Radiology without Walls:
Building the Practice of the Future
Se s s ion # 94, Augus t 11, 20 21
VP, Product Management - Radiology Worldwide Healthcare and Life Sciences Physician Lead
GE Healthcare Amazon Web Services
Timot hy Ros e Lynds e y Burt on, MD
#HIMSS21 2
Welcome
Worldwide Healthcare and Life Sciences Physician Lead
Amazon Web Services
Lynds e y Burt on, MD
Vice President, Product Management, Radiology GE Healthcare
Timot hy P. Ros e
Agenda
• Current Challenges, Industry Dynamics and Market Trends
• Key Enablers for Creating the Radiology Practice of the Future
• What’s Next for the Radiology
Practice of the Future
Learning Objectives
• Discuss the current challenges and industry dynamics facing radiology organizations
• Recognize essential elements for
creating the radiology practice of the future
• Evaluate the opportunity for cloud based diagnostic radiology and workflow
solutions
• Hypothesize the future of radiology in the
cloud
The following content in this presentation is for illustration and demonstration purposes only.
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representation or warranty or documentation regarding the product or service featured. Illustrations are provided for informational purposes, and your configuration may differ.
General areas represent ongoing product research and development efforts. These research and development efforts are not products and may never become products. Not for sale. Not cleared or approved by the FDA or any regulatory body for commercial availability.
Any descriptions of future functionality reflect current product direction, are for informational purposes only and do not constitute a commitment to provide specific functionality. Timing and availability are subject to change and applicable regulatory approvals.
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©2021 General Electric Company
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Current Challenges
Industry Dynamics
and Market Trends
Productivity challenge:
Evolution of imaging models
Radiology as a silo Connected Radiology Radiology is a network
Spe cia lis t Clinic
READING GROUP
Pa t ie nt s Aca de mic Ima ging
X-hos pit a l s e rvice s
Aca de mic Communit y
Priva t e ima ging Spe cia lis t
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Traditional Data
NUMBERS
5
KB/RECORD
TEXT
500
KB/RECORD
2D IMAGES
1,500
KB/IMAGE
ULTRASOUND
20,000
KB/WAVEFORM
3D IMAGES
35,000
KB/STUDY
VIDEO
5,000,000
KB/MOVIE
HI-RES
202,375,168
KB/GENOME
50 Petabytes of data per hospital
11,2Source: IDC & EMC Study -https://www.cycloneinteractive.com/cyclone/assets/File/digital-universe-healthcare-vertical-report-ar.pdf
3Source: https://icitech.org/wp-content/uploads/2016/01/ICIT-Brief-Hacking-Healthcare-IT-in-2016.pdf
New Data
GROWTH AT
48%
PER YEAR2
of healthcare systems have
81%
been compromised by one or more cyberattacks
within the last year3
CLOUD ENABLED FLEXIBLE HOSTING
Market Trends and Priorities Drive New Requirements
Cloud will Improve access and increases speed of adoption of new technologies Precision Health
Diagnostics Care Pathways Complexity ↑ Demand ↑ vs.
shortage of rads Mergers ↑ and
Regional projects
Market Trends
Enterprise Imaging Directions
Customer Priorities
Modernized Clinician Viewing
AI enabled· platform agnostic server rendering· new advanced tools
Streamlined Architecture
Relevant data aggregation· holistic patient record· one store for all· cloud ready
Enhanced Smart Workflows
Structured reporting· PACS driven· X enterprise· beyond boundaries
Productivity, Efficiency &
Resource allocation Access to patient data
across systems Aiding in Definitive
Differential Diagnosis
10 10
Creating the Radiology
Practice of the
Future
Key Enablers
Intelligent Workflows Native AI Integration Cloud Enabled
#HIMSS21
Why employ AI in Radiology workflows?
• AI can ‘intelligently’ automate manual tasks, freeing time for the radiologist to focus on supporting informed decision-making and personalized care.
• AI can help provide decision support to radiologists – notifying clinician of condition and providing some sort of intelligence to back
that up. Both criticality of read (what exam¹ to read next) as well as information to support a more narrow and
accurate differential diagnosis.
• AI can help detect patterns in image data that are too subtle or complex for humans
to easily see.
JB72396XX 12
¹ Triaging is based on the regulatory approved intended use of the AI algorithm
• Implementing AI tools effectively is complex and difficult - resulting in slowed AI adoption
• Integrating multiple vendors/algorithms is risky and could lead to errors
• Using AI clinical apps is a manual & disjointed process
• Radiologists/organizations need a way to experiment with AI algorithms in their
workflows
• Prefer to acquire AI enablement from a single trusted and known vendor
Challenges in Utilizing AI Applications in Imaging
Sources: Quantitative Market Research, MarketVision Research, PACS AI, VNA AI, and AI
#HIMSS21
Enable AI Adoption
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Integrate
Enable
Grow
Consuming AI Results
Seamless and uniform UX for AI applications
CADSR Or Secondary Capture
Viewer Worklist Support
Exam Prioritization
Diagnostic Hub
Reported Results
#HIMSS21
Why Cloud?
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Cos t Sa vings (TCO)
St a ff Product ivit y
Ope ra t iona l Re s ilie nce
Bus ine s s Agilit y
Typical
Focus Most Compelling
Cloud Benefits
TCO: Total cost of ownership, SLA: Service-level agreement, AZ: Availability Zones, DR: Disaster Recovery
Ways to Work Differently in the Cloud
Containerization, HA and scalability
Security
Enabled as a service
Deployment
Log management and monitoring
Managed services
#HIMSS21 18
Software deployment / application configurations
On premise Installation ~ 24hrs
Single tenant Deployment & config
<8hrs
Multi tenant
Deployment & config
<1hrs
• Trained for HW and SW
• Working and helps remotely (Customer & FE)
• Huge SW Troubleshooting knowledge
• Available regionally, less multiplicity (<100)
Technical Installation Specialist
• Trained, mostly enterprise engineers with HW skills
• May travel onsite, installs HW and SW
• Small SW Troubleshooting knowledge
• Thousands of FEs worldwide
Online Engineer
• Expert cloud knowledge, deployment
• Working remotely
• Fully automated deployment and configuration
Cloud Engineer
As the world moves towards a more virtualized and distributed care delivery model with home
care, remote patient management, and the increased use of AI to
support radiologists and other
clinicians, GE Healthcare and AWS are working to make healthcare
more efficient and personalized.
“
”
#HIMSS21 20
• Over 1 million active customers across 190 countries
• 2,000+ government agencies
• 5,000+ educational institutions
• 25 regions (+7 Planned)
• 81 availability zones with 3+ data centers per zone
• 245 countries and territories served
Delivered securely and reliably across a
global infrastructure
There’s no compression algorithm for experience
Years of experience, on average, for our team leaders
in the healthcare and life sciences industry
15+ 8+
Years with dedicated healthcare and life sciences
cloud technology practice
18+
Years as the world’s most comprehensive and broadly
adopted cloud platform
1,0 0 0 ,0 0 0 + 2,0 0 0 + 5,0 0 0 +
Educational institutions Government agencies
Active customers
#HIMSS21
of customers have used machine learning on AWS
of TensorFlow projects in the cloud run on AWS
85%
of deep learning in the cloud runs on AWS
81%
AWS holds the top spots on Stanford’s deep learning benchmark, DAWN, for
fastest training time, lowest cost, lowest inference
latency
More machine learning happens on AWS than anywhere else
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Purpose-built HIPAA-eligible services Solutions for everyone from expert practitioners to application developers
AI services, fully managed ML services, and support for popular frameworks
Broa de s t a nd de e pe s t s e t of AI a nd ML s e rvice s
Single IDE for the entire ML workflow At least 54% lower TCO
Up to 10 times improvement in productivity
Acce le ra t e your a dopt ion of ML wit h
Sa ge Ma ke r
Built on t he mos t compre he ns ive
cloud pla t form
Highly secure, reliable, fully featured data store
The strongest set of compute, storage, security, database, and analytics
capabilities to build upon
85% of TensorFlow project in the cloud runs on AWS
Why AWS for ma chine le a rning?
#HIMSS21
Security infrastructure built to satisfy healthcare, finance,
and other high- sensitivity organizations Benefit from AWS
industry leading security teams 24/7,
365 days a year Over 50 global
compliance certifications and
accreditations, including HIPAA and
HITRUST
Leverage security enhancements from
1M+ customer experiences
Priva cy, re lia b ilit y a nd s e curit y is a t our core
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Introducing Edison ™ True PACS¹
Edison™ True PACS is a modern PACS solution helping to support intelligent workflow
automation and AI-based decision support for increased productivity and diagnostic accuracy
www. ge he a lt hca re .com/ wit hout wa lls
#HIMSS21
Platform deployment automation
GE Healthcare’s approach with Edison™ True PACS
CloudFormation²/TerraForm:
• Infrastructure as code framework
• Provides repeatable infra & software deployment
• Maintains the platform desired state
• One tool to deploy the platform and software
What CloudFormation/TerraForm builds:
• Networking: Subnet, security groups, load balancers, routes
• Storages: FSx (SMB) and S3
• Active Directory cluster
• EC2 instances, (virtual machines), containers and kickstarts software install and configuration
Stacks:
• Automation templates are called stacks. Stacks contain definitions for the
infrastructure components and can be aggregated together to form the targeted infrastructure
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CloudFormation Framework Environment 1 (common services)
customer 2
Svcs VMs Support VMs VPN VMs Streaming VMs DB Server Archive VMs
Storage (FSx) Directory Services
Network
Console VMs Viewer VMs
Storage (S3) Network
customer 1
Console VMs Viewer VMs
Storage (S3) Network
¹ Edison™ True PACS is a solution which contains Universal Viewer, Enterprise Archive, Centricity Universal Viewer ZeroFootprint, Open AI Orchestrator and 3rdparty AI applications
² Edison™ True PACS cloud solution is only available in USA
Platform
deployment automation
Example: GE Healthcare leverages Amazon Web Services to support automation
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What’s Next for
the Radiology
Practice of the
Future?
Enhancing Advanced Visualization
Supporting a Definitive Differential Diagnosis Aiding in Speed
and Accuracy
#HIMSS21
GE Healthcare’s Vision
Grant rapid access to advanced
visualization applications provided by a horizontally scalable, geographically distributed, multi-tenant, SaaS solution, which is quickly releasable and
represents an attractive reduction in Total Cost-of-Ownership when
compared to an on-premise solution.
¹ Technology in development that represents ongoing research and development efforts. These technologies are not products and may never become products.
Not for sale. Not cleared or approved by the U.S. FDA or any other global regulator for commercial availability.
AWS Region closest to customer
AW Web Access VPC
Availability Zone Availability Zone
X11 applications 1 APP / 1 POD
POD POD POD POD POD POD POD POD POD POD
IF applications 1 APP / n PODs
Edison services 1 APP / N PODs
POD POD POD POD POD POD
AW AW AW AW AW AW AW AW AW AW AW AW
Hybrid approach
(VM & Containers)
• Multi tenant
• EKS based
#HIMSS21 32
Bottom Line:
Cloud Enabled
Radiology Breaks Down Walls
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www. ge he a lt hca re .com/ wit hout wa lls
Questions
#HIMSS21
Thank You
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Vice President, Product Management, Radiology linkedin.com/in/tim-rose-2829878a
Timot hy P. Ros e
Worldwide Healthcare and Life Sciences Physician Lead linkedin.com/in/lyndseyburtonmd
Lynds e y Burt on, MD
