Five steps to getting maximum value from Real World Data presented by Dr. Dee Amanze in September 2017 at the Real World Analytics event in Boston.

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Five steps to getting maximum value
from Real World Data
Dr. Dee Amanze
Director, Clinical Consulting

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PAIN POINTS ASSOCIATED WITH REAL WORLD DATA
High cost of data acquisition
Need for elaborate IT support
Specialized skill sets required for the many manual processes involved in ingestion and data wrangling
Rapidly evolving technology
Constant need to update components or migrate to different technology
Disparate data, standards and formats
Data standardization, Data Quality Rules, Business Rules, Common Data Models
Total Cost of Ownership
vs.
Return on Investment
Expected vs actual ROI per $1 in 3-5 years:
Source: Wikibon 2013

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Patient-centric view of
maximum value from
Real World Data
Efficiency in processing analytics-
ready data
Reduced time to insight
Faster time to new drug development
Outcome-based standard of
care
Identify unmet medical needs
RWEBED
SIDE
RWD
EXPECTED VALUES FROM REAL WORLD DATA

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Identify the real need
Drill bits?
A hole?

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Business need / Use Case determines type of data
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• Want to see how my drug and
competitor drugs are utilized in
the treatment of a given disease
2
• Patient recruitment and site
selection for clinical trial
optimization
3
• Which treatment option provides
better patient outcomes for
metastatic NSCLC
• Longitudinal claims data
• EMR/EHR data
• Longitudinal claims data
• Trial / Site Trove; ct.gov
• Genomics data (PD-1, PD-L1)
• EMR / EHR, Lab Results

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Smart Data Infrastructure
* Smart orchestration platform
* Ingestion in (as close to) real time
* Transformation
* Standardization
* Governance
* Data Quality and Other Business rules
* Aggregation
* Security & access control
* Clean analytics-ready data
Identify the real need

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Modern Analytics Platform
* Advanced analytics
• Pre-built solutions
• Custom analytics (with SAS etc)
* User-friendly, ease of use
* Effective visualization
* Configurable and customizable
* Descriptive and Predictive analytics
* Leverage AI, ML, NLP
* Empower average users
Solutions for focused outcomes
Identify the real need

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Querying big data by voice command
Vast amounts of valuable insights that could be derived from Healthcare data are locked
behind bars in several data silos.
Many potential beneficiaries are unable to derive Real World Evidence from ‘Big Data’
because of limited or no programming and data mining skills.
An interactive Voice Command System that uses natural language to query Real World
Patient Data.
(brief demo)
Raise Real World Big Data Analytics to the power of Voice Command. Set Big Data free
for ALL!

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Modern Analytics Platform
Tech-Enabled Solutions
Hybrid Analytics Model
Identify the real need

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Modern Analytics Platform
Tech-Enabled Solutions
Hybrid Analytics Model
Consumption model
Identify the real need
* Rent, Buy or Build?
* ‘On Prem’ or ‘In the Cloud’
* Centralization or Silos
* The Right Partnerships
* Data
* Analytics
* Technology
* Reuse/Recycle Data

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Who is Saama?
Based in Silicon Valley, California with a global foot print, serving Pharma and Life Sciences clients
for 20 years.
Our specialties include Technology-based solutions, Big Data Analytics Platforms, Consulting
Services and Partnerships.
Proud sponsor of the 5th Annual Real World Analytics 2017 Conference.
Visit the Saama booth for a friendly chat. Chance to win Amazon Alexa.