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
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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
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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
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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
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10. Traditional Protocol
12/03/13
• Medical Hx
• Questionnaire
• Visits
• Additional questionnaires
• Investigators’ notes
• Verbalization transcription
Proprietary
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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
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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
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