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2 reference architecture designs for the healthcare industry

Consider these Portfolio Architectures for your next healthcare architecture design.
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Black and white structure medical

Photo by Tara Winstead from Pexels

In 2020, our world transformed overnight, and healthcare had to respond immediately. More than ever, the industry had to be at its best when people needed it the most. To achieve this, it's critical to have access to data and unlimited scale and to design and modify decision making, processes, and workflows for specific situations while being vendor-independent.

For the past few years, Red Hat's Portfolio Architecture team has been developing reference architectures based on customers' real-world use cases in various industries, including healthcare. We have multiple criteria for developing and vetting an architecture collection before we publish it, which you can read about in my intro article about Portfolio Architectures.

We're publishing these architectures for anyone's use in our Red Hat Portfolio Architecture Center and Portfolio Architecture Examples repository.

This article presents architectures in the healthcare industry. There are two architectures in this collection. This article provides a short overview of each and allows you to explore them in-depth on your own.

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Healthcare architecture portfolio
Click image for larger view (Eric Schabell, CC BY-SA 4.0)

In each architecture's GitHub repository (linked in the architectures' descriptions), you'll find a table of contents outlining the technologies used, several example schematic diagrams with descriptions, and a link to open the diagrams directly into the online tooling in your browser.

Intelligent Data-as-a-Service architecture

The Intelligent Data-as-a-Service (iDaaS) architecture is about building and delivering systems and platforms in a secure and scalable manner while driving data needs for moving towards consumerization in healthcare.

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Intelligent Data-as-a-Service architecture
Click image for larger view (Eric Schabell, CC BY-SA 4.0)

Edge medical diagnosis architecture

The edge medical diagnosis architecture accelerates medical diagnoses by using artificial intelligence and machine learning (AI/ML) to detect conditions in medical imagery at medical facilities.

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Edge medical diagnosis architecture
Click image for larger view (Eric Schabell, CC BY-SA 4.0)

Learn more

These are two of the many reference architectures Red Hat's Portfolio Architects have published, and we'll continue to post them as we complete them. If you are interested in more architecture solutions like these, feel free to explore the Portfolio Architecture Examples repository.


This article originally appeared on Eric D. Schabell's blog and is republished with permission.

Author’s photo

Eric D. Schabell

Eric is the Director of Technical Marketing and Evangelism at Chronosphere where he leads the technical marketing and evangelist teams for the only observability platform that tames rampant data growth and cloud-native complexity. More about me

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