New Clinical Research & Care Opportunities Through Big Data Informatics Gregory A. Jones Chief Technology Officer Health Sciences Global Business Unit September 2014
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Agenda 1 2 3 4 Why do we need Big Data Informatics? Big Data Informatics Opportunities Big Data Informatics Architecture Big Data Informatics Customer Use Cases & Solution Examples
The Predicted Growth of Devices & Sensors 212B IDC said the installed base of things connected will be 212 billion by the end of 2020, including 30.1 billion connected autonomous things. $8.9T The Internet of things and the technology ecosystem surrounding it are expected to be an $8.9 trillion market in 2020, according to IDC. Business Insider predictions based on analysts views, 2014
Market Overview IoT is expected to create $1.9T in economic value-add across sectors by 2020. Source: Gartner, 2013 M2M connections driven by developed markets expected to reach 450M by 2017. Source: IDC s Worldwide M2M Connection Forecast, 2013
Internet of Things Applications & Data Sources Oracle Sponsored Beecham Research Report: Designing an M2M Platform in a Connected World
Managing Complexity By 2020 50 Billion Devices will Create an Endless Amount of Data The Data, Insights, Actions at the Right Time Oracle Confidential Internal/Restricted/Highly Restricted
Agenda 1 2 3 4 Why do we need Big Data Informatics? Big Data Informatics Opportunities Big Data Informatics Architecture Big Data Informatics Customer Use Cases & Solution Examples
Cross Industry Big Data Opportunities Oracle Customer Usage Patterns across Industries AUTOMOTIVE Auto sensors reporting location, problems COMMUNICATIONS Location-based advertising CONSUMER PACKAGED GOODS Sentiment analysis of what s hot, problems FINANCIAL SERVICES Risk & portfolio analysis New products EDUCATION & RESEARCH Experiment sensor analysis HIGH TECHNOLOGY / INDUSTRIAL MFG. Mfg quality Warranty analysis LIFE SCIENCES Clinical trials Genomics MEDIA/ ENTERTAINMENT Viewers / advertising effectiveness ON-LINE SERVICES / SOCIAL MEDIA People & career matching Web-site optimization HEALTH CARE Patient sensors, monitoring, EHRs Quality of care OIL & GAS Drilling exploration sensor analysis RETAIL Consumer sentiment Optimized marketing TRAVEL & TRANSPORTATION Sensor analysis for optimal traffic flows Customer sentiment UTILITIES Smart Meter analysis for network capacity, LAW ENFORCEMENT & DEFENSE Threat analysis - social media monitoring, photo analysis Oracle Customers Challenged by: Data Volume, Velocity, Variety Seek an Information Analytics Platform that Supports Big Data
Clinical Research Opportunities Creating Value with Data: Reservoir Points of Leverage Business Development R&D CLINICAL TRIALS SAFETY MARKET ACCESS MANUFACTURING Find Unmet Medical Need Target Identification Manage Diverse Partner Data Find All Related Research Accelerate Adaptive Clincial Trials Rapidly Identify and Validate Target Cohort Track and Improve Adherence Leverage Signals in Third-Party Sources Rapidly Discover Larger Context of Care Enter New Markets Defend Pricing Improve Adherence Identify KOLs more precisely Reduce Bad Batches Better Predict Vat failures Root Cause across ALL Supply Chain Big Data Management System
Patient Care Big Data Opportunities Lower care cost and raise care quality 1 2 3 4 Accountable Care Patient Engagement Operational Excellence Personal & Translational Medicine Chronic Disease Mgt. Care Patterns Population Health Pay for Performance Telemedicine Patient Advocacy Customer Satisfaction Disease Mgt. / Prevention Social Media Interactions Care / Process Improvements Marketing / Branding Capacity Management Staffing Optimization Protocol Optimization Process Efficiency Supply Standardization Cost Accounting Personal Preferences Individualized Treatment Biometrics Data Management Apply Research New Clinical Protocols
Agenda 1 2 3 4 Why do we need Big Data Informatics? Big Data Informatics Opportunities Big Data Informatics Architecture Big Data Informatics Customer Use Cases & Solution Examples
Hardware and Software Engineered to Work Together
In-Database Analytics Oracle Information Management & Analytics Platform End to End Solutions Oracle Big Data Appliance Optimized for Hadoop, R, and NoSQL Processing Oracle Big Data Connectors Oracle Exadata System of Record Optimized for DW/OLTP Oracle Exalytics Optimized for Analytics & In-Memory Workloads Cloudera & Hadoop Open Source R Oracle NoSQL Applications Oracle Big Data Connectors Oracle Data Integrator Oracle Advanced Analytics Health Sciences Data Warehouses Oracle Database Oracle Enterprise Performance Management Oracle Health Sciences Applications Oracle Business Intelligence Tools Oracle Endeca Information Discovery Stream Acquire Organize Analyze and Visualize
Agenda 1 2 3 4 Why do we need Big Data Informatics? Big Data Informatics Opportunities Big Data Informatics Architecture Big Data Informatics Customer Use Cases & Solution Examples
National Cancer Institute Big Data Objective Results: 4.5M Cell Matrix in 28 Seconds Discover Relationships at Scale Cross-referenced the relationships between 15,000 genes and five major cancer types across 20 million medical publication abstracts Cross-referenced genes from 60 Million Patients. Understand the network of interactions. gain visibility into state of research or relevance to Cohort Big Data Appliance http://ctovision.com/2012/11/the-winner-of-the-2012-government-big-data-solutions-award-is-the-national-cancer-institute/
University Pittsburgh Medical Center Big Data Objective: Result: Run Analytics on a Large Denominator not a subset Oracle Health Science Translational Research Center Query for Cohort and Extract R Analytics On All Data 100s of Patients Millions of Patients
Create Value with Data Case Study Results National Health Service Mayo Clinic Reduce Fraud Personalized Medicine Oracle Confidential Internal
Leverage Clinical and Genomics Data in One System Find patients that are poor responders for drug Y and have a mutation in the promoter region of Gene X Identify the expression level of TP53 mutants by cancer tissue Quantify the number of disease Z patients responding to treatment with a chromosome 18 deletion and blood samples in the biobank
Additional Big Data Use Cases Mobile sensors and remote monitoring Using mobile sensors and Big Data for home monitoring and next generation clinical trials epills leveraging sensors and Big Data to increase success in late phase clinical trials Using EMR data in the cloud to recruit patients utilising a network of healthcare providers to find the right patients for a clinical trial Precision Medicine leveraging multi-omics profiling to deliver tailored therapeutics to the right patients
Ingestible Monitors and Sensor-based Data Proteus Digital Health solutions for medication adherence and continuous patient monitoring Ingestible Monitor Wearable Sensor Mobile Applications Therapeutic Information Medication Dose Timing Adherence Supply Chain Physiologic Information Heart Rate Respiration Activity Posture Gait Sleep Stress Temperature Mobile Information Sociability Engagement Cognitive Assessment Environment Location Context Subjective Information Side Effect Symptoms QOL Mood Emotion See press release: http://www.oracle.com/us/corporate/press/1941306
Results Formulated To Accelerated Drug Discovery Through Biomarkers Imatinib (Gleevec) Crizotinib (Xalkori) Vemurafenib (Zelboraf) First in class targeted cancer therapeutic Targets the BCR-ABL protein only occurring in Chronic Myelogenous Leukemia (CML) Targets ALK protein, mutated in 7% of lung cancers Targets BRAF V600E mutation, present in 70% of malignant melanomas and a significant percentage of other cancers Now considered standard of care for Myelogenous Leukemia (CML) FDA approved from a trial of only 255 patients with the biomarker FDA approval based on a trial of 132 subjects Indication expanded to Gastrointestinal Stromal Tumors (GIST) with KIT mutations 3 years from biomarker mutation discovery to approval Increases overall response rate from 5% to 48.5%
Unstructured Safety Information in Patient Communities
Social Media Mining for Pharmacovigilance To what people are saying about your products (or competitive products)
Listening to Signals from the Crowd Pharmacovigilance based on Web Search Logs 61% of adults search the Web for health information, and 8 in 10 online health inquiries start at a Web search engine, suggesting that the information in Web search logs can serve as a large scale sensor for public health (e.g., the Google Flu Trends project) Pilots studies are showing that analyzing search queries about drugs and medical conditions can provide early clues about ADRs Signal detection performance for identifying 62 DDI test cases associated with hyperglycemia, based on 1 year of search logs data from google, Bing, and Yahoo, AUC=0.82 Web-scale pharmacovigilance: listening to signals from the crowd, White et al, J Am Med Inform Assoc 2013