Difference between revisions of "Enhanced SOLE for AI"
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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: | 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: | ||
− | * Workflow restructuring/optimization ''(existing in SOLE)'' | + | * Workflow restructuring/optimization ''('''existing''' in SOLE)'' |
− | * Disaster support/readiness ''(existing in SOLE)'' | + | * Disaster support/readiness ''('''existing''' in SOLE)'' |
− | * Performance tracking and bottleneck identification ''(extended)'' | + | * Performance tracking and bottleneck identification ''('''extended''')'' |
− | * Resource allocation for new machines, upgrades ''(new)'' | + | * Resource allocation for new machines, upgrades ''('''new''')'' |
− | * Software/Network Fault isolation/troubleshooting ''(new)'' | + | * Software/Network Fault isolation/troubleshooting ''('''new''')'' |
Revision as of 12:09, 24 June 2022
1. Proposed Workitem: <initial working name for profile/whitepaper/etc>
- 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:
- Workflow restructuring/optimization (existing in SOLE)
- Disaster support/readiness (existing in SOLE)
- Performance tracking and bottleneck identification (extended)
- Resource allocation for new machines, upgrades (new)
- Software/Network Fault isolation/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 know:
- Right-size the resources for an AI Application
- Allocate the resource allocation to optimize the algorithm performance
- How much CPU, what kind of accelerator, memory, bandwidth storage
- What is the uptime, latency, requests/algorithm utilization
- How to troubleshoot a problem
- Licensing deployment model assessment
'Should I pay for a machine running 24 hours or on-demand running?'
4. Standards and Systems
<List existing systems that are/could be involved in the problem/solution.>
<If known, list standards which might be relevant to the solution>
5. Discussion
<Include additional discussion or consider a few details which might be useful for the detailed proposal>
- <Why IHE would be a good venue to solve the problem and what you think IHE should do to solve it.>
- <What might the IHE technical approach be? Existing Actors? New Transactions? Additional Profiles?>
- <What are some of the risks or open issues to be addressed?>
<This is the brief proposal. Try to keep it to 1 or at most 2 pages>
<Delete this Category Templates line since your specific Profile Proposal page is no longer a template.>