Contenu connexe Similaire à Saama and Pharmacyclics Present at CTI: Clinical Data Analytics – A Solutions approach in the Cloud (20) Saama and Pharmacyclics Present at CTI: Clinical Data Analytics – A Solutions approach in the Cloud1. Copyright © 2018, Saama Technologies
Clinical Data Analytics –
A Solutions approach in the Cloud
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Copyright © 2018, Saama Technologies
Nikhil Gopinath
Sr. Product Manager,
Saama Technologies
Pawan Parihar
Senior Director, Ent Apps & Analytics
Pharmacyclics (An AbbVie Company)
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Agenda
Business Challenge
1
Solution
2
Solution Capabilities
3
Business Benefits
4
Partnership
5
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We had a Challenge
We started off with autonomous data management
within each clinical operations team.
Globally Expanding Clinical Operations
We later realized that with expansion of clinical operations, it became
challenging to get a quick and integrated view of the data from the clinical
operations teams.
The existing functional data silos made it difficult to access and get a
comprehensive view of the operational data.
Multiple different systems
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1 Week
10 days
2 days
Manual and Effort Intensive Data Reporting
How are our
studies doing?
Great
Not so Great
Let me get
back to you
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Data had to be CENTRALIZED and STANDARDIZED
Consistent
Big Data Clinical Analytics Solution
in AWS – by Saama (TMA)
CTMS
Protocol
Deviation Data
(CROs)
Screening &
Enrollment
( IRT
Systems)
Study
Milestones
Clinical
Quality Data
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User Experience at Portfolio, Study, Countries had to be Standardized
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User Experience at Portfolio, Region, Country, Study had to be Standardized
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User Experience at Portfolio, Region, Country, Study had to be Standardized
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Today
Everyone has a standardized, consistent view of their
portfolio, region, country and studies
Teams start their day within TMA, insights are INSTANT
Clinical Operations has
quick access to the
comprehensive view of
the Global Study
Portfolio.
Clinical Trial Manages
have the same view as
Clinical Operations
Executives.
Metrics are standardized
across all regions, studies.
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Nuts ‘n Bolts
A scalable engine to collect, standardize and
transform Clinical Data
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Centralize (and contextualize) Data in Flight
Ingest &
Rules Apply
Standardize
(CODM)
Apply
Metrics
Analytic
Ready Data
Analytic
Ready Data
Covert
ADaM
Standardize
SDTM
Ingest &
Rules Apply
CTMS
Project
Management
CRO
EDC
Labs
Biomarker
KPI/Metrics Pipeline
Subject Analytics Pipeline
Clinical Operations
Clinical Sciences
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Workflows had to be Centralized, Simplified and Self Service
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The Future
Speak to Me (Smart) and Tell us the Future (Deep Learning)
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Before - After
Before
Access
Efficiency
Trust
Action Siloed view of data from
individual data sources
2 Weeks to Insights
Multiple Disparate Sets of Data
and Reports
Study Managers have Access to
Study Data using Spreadsheets
After
Integrated view of data using
Trial Management Analytics
Platform
Significant Reduction in Time to
Convert Data into Insights
(almost instantaneous)
Single Source of Truth
Accessible to Executive
Leadership
Approved users have quick
access to Trial Management
Analytics dashboards
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The Partnership between Business Acumen and Insights
Business Challenge
Data
Visions
Business Solution
Novel Data Management
Consistent Business Insights