virtualization of r&d driving new health it requirements
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Virtualization of R&D Driving New Health IT Requirements. Vijay Pillai, Director of Translational Medicine & Strategic Planning Presentation for The TRUST Autumn 2011 Conference November 2, 2011. Safe Harbor Statement. - PowerPoint PPT PresentationTRANSCRIPT
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Virtualization of R&D Driving New Health IT Requirements
Vijay Pillai, Director of Translational Medicine & Strategic PlanningPresentation for The TRUST Autumn 2011 ConferenceNovember 2, 2011
The following is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code, or functionality, and should not be relied upon in making purchasing decisions.The development, release, and timing of any features or functionality described for Oracle’s products remains at the sole discretion of Oracle.
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Safe Harbor Statement
Health IT – What comes to mind?
PRIVACY
HIPAA
PERSONALHEALTH
INFO (PHI)
CONSENT
SECURITY
ENCRYPTION
DE-IDENTIFY
DOUBLEBLINDING
ELECTRONICMEDICALRECORD
PERSONALHEALTHRECORD
GOVERNANCE
Does this make you feel more secure?
Electronic Medical Records are here to stay … but lot more to come
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Hospitals
Laboratory
PhysicianOffice
Pharmacy
Insurance
Employers
Epidemiology
Standards
Pharma/Medical Device
A reality today … inside some hospitals A peek into the future
The “Big Data” challenge in healthcare is not very well known
Medical Images –
10s of Terabytes to 1s of Petabytes
Clinical Records –
100s of Gigabytes to1s of Terabytes
Genomic Data –
10s of Petabytes to100s of Petabytes
Security/PrivacyStandards well understood
for structured data
Security/PrivacyStandards maturing
Security/PrivacyStandards evolving
Bringing scale to research – Outsourced, integrating data and workflows
TranslationalResearch
Center
SampleInfo
SampleVolumes
OMICsData
Data &Results
Data &Results
ClinicalData
PATIENTS
SAMPLECOLLECTION
BIOREPOSITORY
LABORATORY
ANALYTICS
PATIENT / DISEASESTRATIFICATION
NEW ADMITS
Best-Fit TreatmentOptions Report
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• Proactive consenting
• Sample data access
• Testing• Data management• Analytics/insights
Academia
Virtualization in R&D driving opportunities for security and cloud infrastructures
Basic Research Discovery & Development
Point of Care
CRO
Source: adapted from DataMonitor
Academia, CRO &
SponsorSponsor Healthcare
CRO
SponsorHealthcare
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The collaboration in the cloud
SOURCE(Healthcare Providers)
ENABLER(Enables Collaboration
between Sponsors and Providers)
CONSUMER(Pharma, MedDev,
CROs, Payers, Govt.)
A collaborative network
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HospitalNetworks
AcademicMedical Center
(AMC)
AMC AMC
Hospital
Branded Networks
Pharma
MedicalDevice
Biotech
Pharma Biotech
Medical Device
Contract ResearchOrganization (CRO)
R&DAPPLICATIONS
Architecture considerations for the cloud
SOURCE ENABLER CONSUMER
Health Sciences Cloud
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HospitalNetworks
AcademicMedical Center
(AMC)
AMC AMC
Hospital
Branded Networks
Pharma
MedicalDevice
Biotech
Pharma Biotech
Medical Device
Contract ResearchOrganization (CRO)
• Data ownership• Access provisioning• Bound by HIPAA• Distributed architecture• De-identification/Double-blinding• “Push” technologies
• Encrypted transport layer• Data Layer (Clinical, Image, OMICs)• Metadata management• 3rd party applications security• Infrastructure to support M-to-M• Data segregation – No co-mingling
• Queries will run on cloud• No detailed row level access• Summary level• Bound by 21CFR Part 11 regulation• Workflow initiates provider alerts
PRIVACY
COLLBORATE
Yin Yang of health sciences
Seemingly contrary forces are interconnected and interdependent
Make it possible by strong security and governance processes
Use of a Common Technology Platform Need for Common Data Model and Transformation Services
CLINCAL
IMAGING
ALL
HO
SP
ITA
LSA
MC
/ LS
OMICS
CLINICAL TRIALS
BIOBANK
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LABORATORY
OPERATIONIONS
HOW ?
Translational Research
Portals
Clinical Research Fundamentals Common Healthcare Data Model and Transformation Services
CLINCAL
IMAGING
ALL
HO
SP
ITA
LSA
MC
/ LS
OMICS
CLINICAL TRIALS
BIOBANK
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LABORATORY
OPERATIONIONS
Data
Integration
OMICs Data Model
Healthcare
Data Model
Statistical Computing Environment
Master Data Management
COHORT ID
APPLICATIONS
BIOMARKER ANALYTICS
PARTNER APPLICATIONS
ETS
TRANSFORMATION SERVICES
TM DIEMPI OTHER
ETS TM DIEMPI OTHER
SE
CU
RIT
Y
RULE ENG
RULES
Clouds enable people, applications, and data to collaborate and develop insights
BioPharmaBioPharma DiagnosticsDiagnostics Medical DevicesMedical Devices
Healthcare Payers
Healthcare Payers
Healthcare ProvidersHealthcare Providers
Government Payers
Government Payers
Regulatory Agencies
Regulatory Agencies
Patients & Families
Patients & Families
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Open, standards based, flexible platforms that connect domain experts, data and applications in a regulatory-compliant framework
– Regular Expression, Semantic Web (RDF)– Naïve Bayes, ABN, SVM, NMF, K-Means, Decision Tree– Statistical capabilities – XML with table like functionality, Xquery/SQL– Consolidate spreadsheets and more; rapid web apps– Multi-Dimensional Cubes, drill-down– Manipulate images, Native support for DICOM– Store documents & access from anywhere/any platform– Virtual private databases– Advanced security– Advanced compression including hybrid columnar
compression– In-memory analytics– Database machines: Exadata
Need a powerful database with all capabilities embedded
Taking algorithms to the data
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D a t a M i n i n g
S t a t i s t i c s
A T G
O L A P
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I m a g e s
A T G
H T M L D B
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O r a c l e F i l e s
X M LX M L
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B i o A n a l y t i c sA T G
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D a t a M i n i n g
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I m a g e s
A T G
H T M L D B
A T G
O r a c l e F i l e s
A T G
O r a c l e F i l e s
Appl. Express
Secure Files
Q&A