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12/3/2013

Smart Big Data’s New Role in
Optimizing Clinical Trial Efficiency

UP 2013
Santa Clara

Proprietary

Robert A. Downing II.

1
Why Utilize Big Data Now?
12/3/2013

1. Unstructured big data is ~80% of all useful information

2. Unstructured big data is growing at >10x rate of structured data

Web 1.0
Google
Yahoo
MS

>$100B Market

Wave 3.0 …..
The Need to Extract Trends &
Meaning from Big Data Chaos
in ‘Real Time’
Web 2.0
Facebook
LinkedIn

Proprietary

Unstructured data growth

[Source: Merrill Lynch]

Twitter

2

2000s
UP 2013, Santa Clara

2010s
© Trendicy Corp

2020s
The Provider-Centric View
12/03/13

Physician
Nursing
staff

Proprietary

Office staff
PORs
Patients

3
UP 2013, Santa Clara
The Patient-Centric View
12/03/13

Patients
PORs

Proprietary

Office staff
Nursing staff
Physicians

4
UP 2013, Santa Clara
The SaaS View
12/03/13

Cloud
Patients

Nursing
staff

PORs

Office staff

Office staff

PORs

Nursing staff

Patients

Physicians

Proprietary

Physician

5
UP 2013, Santa Clara
SaaS Model Benefits
12/03/13

• Accessible
• From any browser, anywhere

• Reliable
• Always up, with built-in fault tolerance

• Robust
• Scalable with demand
• Multi-protocol support (including secure protocols),
with address obfuscation

Proprietary

• Secure

• Low Cost-of-Ownership
• Installation, maintenance, support someone else’s problem
UP 2013, Santa Clara

6
Big Data Obstacles
• SaaS relatively new, & some vendors even newer

12/03/13

• Lack of history
• Lack of selection criteria
• Too many claims by too many participants
• Too few recognized leaders

• Security
Proprietary

• Distrust/Mistrust still exists, largely because of perceived
shortcomings in standards for verification & vague external
accountability

• Legislation
• PPACA
• HIPAA
UP 2013, Santa Clara

7
New Solutions
12/03/13

• History
• Get references from any vendor, & ask for their competitors

• Selection criteria
• Nothing is too insignificant to ask, then demand if necessary

• Security
Proprietary

• Demand the best, & ask for logical or physical isolation if
needed
• Vendor(s) should be able to provide HIPAA compliance

• Follow your gut
• But be realistic
8
UP 2013, Santa Clara
Making the Case [Study]

Proprietary

• Plan the protocol
• Source(s) of data
• Type(s) of data
• Reliability / Veracity
• Gather & ‘map’ the data
• Evaluate additional sources, types of data
• Look for better / more reliable sources
• Plan the cost?

12/03/13

• Plan the Goals, & Path(s) to Get There

• Dynamism Can Affect / Improve Confidence
9
UP 2013, Santa Clara
Traditional Protocol
12/03/13

• Medical Hx
• Questionnaire
• Visits
• Additional questionnaires
• Investigators’ notes
• Verbalization transcription

Proprietary

10
UP 2013, Santa Clara
Expanded Protocol
•
•
•
•
•

Other providers records
Hospitalization records
Licensed practitioner records
Support communities
Other…

• Graphical
• Contextual
• Meaningful

Proprietary

• Information at A Glance

12/03/13

• Sponsor / PI EHR / EMR plus

11
UP 2013, Santa Clara
Contextual Look
12/03/13
Proprietary

12
UP 2013, Santa Clara
Contextual Analysis
13
Proprietary

13
UP 2013, Santa Clara
Intuitive User Interface
12/03/13
Proprietary

14
UP 2013, Santa Clara
Actionable Analytics
12/03/13
Proprietary

15
UP 2013, Santa Clara
Big Data’s New Role
… Driving Clinical Trial Efficiency
12/03/13

• Graphical
• Easy to understand graphics display insight at a glance
• Points in time are data, not answers
• Answers come from measuring change / time

• Contextual
Proprietary

• Questions should be defining the shape of the answers
• Environment should be defining the measures

• Meaningful
• Answers should lead directly to action, without any
intervening step or steps
• Analytics need to be actionable
UP 2013, Santa Clara

16
Thank you….

Proprietary

robert.downing@trendicy.com
T: 510.516.1812
M: 510.468.0066
SkypeID: radowningii
Twitter: TrendicyRob

12/03/13

Robert Downing II
Founder & CEO

www.trendicy.com
17
UP 2013, Santa Clara

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Smart big data's new role in optimizing clinical 4

  • 1. 12/3/2013 Smart Big Data’s New Role in Optimizing Clinical Trial Efficiency UP 2013 Santa Clara Proprietary Robert A. Downing II. 1
  • 2. Why Utilize Big Data Now? 12/3/2013 1. Unstructured big data is ~80% of all useful information 2. Unstructured big data is growing at >10x rate of structured data Web 1.0 Google Yahoo MS >$100B Market Wave 3.0 ….. The Need to Extract Trends & Meaning from Big Data Chaos in ‘Real Time’ Web 2.0 Facebook LinkedIn Proprietary Unstructured data growth [Source: Merrill Lynch] Twitter 2 2000s UP 2013, Santa Clara 2010s © Trendicy Corp 2020s
  • 4. The Patient-Centric View 12/03/13 Patients PORs Proprietary Office staff Nursing staff Physicians 4 UP 2013, Santa Clara
  • 5. The SaaS View 12/03/13 Cloud Patients Nursing staff PORs Office staff Office staff PORs Nursing staff Patients Physicians Proprietary Physician 5 UP 2013, Santa Clara
  • 6. SaaS Model Benefits 12/03/13 • Accessible • From any browser, anywhere • Reliable • Always up, with built-in fault tolerance • Robust • Scalable with demand • Multi-protocol support (including secure protocols), with address obfuscation Proprietary • Secure • Low Cost-of-Ownership • Installation, maintenance, support someone else’s problem UP 2013, Santa Clara 6
  • 7. Big Data Obstacles • SaaS relatively new, & some vendors even newer 12/03/13 • Lack of history • Lack of selection criteria • Too many claims by too many participants • Too few recognized leaders • Security Proprietary • Distrust/Mistrust still exists, largely because of perceived shortcomings in standards for verification & vague external accountability • Legislation • PPACA • HIPAA UP 2013, Santa Clara 7
  • 8. New Solutions 12/03/13 • History • Get references from any vendor, & ask for their competitors • Selection criteria • Nothing is too insignificant to ask, then demand if necessary • Security Proprietary • Demand the best, & ask for logical or physical isolation if needed • Vendor(s) should be able to provide HIPAA compliance • Follow your gut • But be realistic 8 UP 2013, Santa Clara
  • 9. Making the Case [Study] Proprietary • Plan the protocol • Source(s) of data • Type(s) of data • Reliability / Veracity • Gather & ‘map’ the data • Evaluate additional sources, types of data • Look for better / more reliable sources • Plan the cost? 12/03/13 • Plan the Goals, & Path(s) to Get There • Dynamism Can Affect / Improve Confidence 9 UP 2013, Santa Clara
  • 10. Traditional Protocol 12/03/13 • Medical Hx • Questionnaire • Visits • Additional questionnaires • Investigators’ notes • Verbalization transcription Proprietary 10 UP 2013, Santa Clara
  • 11. Expanded Protocol • • • • • Other providers records Hospitalization records Licensed practitioner records Support communities Other… • Graphical • Contextual • Meaningful Proprietary • Information at A Glance 12/03/13 • Sponsor / PI EHR / EMR plus 11 UP 2013, Santa Clara
  • 16. Big Data’s New Role … Driving Clinical Trial Efficiency 12/03/13 • Graphical • Easy to understand graphics display insight at a glance • Points in time are data, not answers • Answers come from measuring change / time • Contextual Proprietary • Questions should be defining the shape of the answers • Environment should be defining the measures • Meaningful • Answers should lead directly to action, without any intervening step or steps • Analytics need to be actionable UP 2013, Santa Clara 16
  • 17. Thank you…. Proprietary robert.downing@trendicy.com T: 510.516.1812 M: 510.468.0066 SkypeID: radowningii Twitter: TrendicyRob 12/03/13 Robert Downing II Founder & CEO www.trendicy.com 17 UP 2013, Santa Clara