data from numerous sources to be pulled together to ensure that claims align with treatment and diagnosis. Confluent powers claims determination processing for federal benefits.

Claims Processing

To meet the speed required to service claims, organizations must decouple legacy batch point-to-point architectures to produce real-time repositories of information. This means claims can get processed faster utilizing AI and ML as well as ensure the right people are involved in the review. With Confluent, agencies are able to distribute claims requests to the best available processors and post weekly updates to benefit eligibility. 

Data Sharing

Efficient and secure data sharing is a key requirement across healthcare. Whether it is between providers, payers, or patients, Confluent powers data streaming to enable organizations to have an up-to-date copy of the data in the technology of their choice. At the same time, it gives the option to have events pushed to perform event-driven actions without a copy. This approach allows the data consumer to act immediately based on real-time data. Confluent helped power COVID-19 vaccine management for a federal agency. 

To learn more about how Confluent is powering modern data flows for healthcare, visit us at booth 2479 in Chicago, April 18–20. If you can’t catch us at the show, learn more and contact us today.

  • In his current position, Mr. LaForest works with customers across a broad spectrum of industries and government enabling them to realize the benefits of a data in motion and event driven architecture. He is passionate about innovation in data technology and has spent 26 years helping customers wrangle data at massive scale. His technical career spans diverse areas from software engineering, NoSQL, data science, cloud computing, machine learning, and building statistical visualization software but began with code slinging at DARPA as a teenager. Mr. LaForest holds degrees in mathematics and physics from the University of Virginia.

Healthcare at the Speed of Events

In this talk, we cover what event streaming is, and how Apache Kafka and Confluent are being applied and adopted in healthcare. We also discuss real world examples of how event streaming is helping shape healthcare: including managing benefits, sharing electronic health records, and combating pandemics.

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