Evren Eryurek Software Chief Technology Officer, GE Healthcare

1. Medical Design & Manufacturing Executive Summit 2014
Evren Eryurek
Software Chief Technology Officer, GE Healthcare
February 11, 2014
© General Electric Company, 2013. All Rights Reserved.

3. © General Electric Company, 2013. All Rights Reserved.

4. Now we get
Air Speed Calibrated
Altitude
Carrier Name
Core Compartment Cooling Valve Position
Core Speed
Date GE Received
Departure Station
Destination Station
EGT Exhaust Gas Temperature
EGT1
EGT2
EGT3
EGT4
EGT5
EGT6
EGT7
EGT8
Engine Serial Number
FMV Position
FMV Position Demand
Fuel Filter Delta Pressure
Fuel Flow
Ground Speed
Mach Number
Message Type
N1 Fan Speed without modifier
N1 Indicated Fan Speed
N1 Maximum Fan Speed
N1 Modifier
Oil Filter Delta Pressure
Oil Pressure
PS3 Compressor Discharge Pressure
T25 Compressor Inlet Temperature
T3 Compressor Discharge Temperature
Time GE Received
Total Air Temperature Aircraft
AVSV Position
Aircraft ID
Aircraft Pitch Angle
Aircraft Roll Angle
Control System Status Word 1
Control System Status Word 2
DMS Cumulative Chip Count
DMS Per Flight Chip Count
EMU Status Word 1
ENGINE_RATING
Engine Bump
Engine Position
FADEC AS Software Version Id
FADEC Hardware P/N
FSV Demand
FSV Main Demand
FSV Position
Fuel Boost Strainer Delta Pressure
Fuel Density Center Tank
Fuel Flow Demand
Fuel Manifold Pressure
Fuel Manifold Temperature
HPTACC Demand
HPTACC Position
LPTACC Demand
LPTACC Position
MSV Demand
MSV Position
Minor Airframe Model Word
Oil Quantity Aircraft
Oil Supply Temperature
P0 Ambient Pressure
PS25 Compressor Inlet Pressure
PT2 Inlet Total Pressure
Report Code
T12 Inlet temperature
Temperature Static Air
APU Bleed Isolation Valve Close Switch
APU Bleed Isolation TBV Position
TCORE Nacelle Temperature
TOIL Oil Scavenge Temperature
Throttle Resolver Angle
VBV Demand
VSV Demand
Vib Broadband #1 Bearing - Engr Units
Vib Broadband TF - Engr Units
Vibration N1 #1 Bearing - Engr Units
Vibration N1 Turbine Frame - Engr Units
Vibration N2 #1 Bearing - Engr Units
Vibration N2 Turbine Frame - Engr Units
A/I valve position Wing
Valve Open Switch
AVM BB vibration Cockpit units
AVM Fan vibration Cockpit units
AVM High Wins Select Vibration - SS
AVM LPT vibration Cockpit units
AVM N2 vibrations Cockpit units
Air Speed Calibrated - SS
Altitude - SS
Bleed Flow rate
Control System Status Word 4
Control System Status Word 6
Copy Number
Core Speed - SS
EAI Switch Position - SS
EAI Switch Position Open/Closed
ECS Pack 1 Flow
ECS Pack 1 High/Low
ECS Pack 2 Flow
ECS Pack 2 High/Low
ECS Pack 3 Flow
ECS Pack 3 High/Low
© General Electric Company, 2013. All Rights Reserved.

5. OT is virtualized
Analytics become predictive
Machines are self healing & automated
Monitoring and maintenance is
mobilized
Employees increase productivity
Entertainment is Digitized
Social Marketing Emerged
Communications
Mobilized
IT Architecture Virtualized
Retail & Ad Transformed
2. Rise of the Machines
WHAT HAPPENED WHEN
1B PEOPLE
BECAME CONNECTED?
WHAT HAPPENS WHEN
50B Machines
BECOME CONNECTED?
CONSUMER INTERNET INDUSTRIAL INTERNET
© General Electric Company, 2013. All Rights Reserved.

6. 3. Real-Time Analytics
© General Electric Company, 2013. All Rights Reserved.

7. 4. Changing Architecture
Distributed
Compute &
Analytics
Cloud for
Efficiency
& Agility
Mobile:
Anytime,
Anywhere
Access
Predictive
Insights from
Big Data
Transition
to Brilliant
Machines
Consistent &
Meaningful
Experience
Industrial Software
Application Requirements
End-to-End
Security
© General Electric Company, 2013. All Rights Reserved.

8. The Power of 1…
Increasing
Freight Utilization
Rail
Predictive
Maintenance
Healthcare
Predictive
Diagnostics
Power
$27B industry value
by reducing system
inefficiency
$63B industry value
by reducing process
inefficiency
$66B industry value
with efficiency
improvements in gas-fired
power plant fleets
Outcomes
that matter
Power of 1

9. Limits re-use
• Wasted resources
• No cross-pollination among
developers and SMEs
• Varying look and feel
• Solution overlap
Takes too long
• Multiplier effect:
30-50% of time spent on
repetitive tasks
• Difficult to add new features,
upgrades
• Slow time to
market = missed opportunity
Costs too much
• Repetitive tasks and lack of
reuse increases CAPEX and
OPEX
• No economies of scale
• Opportunity cost
Increases risk
• Many additional sources of
error
• Higher security risk
• Greater risk of cost and time
overruns
• Poor decision support
Challenges of Fragmented Development
© General Electric Company, 2013. All Rights Reserved.

10. Software & Analytics at GE

11. Page 11
GE Predix™ Software Platform
GE
Aviation
GE Energy
Management
GE
Healthcare
GE
Oil & Gas
GE Power &
Water
GE
Transportation
Operation
s
optimizati
on
Asset
optimizati
on
Operation
s
optimizati
on
Asset
optimizati
on
Operation
s
optimizati
on
Asset
optimizati
on
Operation
s
optimizati
on
Asset
optimizati
on
Operation
s
optimizati
on
Asset
optimizati
on
Operation
s
optimizati
on
Asset
optimizati
on
Platfor
m1
Platfor
m2
…
Platfor
ma
Platfor
mb
…
Platfor
mi
Platfor
mii
…
Platfor
mx
Platfor
my
…
Platfor
mA
Platfor
mB
…
Platfor
m.
Platfor
m..
…
Predix
GE Industrial Internet Capabilities
PredictivityTM Solutions
Operations optimizationAsset optimization

12. Big Data & Analytics @ Healthcare
© General Electric Company, 2013. All Rights Reserved.

13. GE Healthcare
Global business unit of
GE$18B
Number of employees
worldwide53,000
Core Strengths in bio-sciences,
diagnostics technologies, operations
$1B+ Annual investment in
R&D

14. 14
GE Title or job number
2/7/2014
Clinical Quality Reporting
Use Cases
 Thousands of physicians benchmarking millions of
patients in a secure database.
 Providing clinical insight in a proactive manner.
 Analytics lead physician directly to action.
High Value Questions:
- Chief Medical Officer: How are my clinicians performing
vs. hospitals like mine?
- Clinician: How am I performing for my patients?
- Clinician: Which patients need help now?

15. 15
GE Title or job number
2/7/2014
Single Cell Analysis for Cancer Diagnosis
Goal: Develop timely tests using biomarker
analytics to diagnose cancer cells.
Output: Automated per cell quantitative
biomarker to correlate and classify tumor type
and outcomes.
Scale: We will analyze 10,000 cells per slide,
and each cohort will be 500 slides. Per cohort,
this means about ~5TB of raw images and
~50GB of structured data.
High value questions:
Does this sample contain a diagnosis of cancer?
What are the types of tumors we can see?
How does the type of tumor and associated
cells impact outcomes?
Nuclei Cytoplasm Membrane
Segmented
ERK Her4 p4EBP1

16. Trisomy Risk Calculation
Platform: a recipe for speed
 Updated ultrasound algorithm
 Created new analytics UI
 Deployed app to cloud
 Sent new data to cloud
 Delivered solution….
….in one week .

17. 17
GE Title or job number
2/7/2014
Frictionless Patient Experience…
….for a single hospital …for an entire region
Which hospital can treat this patient?
Which clinic is the patient in?
Are we having an epidemic?
Dynamic patient placement …
Which ward should treat this patient?
How long have my patients been waiting?
Exactly when will a patient be discharged?

18. 18
GE Title or job number
2/7/2014
Collaboration for Radiologists in the Cloud
High Value Questions:
Which Radiologist can help me read this
image right now?
Do I have a business agreement with this
radiologist?
How long do I want this image in the cloud
before it expires?
 Cloud-based clinical collaboration services
& medical imaging applications
 Zero footprint image viewing
 Collaboration among radiologists for patient
care

19. 19
GE Title or job number
2/7/2014
Common Concerns about Cloud…
Will data go outside my geographic region?
Where is my data?
Failures and unavailability
of access to data
How can I ensure my data is secure?
Chain involving multiple
processors and subcontractors
Can I permanently delete my data?
Will my data be kept separate from
other data?
Who has access to my data?

20. Thank You
© General Electric Company, 2013. All Rights Reserved.