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 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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Appl. Express

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