Difference between revisions of "Enhanced SOLE for AI"

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SOLE, Standardize Operational Logging of Events
SOLE, Standardize Operational Logging of Events
:[https://www.ihe.net/uploadedFiles/Documents/Radiology/IHE_RAD_Suppl_SOLE.pdf / IHE_RAD_Suppl_SOLE.pdf]
:[https://www.ihe.net/uploadedFiles/Documents/Radiology/IHE_RAD_Suppl_SOLE.pdf IHE_RAD_Suppl_SOLE.pdf]
W3C Trace Context  
W3C Trace Context  
:[https://www.w3.org/TR/trace-context-1 / www.w3.org/TR/trace-context-1] (V1, status: recommendation)
:[https://www.w3.org/TR/trace-context-1 www.w3.org/TR/trace-context-1] (V1, status: recommendation)
:[https://w3c.github.io/trace-context / w3c.github.io/trace-context] (v2, status: draft)
:[https://w3c.github.io/trace-context w3c.github.io/trace-context] (v2, status: draft)
==5. Discussion==
==5. Discussion==

Revision as of 11:13, 1 July 2022

Enhanced SOLE for AI Power Point presentation

1. Proposed Workitem: Enhanced SOLE for AI

  • Proposal Editor: Chris Lindop, Neil Tenenholtz, Rob Horn, Brian Bialecki
  • Editor: <Name of candidate Lead Editor for the Profile, if known>
  • Date: N/A (Wiki keeps history)
  • Version: N/A (Wiki keeps history)
  • Domain: <Domain name Radiology

2. The Problem

Healthcare providers have a strong desire to increase throughput and efficiency, both to improve the quality and timeliness of care and to control costs which include:

  • Clinical workflow restructuring and optimization (existing in SOLE)
  • Disaster support and readiness (existing in SOLE)
  • Resource utilization and bottleneck identification (extended)
  • Resource allocation for algorithms and workflows (new)
  • Fault identification and troubleshooting (new)

The SOLE profile currently lacks the capability to address the complexity introduced by AI and distributed, cloud-native applications. This profile extends SOLE to address these gaps.

3. Key Use Case

A study is acquired. An Orchestrator/Task Manager invokes one or more applications. I need to:

  • Right-size the resources for an AI Application
  • Allocate the resources to optimize the algorithm performance
  • Decide how much CPU, accelerator capacity, memory, bandwidth, and storage are needed
  • Determine the current uptime, response latency, request volume, and algorithm utilization
  • Troubleshoot a problem
  • Assess model licensing

'Should I pay for a machine running 24 hours or on-demand running?'

4. Standards and Systems

SOLE, Standardize Operational Logging of Events


W3C Trace Context

www.w3.org/TR/trace-context-1 (V1, status: recommendation)
w3c.github.io/trace-context (v2, status: draft)

5. Discussion

  1. This proposal is a result of an ad hoc committee formed within IHE/ACR to address “CP-458 SOLE: Add events to support AIR and AIW-I”.
  2. Detailed proposed changes were initially discussed as part of the IHE Maintenance and to be included in this workitem.
  3. With many proprietary methods available today and W3C developing the common standard, it is appropriate for IHE to converge on a single, industry-wide method that benefits community at large.
  4. This approach will leverage the existing actors/transactions in SOLE with enhancements that address the AI workflow and use cases outlined above.

Risks and Open Issues

  1. What to do about traced transactions using protocols that W3C has not specified (e.g. DICOM DIMSE, HL7 v2)? (out-of-scope?)