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Clinical Data Analytics –
A Solutions approach in the Cloud
February, 2018
2. 2
Copyright © 2018, Saama Technologies
Karim Damji
SVP – Saama (Head of Clinical
Analytic Products)
Amit Gulwadi
Executive Director – Celgene (Clinical
Trial Planning and Analytics)
3. 3
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Agenda
Business Problem
1
Solution
2
Solution Capabilities
3
Business Benefits
4
Partnership
5
4. 4
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We had a Problem
We were GROWING, so was our DATA.
We were running into a huge problem “SCALABILITY”
We started off with a local problem
We soon realized we had a global problem
Each geography had built their own local set of clinical operational processes, CTMS systems,
Data Definitions and Metrics ..data collection procedures and data management standards
Multiple different systems
5. 5
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1 Week
10 days
2 days
Resulting in Inconsistencies and Trust
How are MM
studies doing?
Great
Not so Great
Let me get
back to you
6. 6
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My State: Preparing for Global ELT meeting
CTMS saying
something else
CRO’s saying
something else
I ran the reports
myself
A completely new
answer
What do I report back ?
We Need CHANGE
7. 7
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We had to CHANGE
Medidata CTMS, RaveX
(Done Globally)
Business
Processes
Business
Processes
Business
Processes
8. 8
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Data had to be CENTRALIZED
Big Data Clinical Analytics Solution
in AWS – by Saama (VeRA)
VeRA means TRUTHTRUTH has TRUSTTRUTH has SPEEDTRUTH had
SCALABILITY
Consistent
Clinical Ops
Data
Clinical Ops
Data
Clinical Ops
Data
9. 9
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Data from all CRO’s had to be standardized & centralized too
Big Data Clinical Analytics Solution
in AWS – by Saama (VeRA)
Consistent
CRO 1
CRO 2
CRO 3
10. 10
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User Personas
Study Manager
What is the screen failure rate for CK
–XXX-YZ ?
Global Clinical Operations Head
Across therapeutic areas how many studies are at risk ?
Franchise Head
Are we above budget for Multiple
Myeloma studies
11. 11
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User Experience at Portfolio, Study, Countries had to be Standardized
12. 12
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User Experience at Portfolio, Region, Country, Study had to be Standardized
13. 13
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Today
Everyone has a standardized, consistent view of their
portfolio, region, country and studies
Teams start their day within VeRA, insights are INSTANT
Study Managers start
their day in VeRA
ELT has the same view
as Regional heads
Metrics are standardized
across all regions, studies
14. 14
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Nuts ‘n Bolts
A scalable engine to collect, standardize and
transform Clinical data
16. 16
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Workflows had to be Centralized, Simplified and Self Service
18. 18
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The Future
Speak to Me (Smart) and Tell us the Future (Deep Learning)
19. 19
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2011 – CNN, TechCrunch interview with Mary Meeker:
She believes that voice input is the “new QWERTY”
UX CX
A way forward with your analytics
22. 22
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Before - After
Before
Access
Source
Efficiency
Trust
Action Intuition, Limited to
Study Managers
2 Weeks to Insights
Multiple Disparate Sets of Data
and Reports
Study Managers have Access to
Study Data using Spreadsheets
Rely on CRO’s for Study Insights
After
Consistent Fact-based
Significant Reduction in Time to
Convert Data into Insights (Daily
Now)
Single Source of Truth
Accessible to Executive
Leadership
Entire Organization has Access
to Study Performance Metrics
Self Service Exploratory Access
to Study Performance Insights
24. 24
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The Partnership between Business Acumen and Insights
Business Problem
Data
Visions
Business Solution
Novel Data Management
Consistent Business Insights
25. 25
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Visit us in booth 316 and join us tonight
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