Future of RWE - Big Data and Analytics for Pharma 2017 presentation
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The document discusses the challenges and future of real world evidence and data analytics in clinical research, highlighting issues like patient recruitment delays and high costs associated with traditional trial methods. It emphasizes the need for innovative solutions, including real-time data processing and voice-command analytics, to overcome existing obstacles. Saama Technologies, a company specializing in big data analytics and consulting for pharma and life sciences, presents itself as a key player in addressing these industry pain points.
Future of RWE - Big Data and Analytics for Pharma 2017 presentation
- 1. Copyright © 2017, Saama Technologies The Future of Real World Evidence Dr. Dee Amanze Director, Clinical Consulting
- 2. 11 Copyright © 2017, Saama Technologies 1 TOPICS Analytics Advantage Current state of affairs Looking ahead The future is now Part-1 Part-2 Part-3
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- 5. 44 Copyright © 2017, Saama Technologies 4 Copyright © 2017, Saama Technologies Two options: Make the square wheel go faster or accept radical change?
- 6. 55 Copyright © 2017, Saama Technologies 5 Copyright © 2017, Saama Technologies $98B Sales and Marketing Spend $66B R&D Spend $127B 2016 R&D Spend Total Market Spend $148B 2020 R&D Spend5-6% Cost of RCTs Cost Pressures Avg. cost of RCTs +1 day to a trial +1 submission delay $1B $1M $10M 72% Studies are 1 mo. behind 70% Of studies experience patient Enrollment delays 20% Never recruit a single subject 30% Of time spent on patient recruitment $86M PIII Study 9mo. – 2yrs to complete enrollment $10B+/yr. Wasted due to poor site selection (SSD-SSU) Common Industry Pain Points: Increase in study complexity Age old enrollment challenges Timeline overrun Out of control budget 10% product approval 51% post approval success Silos mentality
- 7. 66 Copyright © 2017, Saama Technologies 6 Copyright © 2017, Saama Technologies What does the future hold for Real World Data Analytics?
- 8. 77 Copyright © 2017, Saama Technologies 7 Copyright © 2017, Saama Technologies Data collected at the point of service, processed and available for analysis in real time. Wi-Fi enabled devices Wearable devices Cloud computing
- 9. 88 Copyright © 2017, Saama Technologies 8 Copyright © 2017, Saama Technologies Real World Evidence applied at the point of care. Therapy based on genomics e.g. PD-1 and PDL-1 in NSCLC Most effective therapy based on RWD Discontinuation of therapy with patient- reported adverse experiences RWEBED SIDE RWD
- 10. 99 Copyright © 2017, Saama Technologies 9 Copyright © 2017, Saama Technologies Querying big data by voice command Vast amounts of valuable insights that could be derived from Healthcare data are locked behind bars in several data silos. Many potential beneficiaries are unable to derive Real World Evidence from ‘Big Data’ because of limited or no programming and data mining skills. An interactive Voice Command System that uses natural language to query Real World Patient Data. (brief demo) Raise Real World Big Data Analytics to the power of Voice Command. Set Big Data free for ALL!
- 11. 1010 Copyright © 2017, Saama Technologies 10 Copyright © 2017, Saama Technologies Genomics Internal, M&A, External, Syndicated Wearable Devices High Variety, Volume, & Velocity Data Analysis Organization Ingestion Automated Data Wrangling & Deep Data Science Business Aware Data Analytics Services Oriented Architecture Harmonization Integration Analysis Organized Storage Provisioning Aggregation Modern Technologies Going Forward Configurable Analytic Applications Business Outcomes
- 12. 1111 Copyright © 2017, Saama Technologies 11 Copyright © 2017, Saama Technologies Clinical Data Assets Longitudinal Real World Data Published Literature Social Data OMICs Data Patient Level Data Pipelines Text Analytics Pipelines Foundational Capabilities Workflow Designer Advanced Analytics Data Resolver Business Rules Editor Cohort Builder Business Specific Applications Clinical Development Clinical Development Feasibility Safety Signals Business & Science Driven Actionable Risk Assessment, CRO Oversight Study Monitoring Safety/Efficacy Quantify Study Feasibility, Patient Enrollment, Protocol Design and Site/PI Selection Automated Signal Detection over Global Data Ad-Hoc Analytics (e.g. drug differentiation, biomarker CDx) Outcomes Semantically Organized Information Meta Data Security Governance Glossary Centralizing with Purpose – the Frontier
- 13. 1212 Copyright © 2017, Saama Technologies Unstruc tured Data Unstructured Data Structured Data Syndicated Data Transactional System Social Media Data Streaming Data API Source Data Unstructured Data Operating Systems Windows Linux On - Premise Cloud AWS MS AZURE Google Cloud Hadoop Distributions Amazon EMR Unstructured Data Landing Zone Unstructured Data Connectors API JDBC SDK Unstructured Data Change Data Capture Unstructured Data Data Profiler, Rule Engine Unstructured Data Rules Repo, Workbench Repo Postgresql Unstructured Data Common Data Model Unstructured Data Data Transformation Pig (Hortonworks Stack) Impala (Cloudera & MapR Stack) Unstructured Data Aggregated Entities Impala (Cloudera & MapR Stack) (Hortonworks Stack) Unstructured Data Search (Default) Unstructured Data Web Service RESTful Unstructured Data Security Authentication LDAP Kerberos SAML Authorization RBAC ACL(Service Level, Directory Level, Column Level) Encryption SSL Transparent Encryption Encryption Zones AES 256 Unstructured Data Data Governance (Hortonworks Stack) (Cloudera Stack) Technology Reference Architecture
- 14. 1313 Copyright © 2017, Saama Technologies 13 Copyright © 2017, Saama Technologies Ingest & Rules Apply Standardize (CODM) Apply Metrics Analytic Ready Data Clinical Operations KPI/Metrics Pipeline Ingest & Rules Apply Standardize SDTM Convert to ADaM Analytic Ready Data Clinical Sciences Patient Analytics Pipeline CTMS Project Manage CRO EDC Labs Biomarker Clinical Development Analytics Data Management – Data Pipelines
- 15. 1414 Copyright © 2017, Saama TechnologiesCopyright © 2017, Saama Technologies 14
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- 18. 1717 Copyright © 2017, Saama Technologies 17 Copyright © 2017, Saama Technologies Who is Saama? Based in Silicon Valley, California with a global foot print, serving Pharma and Life Sciences clients for 20 years. Our specialties include Technology-based solutions, Big Data Analytics Platforms, Consulting Services and Partnerships. Proud sponsor of the Data and Analytics for Pharma Summit. Visit us at Booth #8 for a friendly chat.