TechAmerica Big Data Roadshow Silicon Valley
Organization: TechAmerica
Venue: stanford university kresge auditorium s
Location: Stanford, California, United States
Event Date/Time: Nov 06, 2013 / 7:30 am - (PST) | End Date/Time: Nov 06, 2013 / 11:15 am - (PST) |
Description
The strategic use of big data systems has the potential to revolutionize public health, from administration to diagnosis and care. Already, the smart implementation of big data and analytics has provided tangible and measureable benefits to those working in the public health industry. By combining data from different “pools” (pharmaceutical research, clinical data, activity and cost data, patient behavior data), medical industry professionals have been able to gain valuable new insights into the successes and shortcomings of the healthcare industry, providing patients with specialize, effective care. In addition to the health benefits that big data systems provide, they can also be used to run more efficient healthcare institutions. By analyzing the success rates of specific pharmaceutical products, hospitals can make sure that their patients are paying for medicine that will alleviate or cure their ailments.
It is becoming increasingly clear that big data will play a significant role in the future of healthcare. In California, the Stanford University Medical Center has integrated big data systems into its services, allowing for cutting-edge research in the field of genetics as they relate to disease.
At the Big Data Roadshow stop in Silicon Valley, TechAmerica will partner with Stanford Center for Professional Development to explore the exciting intersection of healthcare and technology, bringing together industry trendsetters from a variety of medical industry disciplines.
Featuring:
Tom Kalil
Deputy Director for Technology and Innovation, White House Office of Science & Technology Policy
Carlos Ramos
Director and State CIO California Department of Technology
Anand Das
Vice President & Chief Technology Officer, Xerox Federal Government Solutions
Trevor Hastie
John A. Overdeck Professor of Mathematical Sciences, Stanford University
Russ Altman
Director, Biomedical Informatics Training Program, Stanford University