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Healthcare Conference 2013 : Genes, Clouds and Cancer - dr. Andrew Litt
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Healthcare Conference 2013 : Genes, Clouds and Cancer - dr. Andrew Litt

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dr. Andrew Litt : DELL Healthcare and Life Sciences, Chief Medical Officer

dr. Andrew Litt : DELL Healthcare and Life Sciences, Chief Medical Officer

Published in: Health & Medicine, Business

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  • 1. Powering the Possible Genes, Clouds and Cancer
  • 2. Dell Healthcare & Life Sciences by the numbers #1 Worldwide Healthcare IT Services Vendor Gartner 13,000 employees worldwide. Serving >50% of US hospitals that care to 90 million Americans Serving 7 of top 10 pharmaceutical companies Serving 100 insurance organizations with 65 million members Managing over 6 Billion medical images in cloud based archive Support for >500 software, medical device & scientific instrument providers Leading IT provider for 1st, 2nd and 3rd generation gene sequencing Managing 14 billion security events a day Provide OEM services to 70+ Healthcare and Life Sciences software, medical device and scientific instrument providers 2 300+ MDs, RNs and PhDs Sponsor of 1st FDA Approved GenomicsBased Pediatric Cancer Clinical Trial Healthcare
  • 3. Evidence based medicine Target population Therapeutic option 1 A Selection of representative study cohort Therapeutic option 1 30% Response rate Therapeutic option 2 Clinical trail 3 20% Drug of choice for EVERYONE in target population Option 2 is not approved for this indication Response rate Healthcare
  • 4. Evidence based medicine Target population Information enabled medicine Therapeutic option 1 A Therapeutic option 2 B Selection of representative study cohort Association of molecular feature to phenotype/response 4 Healthcare
  • 5. Information Enabled Medicine Plavix • Mutation in CYP2C19 causes 3 fold increase in stent clotting • Mutation is present in 30% of European, 40% of African and 50% of Asian ancestries 5 Healthcare
  • 6. Evidence based medicine N=1 Information –enabled medicine Precision Medicine 100’s of options Selection of an individualized option Molecular profiling Individualized Information 6 Intelligent interpretation (understanding) The key question is: How do we do that ? Healthcare
  • 7. Powering the Possible program Finding cures and hope for Pediatric Cancer • Cancer isn’t just one disease, it’s hundreds – and varies between individuals • More effective cures can be “discovered” for each tumor and by attacking the unique vulnerabilities of each child’s tumor directly • Why Pediatric Oncology? – Leading cause of disease-related death in children ages 1-14 – A child diagnosed with cancer every hour – Cure rates have not improved in the last decade – Pharmaceutical companies have thousands of new drugs in development but very few target pediatric cancer • Why Neuroblastoma? – Worst clinical outcome of any pediatric cancer – 5% chance of cure in children with advanced stages of the disease – Even with remission, the cancer often returns and is untreatable 7 Healthcare
  • 8. Panel of Genes vs.Exomes vs. Whole Genomes Whole Genome Sequencing challenges: –Cost vs. Interpretable Data –Informatics Challenges Healthcare
  • 9. GEDI – Genomics Enabled Drug Inference Genomic Compendium Report Gene Drug Relationship Database Heuristic Rules Algorithm Healthcare
  • 10. First ever clinical trial using Molecular guided Individualized therapy in pediatric cancer Biopsy Molecular profiling Dell High Performance Computing: Faster and deeper profiling for each child 10 Healthcare
  • 11. DATA ANALYSIS SEQUENCING DAYS LIBRARY PREP STANDARD GOAL STRETCH GOAL SUPER STRETCH GOAL Healthcare
  • 12. Active Infrastructure for HPC Life Sciences A complete, integrated genomic processing infrastructure Designed to meet the needs of genomic research Factory-integrated, HPC infrastructure • Includes all resources required for complete analysis workflow • NGS output directly to compute grid • Compatible with extensive genomics application ecosystem • Optimized for performance, density, efficiency & power Reduce turnaround times from days to hours! 12 • Linux-based 512 node cluster • Large memory node • Lustre-based parallel file system • NAS-accessed output data /user files • Cluster and workload management • Rich standard development tools • Services and support High performance computing meets big data! Healthcare
  • 13. Rapid results with maximum efficiency Dell Active Infrastructure for HPC Life Sciences A complete genome analysis in less than an 8 hr. Up to 38 genomes processed per day As low as 25 kilowatts per genome Up to 9.4 Tflops, 1.5 TBs RAM, 520TBs in 42U chassis Time to production reduced from months to weeks One source for solution design, delivery, and support 13 Healthcare
  • 14. First ever clinical trial using Molecular guided Individualized therapy in pediatric cancer Dell Genomics Cloud: Improved clinical/scientific communication and collaboration Biopsy 14 Molecular profiling Molecular tumor board Healthcare
  • 15. Accessing Networked Genomic Data: Multiple Data Portals Genomic Tumor Board Clinical Trial Data Portal Cancer Genome Data Portal KIDS-CLOUDS Unifying Precision Medical Genomics Ecosystem Knowledge Computing Research Portals Public Facing Portals for Specific Trials Healthcare
  • 16. Collaborative Molecular Medicine Video Conferencing & Scheduling Capabilities – Cisco Suite of WebEx and TelePresence Video Interactive Dashboard for Presenting Multi-Media Files In Real Time – Lightbox App Capturing Corollary Findings, Ideas and Side-Bar Conversations – Research Forum App Searchable Back-end File and Knowledge Management Archive – Dell HIPAA HC Cloud WebEx Video Data Sharing Portal Apps Bin: LightBox, Research Forum, etc Searchable Archive Patient Centric Files Healthcare
  • 17. First ever clinical trial using Molecular guided Individualized therapy in pediatric cancer Dell Genomics Cloud: Improved clinical/scientific communication and collaboration Biopsy Molecular profiling Molecular tumor board Personalized Treatment Dell High Performance Computing: Faster and deeper profiling for each child 17 Healthcare
  • 18. For Pediatric Cancer, Cloud technology helps identify personalized treatment strategies for children with neuroblastoma Increases computation and collaboration capacity by 1,200% Reduces mapping and analysis from weeks to hours Expands participation from a few children to hundreds and then thousands Healthcare
  • 19. Powering the Possible for Pediatric Cancer Case Study - Dramatic Response in all 4 tumor areas June 6, 2012 Giselle Sholler, M.D. – Presentation, SIOP Conference October 10, 2012 Healthcare
  • 20. Shelby: A Medical Miracle Healthcare
  • 21. Big Data: Security and Privacy Healthcare
  • 22. It’s all about Trust It’s all about Trust 2 Healthcare
  • 23. Patient perspectives on sharing information • 54% of patients would withhold information • 38% would postpone seeking care • 37% would travel substantial distances to avoid a hospital they don’t trust with their privacy • 73% said serious breaches of PHI would reduce confidence in the quality of healthcare provided • 97% said healthcare executives have a legal and ethical responsibility to protect their privacy • 87% think health executives should lose their jobs over failure to act 23 Source: Fairwarning Report: Industry Best Practices for Patient Privacy in Electronic Health Records, April 2011 Healthcare
  • 24. 96% Percentage of all healthcare providers that had at least one data breach in the past two years $27 18+ million billion Number of patients whose protected health information was breached between 2009 and 2011 Amount earmarked between 2011 and 2015 for attesting to meaningful use of EHR 60% Proportion of healthcare providers that have had 2 or more breaches in the past 2 years $50 Black market value of a health record 65% Proportion of breaches reported involving mobile devices Healthcare
  • 25. 25 Healthcare
  • 26. Security strategy should support 4 critical areas Data visibility Endpoint access and encryption 26 Mobile device strategy Security and risk monitoring Healthcare
  • 27. Dell Healthcare: Better information Better healthcare 27 Healthcare

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