Imaged- Based AI Workflow - Brief Proposal
IHE Work Item Proposal (Short)
1. Proposed Work Item: Imaged- Based AI Workflow
Proposal Editor: Christopher Lindop, Shujah Das Gupta
Work item Editor: <volunteer to lead authoring of the work item itself>
Date: 10th August 2018
Version: V 1.0
2. The Problem
With the introduction of AI (Artificial Intelligence) based actors into the Radiology workflow, there is a significant challenge in integrating the workflow steps with existing Radiology actors (as outline outlined in the SWF, CDS-OAT, and PAW) and defining the transactions which need to be supported for the workflow.
The current approach being taken by most vendors is focused on introducing proprietary transactions and integrations which lead to a significantly fragmented workflow and introduce multiple new interoperability challenges. The proposed IHE work-item will outline well-defined transactions to support the integration of AI based actors leveraging existing standards-based operations to support the workflow and facilitate interoperability across these actors
3. Key Use Case
There are 3 primary integration which will need to be addressed for the integration of AI workflows:
1. Scheduling/triggering an AI algorithm for a specific case
2. Providing an update once the AI algorithm has been invoked and communicating the update to the billing system
3. Creating artifact(s) which are based on existing standards that can be linked to the patient record permanently
4. Standards & Systems
The proposal will look to leverage existing workflows and standards to support the integration of these actors through the following:
1. Leverage the transactions supported in the Radiology Workflow profiles (WSF.b and PAW)
2. Leverage existing IHE Workflow transactions for communication with the Healthcare IT systems for scheduling/billing/use tracking (CDS-OAT)
3. Defining standardized artifacts for the output of AI Algorithms (DICOM SR, Leveraging the SR IOD provided in PS3.21 to support transformations with other representations with potential FHIR based transactions)
IHE will be an appropriate forum to address the interoperability scenarios as the workflow steps will involve interactions across multiple actors and several transactions based on existing and developing standards can be leveraged to support the interactions.
This proposal is for a profile or whitepaper to facilitate adoption of the new as well as established DICOM and HL7 standards to address the challenges of AI in Image-based workflow.