Situational Awareness for Novel Epidemic Response
1.0.0 - STU Release
Situational Awareness for Novel Epidemic Response
1.0.0 - STU Release
This page is part of the Situational Awareness for Novel Epidemic Response (v1.0.0: STU 1) based on FHIR R4. This is the current published version in its permanent home (it will always be available at this URL). For a full list of available versions, see the Directory of published versions 
This guide envisions a system architecture comprised of small, easily deliverable components that can be used together to support deployment of reporting, analysis, alerting and data aggregation tools to support fast deployment of solutions supporting public health situational awareness.
The technology uses for SANER includes both FHIR Servers and clients, implemented in or along side other Health IT Systems to support the use cases of this IG. The use cases in turn are supported by the definitions of actors that implement various transactions to implement the functionality described in this guide. These transactions exchange data conforming to profiles and using the vocabulary defined in this guide.
The major design components described by this guide support the following functions:
These functions are described in more detail in the sections below.
The reporting component is responsible for reporting utilization data known by an authoritative system in the hospital. There may be multiple authoritative systems for different kinds of reporting data. A reporting component will create FHIR Measurement Reports documenting the measures that are known to the authoritative system. These reports will be collected in some form of centralized storage or transmission solution. That solution could be as simple as a file system, or more complex (e.g., using cloud-based storage), and could involve different protocols, including S3, Azure Blob Storage, SFTP, or FHIR RESTful APIs and a FHIR Server.
In this guide, the Reporting component is implemented by the Measure Source actor.
The presentation component selects some subset of available data and presents it to end users providing those users with the ability to interpret and act on the presented information. These components may generate maps showing hot spots based on some aspect of the measured data, charts and annotations of recent trends (e.g., current values plus projections over time), or other visualizations.
In this guide, the Presentation component is implemented by the Measure Consumer actor.
Adapters bridge systems lacking certain capabilities with other systems requiring those capabilities, much like a ground adapter does with two pronged electrical outlet.
In this guide, the Adapter component is implemented by the Measure Intermediary actor.
Several off the shelf FHIR Server components exist, which can be stood up in a data center or in the cloud to provide functionality that supports the FHIR Project. HL7 offers a page filled with Open Source FHIR Servers (and client) implementation software.
The figure below shows a FHIR Server acting as an Intermediary between a Hospital and Public Health
However, a Hospital could simply configure its own FHIR Server, and Public Health could then pull the data they need from it.
Or, Public Health can configure its own FHIR Server, and a Hospital can push the data to it.
Deployments can also use external storage, for example a file system, message queue, network or cloud storage, SFTP, or even Direct Messaging to exchange data. In the figure below, a hospital pushes data to its own external storage, and public health pulls data from it.
But a hospital might as easily push data to public health’s external storage system.
System components are designed such that they can be individually deployed and configured.
The following diagrams depict several different deployments with different responsibilities owned by a Hospital or Public Health Agency
IG © 2020+ HL7 International Public Health Workgroup. Package hl7.fhir.uv.saner#1.0.0 based on FHIR 4.0.1. Generated 2021-09-07
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