The document discusses how artificial intelligence and digital technologies can transform healthcare outcomes. It describes GE Healthcare's digital ecosystem and cloud-based solutions that use analytics and machine learning to improve therapy innovation, healthcare access, and integrated care. Examples include using digital twins and command centers to optimize operations and patient flows, and applying artificial intelligence to radiology workflows and other clinical areas to enhance productivity, decision making, and patient experiences.

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From BI to AI
the role of Digital & data analytics in the
upcoming health transformation in Europe
Athens, July 5th 2017

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The Future of Health Care is Here

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Can digital solutions transform healthcare outcomes?
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Therapy Innovation Solutions
that industrialize systems,
create capacity and drive
productivity
• Bioprocessing
• FlexFactory / KUBio
• Cell Therapies
Healthcare Access Solutions
that close gaps in care and
improve healthcare value
• Turnkey Facilities
• Chronic Disease Mgmt.
• Patient engagement
Integrated Care Provider
Solutions that enable
system-level care
orchestration to optimize
patient outcomes and cost of
care
• Care Area Solutions
• Advanced Visualization
• Asset Performance Mgmt
• Command Center
• Value-Based Care
GE Health
Cloud

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70%  in
delays xfer out
of OR
30%  in unplanned
downtime
29%  ER visits
28%  hospitalization
Best-in-class
technology
GE Health
Cloud
Analytics and
Intelligence
Layer
Outcome
Based Digital
Solutions
GEHC Digital Business
Strategy Discussion | 5
GE Healthcare digital ecosystem
Expand adoption and data
rights, cement leadership
Maintain “new normal” on
tech leadership
Continue to build out GE
and non-GE apps
Scale up solutions that
transform cust. outcomes
• Predix
• Azure
Asset Perf.
Management
iCenter
Imaging
Analytics
Dose
Excellence
Wall of
Analytics
Hospital
Digital Twin
• AWS
Boston
Childrens
Mass.
Partners
Dose Watch
30% up MRI
throughput

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Simulating Health Care
The Digital Twin

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The notion of digital twin
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Intelligent Assets
Healthcare services
Patient

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The twin journey
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✓ Predictive modelling
✓ Failure & downtime prediction/
avoidance
✓ Continuous learning &
optimization
✓ Process analysis/ gap & bottleneck
detection
✓ Benchmarking
✓ Status vs. guideline
✓ Tele ICU/ Tele RAD
✓ Protocol adherence
✓ Therapy control
AI
BI
✓ Real time representation
✓ Service engineer or SW can
assess problem
✓ Simulation impact of change
✓ Predictive scheduling
✓ Patient flow simulation
✓ Reimbursement optimization
✓ Treatment simulation
✓ Medication impact
✓ Surgery anticipation
+

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An application of the digital twin to radiology
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Information
Systems
Post Treatment
Collaboration tools
Asset mgmt
Digital protocol
management

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Value Proposition | Brilliant Radiology … Machine data analytics to optimize practice
Dose management
Data, analytics, clinical insights a
nd quality metrics to
better manage radiation, contrast
and tracer dose
Change management
MR Excellence and Dose Excellence
analytics, insights, and education to drive
change and realize clinical outcomes
Protocol management
Cloud based application facilitating
active exam protocol management
across devices and facilities
Imaging utilization
Analytics providing full fleet multi-
vendor, multi-modality practice
summary
ACHIEVE CLINICAL
EXCELLENCE
INCREASE PATIENT
SATISFACTION
DRIVE
STRATEGIC
GROWTH
$
IMPROVE
CAPITAL PLANNING
IMPROVE
OPERATIONAL
EFFICIENCY

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Value Proposition | Command centers & AI
18 May 2017 Press Release
GE to partner with with Massachusetts General Hospital and Brigham &
Women’s Hospital Center – a 10-year commitment to integrate AI into
every aspect of the patient journey
Example #2 … AI (Artificial Intelligence) in HealthcareExample #1 … Capacity Command Centre
• Wall of Analytics powered through Cloud/Predix
• Provides live performance dashboards
• Enables near real-time system-wide alignment of resources and
re-routing of demand
• Platform and tools to ensure clinicians and patients can benefit from
potential of AI
• Deep learning application examples
✓ Sort through the worklist, analyze flood of all patient data,
and identifies most critical images for Radiologist
✓ Automate and standardize measurement of tumours
following therapy to determine if treatment is working which
is critical to the patient experience and treatment success

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Artificial Intelligence
Presentation Title 11

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What is the definition of Artificial
Intelligence ?

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Artificial Intelligence
The ability of a machine to mimic or
exceed human intelligence.
Artificial
Intelligence

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Machine Learning
AI technology that gives systems the ability to
learn without being explicitly programmed.
Artificial
Intelligence
Machine
Learning

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Deep Learning…
Advanced techniques used to do machine
learning, based on models of the human brain
Artificial
Intelligence
Machine
Learning
Deep
Learning

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Top Clinical Care Areas by Volume and Revenue
Cardiovascular Oncology
7/13/2017
MSK Neuro
Top 6 MSK
By Volume
1. Skeletal (Chest) 34%
2. Skeletal – Lowerext 14%
3. Skeletal –Upperext 12%
4. Pain Abdo/Flank 11%
5. Spine 10%
6. Pelvis/Hip 6%
Top 6 Oncology
By Revenue
1. Prostate 21%
2. Breast 18%
3. Other Cancers* 13%
4. Colorectal 11%
5. Lung 9%
6. Reprod/GU 9%
*Derm/Soft tissue, Upper GI, Haem, ENT
Top 6 MSK
By Revenue
1. Low Back Pain 22%
2. Herniated Disc 21%
3. Skeletal – H&N 18%
4. Joint Pain 12%
5. Trauma 9%
6. Hip Pain 5%
Top 6 Neuro
By Volume
1. Headache 30%
2. Aneurysm 13%
3. Dizziness 12%
4. Pain (H&N, Face) 9%
5. Multiple Sclerosis 9%
6. Ment State Change 6%
Top 6 Neuro
By Revenue
1. Stroke 18%
2. Headache 17%
3. Dizziness/Vertigo 16%
4. BrainNOS/Sympt 15%
5. Spinal Cord 10%
6. Ment State Change 8%
Top 6 Cardiovascular
By Volume
1. CAD/Chest Pain 77%
2. Vasc – Carotid/PVD 11%
3. Hypertension 6%
4. Arrhyth/Abn ECG 2%
5. Valves 1%
6. Cardiomyopathy 1%
Top 6 Cardiovascular
By Revenue
1. CAD/Chest Pain 62%
2. Arrhyth/Abn ECG 22%
3. Aortic Disease 8%
4. Vasc – Carotid 8%
5. Hypertension 2%
6. Cardiomyopathy 1%
Top 6 Oncology
By Volume
1. **Breast 65%
2. Staging/Mets 8%
3. Brain 4%
4. Other Cancers 4%
5. Lung 4%
6. Colorectal 3%
= +ve CAGR = double digit +ve CAGR
**94% of all Breast Onc imaging is Mammo

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GEHC Imaging AI Value Proposition
GE Healthcare aims to deliver a portfolio of deep learning algorithms that enable the
realization of 3 key outcomes considered of value to customers:
1. Improve productivity for the Radiologist/Technologist/Sonographer/Referring
Clinician workflow
2. Lower the risk of ‘negative’ clinical consequences associated with delays in
radiologist read & report
3. Empower care team to easily view radiology work product, accelerate clinical
decision making and streamline workflows resulting in improved patient
experience and patient outcomes
Note: Claim – Diagnostic Aid for first generation of applications

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Digital Journey from BI to AI
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✓ Predictive modelling
✓ Failure & downtime prediction/
avoidance
✓ Continuous learning &
optimization
✓ Process analysis/ gap & bottleneck
detection
✓ Benchmarking
✓ Status vs. guideline
✓ Tele ICU/ Tele RAD
✓ Protocol adherence
✓ Therapy control
AI
BI
✓ Real time representation
✓ Service engineer or SW can
assess problem
✓ Simulation impact of change
✓ Predictive scheduling
✓ Patient flow simulation
✓ Reimbursement optimization
✓ Treatment simulation
✓ Medication impact
✓ Surgery anticipation
+

19. Confidential. Not to be copied, distributed, or reproduced without prior approval.
What if you could steer this from one central place?
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