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Cloud Storage and Medical
Image Management
RESPONDING TO THE INCREASING FILESIZES OF ADVANCED
IMAGING TECHNOLOGIES
Speaker Bio
20+ years healthcare IT
Software development, network design, management, storage network design
Computerworld Honors Laureate for Visionary Use of Information Technology
in Medicine - 2002
Network World Enterprise All-Star Award for use of free space optics - 2005
Computerworld Best Practices in Storage - Finalist, Data Lifecycle Management
– 2006
ITIL Foundation Certified
ARA Diagnostic Imaging
17 outpatient imaging centers
20+ area hospitals
90+ radiologists
 1.3 million exams read or performed annually
900,000 exams digitally stored annually
ARA – Department of Information Technology
Chief Information
Officer
Director, Service
Delivery
Manager, Service
Delivery
Service Delivery Group
Server/Network
Administration
Director, Imaging
Informatics
Application Managers
Software Engineering
Manager
Development Group
Security Administrator
ICT Group
Administrative
Assistant
ARA Image Management Through The Years
2001
ARA – Department of Information Technology
• 6 TB usable
• Growth rate was 3 TB annually
ARA Image Management Through The Years
2003
ARA – Department of Information Technology
• 24 TB usable
• Secondary datacenter for replication
ARA Image Management Through The Years
2004 – content addressable storage
ARA – Department of Information Technology
• 2006: 58 TB of usable space
ARA Image Management Through The Years
2010– clustered storage
ARA – Department of Information Technology
• 2011: 235 TB of usable space
ARA – Department of Information Technology
Image Management Today
As Image Quality Goes Up, So Do Filesizes
16 slice CT: 18MB
64 slice CT: 23MB
1.5T MRI: 29MB
3T MRI: 71MB
US: cine loops, color flow
Digital Mammography By The Numbers
Average file size for a standard mammography image: 19MB
Average file size for a 3D tomography image: 392MB
Average ingest rate: 25G/day
6.60
13.40
27.20
55.21
112.08
227.52
461.87
937.60
1,903.32
3,863.74
7,843.40
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
2014 2016 2018 2020 2022 2024 2026
TERABYTESCONSUMED
EXAM YEAR
Projected Storage Consumption of Digital
Mammography: 2D, 3D
Sum
The Challenge
Migration Migration
Image Management At Scale
Image retention requirements
Increasing file sizes
Hardware refreshes
Maintenance costs
Data migrations
10 months to migrate 150Tb off CAS
Alternatives to the “Classic” Storage Arrays
Managed vendor neutral archive (VNA)
Software-defined storage
Storage-as-a-service/cloud
Managed VNA
Hardware, software, off-site replication
Possible to have no capital outlay
Dell, Deepwell
Software-defined Storage
Your hardware, their software
Multi-protocol support
SAN + NAS = Unified
Act as basis for scale-out storage architectures
Atlantis, SwiftStack, Elastifile, Datacore
Cloud Storage
Attractive
Let someone else worry about capacity planning
True pay-as-you-grow
Considerations
Data protection
Privacy laws
Compliance with Health Insurance Portability and Accountability Act of 1996
Pricing models
Performance
“The future for PACS is in the cloud,” - Steven Tolle, chief product officer for Merge
Healthcare, at the 2013 annual meeting of the Radiological Society of North
America (RSNA).
Nasuni – Storage-as-a-Service
Onsite cache married with cloud storage
 Your hardware appliance or theirs.
Encryption in flight, encryption on disk
Business-associate under HIPAA
Simplified pricing: one vendor, one price, one check.
Performance Testing
Old-school: stopwatch
Time to first image <= 3 seconds
3 trials for each study, per modality, using different settings
 Over 3,000 time trials
Compared to baseline established by incumbent
Performance Findings - On premise
Time to first image from the cache – on average – performed 21% faster.
For a complete study coming from the cache – on average – 7% faster than the
incumbent.
Performance Findings – Cloud Retrieval
80MB Internet link
No bandwidth restrictions
Time to first image from the cloud – on average – was 49% slower than the
3-second baseline
A complete study from the cloud downloaded 8.5% slower than local
storage
Nasuni Today
Upon implementation, all new mammography studies were written directly to
Nasuni.
Have migrated 98% of all historical mammography studies (2d,3d) to the cloud
Performance has not been a concern due to the radiologists’ workflow for
mammography images
We’re Not Done Yet
Deployment of a VNA bring some compelling image lifecycle tools to the
environment
 Multi-protocol support and storage-agnostic
Reduces the need for high-speed links to cloud
DATACENTER 2
Imaging Storage Architecture v4.1
1
2
1. Images ingested into VNA
2. VNA writes two concurrent copies
3. Nasuni writes images to out to the
cloud
3
Cost Considerations
1. Primary array acquisition and maintenance
2. StAAS appliance
3. Cloud costs
4. Telecom
5. Port speed connection charge for a direct connection
6. VNA acquisition and maintenance
In Summary
Filesizes are continuing to increase as modalities provide higher resolutions.
Storage-as-a-service is a viable model for long-term study retention.
 Hybrid deployments even more so
Choose your cloud partner carefully.
Ensure compliance with HIPAA/HITECH/Omnibus from your partner vendor
THANK YOU
R Todd Thomas
Chief Information Officer
Austin Radiological Association
Email: thomast@ausrad.com
LinkedIn: www.LinkedIn.com/in/rtoddthomas
www.ausrad.com

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Health IT Summit DC 2015 - Cloud Storage and Medical Image Management: Responding to the filesize increases of advanced imaging technologies

  • 1. Cloud Storage and Medical Image Management RESPONDING TO THE INCREASING FILESIZES OF ADVANCED IMAGING TECHNOLOGIES
  • 2. Speaker Bio 20+ years healthcare IT Software development, network design, management, storage network design Computerworld Honors Laureate for Visionary Use of Information Technology in Medicine - 2002 Network World Enterprise All-Star Award for use of free space optics - 2005 Computerworld Best Practices in Storage - Finalist, Data Lifecycle Management – 2006 ITIL Foundation Certified
  • 3. ARA Diagnostic Imaging 17 outpatient imaging centers 20+ area hospitals 90+ radiologists  1.3 million exams read or performed annually 900,000 exams digitally stored annually
  • 4. ARA – Department of Information Technology Chief Information Officer Director, Service Delivery Manager, Service Delivery Service Delivery Group Server/Network Administration Director, Imaging Informatics Application Managers Software Engineering Manager Development Group Security Administrator ICT Group Administrative Assistant
  • 5. ARA Image Management Through The Years 2001 ARA – Department of Information Technology • 6 TB usable • Growth rate was 3 TB annually
  • 6. ARA Image Management Through The Years 2003 ARA – Department of Information Technology • 24 TB usable • Secondary datacenter for replication
  • 7. ARA Image Management Through The Years 2004 – content addressable storage ARA – Department of Information Technology • 2006: 58 TB of usable space
  • 8. ARA Image Management Through The Years 2010– clustered storage ARA – Department of Information Technology • 2011: 235 TB of usable space
  • 9. ARA – Department of Information Technology Image Management Today
  • 10. As Image Quality Goes Up, So Do Filesizes 16 slice CT: 18MB 64 slice CT: 23MB 1.5T MRI: 29MB 3T MRI: 71MB US: cine loops, color flow
  • 11. Digital Mammography By The Numbers Average file size for a standard mammography image: 19MB Average file size for a 3D tomography image: 392MB Average ingest rate: 25G/day
  • 12. 6.60 13.40 27.20 55.21 112.08 227.52 461.87 937.60 1,903.32 3,863.74 7,843.40 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 2014 2016 2018 2020 2022 2024 2026 TERABYTESCONSUMED EXAM YEAR Projected Storage Consumption of Digital Mammography: 2D, 3D Sum The Challenge Migration Migration
  • 13. Image Management At Scale Image retention requirements Increasing file sizes Hardware refreshes Maintenance costs Data migrations 10 months to migrate 150Tb off CAS
  • 14. Alternatives to the “Classic” Storage Arrays Managed vendor neutral archive (VNA) Software-defined storage Storage-as-a-service/cloud
  • 15. Managed VNA Hardware, software, off-site replication Possible to have no capital outlay Dell, Deepwell
  • 16. Software-defined Storage Your hardware, their software Multi-protocol support SAN + NAS = Unified Act as basis for scale-out storage architectures Atlantis, SwiftStack, Elastifile, Datacore
  • 17. Cloud Storage Attractive Let someone else worry about capacity planning True pay-as-you-grow Considerations Data protection Privacy laws Compliance with Health Insurance Portability and Accountability Act of 1996 Pricing models Performance “The future for PACS is in the cloud,” - Steven Tolle, chief product officer for Merge Healthcare, at the 2013 annual meeting of the Radiological Society of North America (RSNA).
  • 18. Nasuni – Storage-as-a-Service Onsite cache married with cloud storage  Your hardware appliance or theirs. Encryption in flight, encryption on disk Business-associate under HIPAA Simplified pricing: one vendor, one price, one check.
  • 19. Performance Testing Old-school: stopwatch Time to first image <= 3 seconds 3 trials for each study, per modality, using different settings  Over 3,000 time trials Compared to baseline established by incumbent
  • 20. Performance Findings - On premise Time to first image from the cache – on average – performed 21% faster. For a complete study coming from the cache – on average – 7% faster than the incumbent.
  • 21. Performance Findings – Cloud Retrieval 80MB Internet link No bandwidth restrictions Time to first image from the cloud – on average – was 49% slower than the 3-second baseline A complete study from the cloud downloaded 8.5% slower than local storage
  • 22. Nasuni Today Upon implementation, all new mammography studies were written directly to Nasuni. Have migrated 98% of all historical mammography studies (2d,3d) to the cloud Performance has not been a concern due to the radiologists’ workflow for mammography images
  • 23. We’re Not Done Yet Deployment of a VNA bring some compelling image lifecycle tools to the environment  Multi-protocol support and storage-agnostic Reduces the need for high-speed links to cloud
  • 24. DATACENTER 2 Imaging Storage Architecture v4.1 1 2 1. Images ingested into VNA 2. VNA writes two concurrent copies 3. Nasuni writes images to out to the cloud 3
  • 25. Cost Considerations 1. Primary array acquisition and maintenance 2. StAAS appliance 3. Cloud costs 4. Telecom 5. Port speed connection charge for a direct connection 6. VNA acquisition and maintenance
  • 26. In Summary Filesizes are continuing to increase as modalities provide higher resolutions. Storage-as-a-service is a viable model for long-term study retention.  Hybrid deployments even more so Choose your cloud partner carefully. Ensure compliance with HIPAA/HITECH/Omnibus from your partner vendor
  • 27. THANK YOU R Todd Thomas Chief Information Officer Austin Radiological Association Email: thomast@ausrad.com LinkedIn: www.LinkedIn.com/in/rtoddthomas www.ausrad.com