1. 2015 NINR Big Data in Symptoms Research Boot Camp Overview
Kitty Chadwell, DNP, MBMSc, ARNP, GNP-BC, CPHQ

2. Contributors

6. 12+ TBs of tweet data every day 25+ TBs of log data every day
2+ billion people on the Web by end 2011
30 billion RFID tags today (1.3B in 2005)
4.6 billion camera phones world wide
100s of millions of GPS enabled devices sold annually
76 million smart meters in 2009… 200M by 2014
12+ TBs of tweet data every day
? TBs of data every day
25+ TBs of log data every day

10. Big Data is being used to improve insights in
BIG DATA IS HERE TO STAY
Big Data is being used to improve insights in
Global Economics
Education Insights
Weather Prediction
Disease Outbreaks
Even our local foodbank distribution
Big Data in healthcare is estimated to generate $300B
Efficiencies
Medical improvements
Generating Value through Innovation
Research and Science Analysis

13. Managing Data

28. Tuesday: clinical

40. Big Data in Action

41. Compared of the 50 million most common Google search queries in the U
Compared of the 50 million most common Google search queries in the U.S. with flu-like illness rates measured by the U.S. Centers for Disease Control and Prevention's (CDC) national surveillance program,
Narrowed pool to 45 search terms (relating to symptoms, complications and remedies) that correlated with the agency's data on the prevalence of flu symptoms.
95% accuracy for detecting flu-like symptoms earlier than CDC, less expensively
Less accuracy with laboratory confirmed flu
Although it matches CDC-detected trends to within 95 percent, it's less accurate at estimating actual rates of laboratory-confirmed flu, according to a study presented May 17 at the American Thoracic Society 2010 International Conference in New Orleans.
Google Flu Trends" Found to Be Nearly on Par with CDC Surveillance Data
Scientific America May 17, 2010

64. ANA

67. Opportunities