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PLEASE VISIT THE EVENT SITE FOR COMPLETE INFORMATION

AND UP TO THE MINUTE INFORMATION

Here is a working document, outlining the direction we are going:

Data Science and Big Data in Life Sciences & Health Care.

Friday October 11th 2013,  Optum Corporate Conference Center, Eden Prairie, MN

Multiple tracks - more than 600 engaging participants expected (+ lunch).

Current ideas proposed:

• Personal analytics, with all that data your devices are collecting you are now big data.

• EHR breadth and depth piles on our old friend, the administrative health claim.

• Big Data Biomarker Bonanza.

• PHI, HIPAA compliance and the cloud.

• ICD 10 - from V9542XA (Spacecraft crash injuring occupant, initial encounter) to W5922XA (Struck by a turtle).

• Incubators, Intrapreneurship, and Startup Showcase.

• A healthy dose of Hadoop.

• The life of Social media in the life sciences.

• The life cycle of a health care claim tutorial.

• ...and, as usual: Predictive Modeling and Data Visualization.

SPEAKING and SPONSORSHIP opportunities may exist.

Speakers

Doug Cutting, AB, Founder of Hadoop and Chief Architect, Cloudera

Steve Parente, PhD, Director of the Medical Industry Leadership Institute

Shirley Weis, MBA, Chief Administrative Officer of the Mayo Clinic

Vivek Ajmani, PhD, Business Intelligence & Analytics Manager, Medtronic
Boris Bershadsky, PhD, Director, Outcomes Analytics, UMN
John Blank, MD, Healthcare Executive and Angel Investor
Vladimir Cherkassky, PhD, Professor, CSE
Paul Codding, BS, Big Data Solution Engineer, Hortonworks
Siddharth Dani, MS, Senior Scientist, Neuromodulation, Medtronic
Prasanna Desikan, PhD, Sr. Scientific Advisor, Ctr for Healthcare Research & Innovation, Allina
Thomas Dow, MS/MBA, Director Innovation and Analytics, Enclarity
Steven Eisenberg, MD, Principal - Independent Healthcare Consulting, Ind Con
Archelle Georgiou, MD, President, Georgiou Consulting
Pat Gleason, PharmD, Director of Health Outcomes, Prime Therapeutics
Diwakar Gupta, PhD, "Professor, CSE, UMN
Nissa Hager, BS, Product Manager Neuromodulation, Medtronic
Monika Heller, MD, Chief Medical Officer, CogCubed
Rich Henriksen, MA, Independent Hospital & Health Care Professional, Independent
Jadin Jackson, PhD, Clinical Professor, University of Saint Thomas
Jay Jacobs, BA, Principal, Verizon Business, Verizon
Paul Jones, MS, Clinical Researcher, Boston Scientific
Maciej Lazarewicz, PhD, Technology Program Manager and Architect, Data Science, Medtronic
Russ Littlefield,  Vice President, Advanced Analytics Lab, OptumInsight
Dan McCreaery, NoSQL Evangelist
Andy McGarvey, MBA, Vice President of Strategic Solutions, OptumInsight
Michael Moses, MD/MBA, Consulting Practice Leader - Dell Healthcare & Life Sciences
Brock Noland,  Software Engineer, Cloudera
Insurance Industry Chair of Health Finance", CSOM
Mark Pitts, MS/MBA, Senior Vice President Analytics, SourceHOV
Bill Preachuk, BS, Data Warehouse Architect, Emergent Networks
Yang Qiu, Statistician, Prime Therapeutics
Sivakumaran Raman, MD/MS, Vice President, Clinical Informatics, Optum Labs
Kurt Roots, MS/MS/MBA, Co-founder and CEO,CogCubed
Brad Rubin, PhD, Professor, Graduate Programs in Software at University of St. Thomas
Paul Saarinen,  Co-founder and CEO/President, Miinome
Jared Sieling, MS, Chapter Founder, The Quantified Self, PM MEI Research
David Smith, PhD, Professor, Laboratory Medicine and Pathology, Mayo Clinic
NateSmith, BS, Software & Database Engineer, 3M
Jaideep Srivastava, PhD, President, Ninja Metrics & Professor, University of Minnesota
Christopher Weight, MD, Uroligist, UMN, UMN
Kai Worrell, CEO, Geneva Healthcares

Watch the videos of the sessions you missed in January.

“There are some big data meetups centered in the standard conference centers…Las Vegas, San Francisco, New York… but this is unheard of for a local meetup group, I don’t know of another one like it in the country.”  -Dave Fowler, Founder Chart.IO San Francisco, CA

How often are demographics used in your analytics and results?  Population change, income or educational attainment, age or ethnicity, neighborhood urbanicity or  psychographics -- let’s face it – analytics are built on good data.   Most of us focus on the attributes of markets and customers in our work at some point.