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Data Integration Flow Interactive Infographic

Run the Data Integration Flow Interactive Infographic MicroSim Fullscreen

About This MicroSim

This infographic shows how a central healthcare knowledge graph is fed by eight source systems, each using a different integration pattern suited to its data and latency needs. Real-time clinical events arrive by change-data-capture and Kafka streams, claims arrive in nightly batches, pharmacy and reference data come through APIs, lab results via HL7 messages, FHIR resources through federated queries, and social-services data by manual upload. The variety illustrates that one graph typically integrates many systems at many speeds.

How to Use

Hover over any source system to see what data it provides, how often it updates, and which integration pattern it uses; the connection and its label highlight while the others dim. Compare the patterns — real-time streams (EHR CDC, ADT Kafka) versus the nightly claims batch versus on-demand API and federated queries — to understand the trade-offs in latency and freshness across a heterogeneous healthcare data landscape.

Iframe Embed Code

You can add this MicroSim to any web page by adding this to your HTML:

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<iframe src="https://dmccreary.github.io/modeling-healthcare-data/sims/data-integration-flow-infographic/main.html"
        height="450px"
        width="100%"
        scrolling="no"></iframe>

Lesson Plan

Grade Level

9-12 (High School Geometry)

Duration

10-15 minutes

Prerequisites

TODO: List prerequisites.

Activities

  1. Exploration (5 min): TODO
  2. Guided Practice (5 min): TODO
  3. Assessment (5 min): TODO

Assessment

TODO: List assessment criteria.

References

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