UNC Continuing Education Spring Series
Date: January 16, 2013
Presenter: Adam Wolfe, PharmD, BCPS

image source: www.google.com/trends
Are You Ready for The Era of Big Data?, McKinsey Quarterly, Oct 2011
Big data is a horizontal cross-section of the digital universe and can include transactional data, warehoused data, metadata, and other data residing in ridiculously large files.
-International Data Corporation (IDC)
It doesn't fit in Excel
www.endgadget.com
ICD Digital Universe
60% Annual growth rate
70% data generated by individuals
80% stored by enterprises
The Dawn of the Zettabyte Era; blogs.cisco.com; 2011
Big Data: The New Natural Resource;IBM Corporation; 2012
The Story of Big Data; Computer Sciences Corp; 2012
Extracting value from chaos, IDC IVIEW, June 2011
Franks B. Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics. 2012.
Big data technologies describe a new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high- velocity capture, discovery, and/or analysis.
Whyare they doing this?
image source: wikibon.org/bigdata
http://online-behavior.com/analytics/big-data
image source: What Is Big Data?, Autonomy/HP Infographic

Non-relational databases allow data to reveal its own structure and pattern

Visualize and block tracking sites with Collusion for Chrome
A GREAT analysis involves offering inferences and potential actions, not simply reporting statistics and facts.
Franks B. Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics.; 2012.
http://www.mckinsey.com/Features/Big_Data
Pharmacists need to know how big data can be used to achieve a specific pharmaceutical care based outcome
In order to optimize that outcome the drivers of that outcome has to be understood.
Does pharmacy big data even need to be analyzed by a pharmacist?
By utilizing available tools the pharmacy analytics team will provide a quantitative advantage to improve a qualitative outcome.

If the information gets into the wrong hands it can result in a lot of unintended consequences
You can see the computer age everywhere but in the productivity statistics



admin program traffic

External Benchmarking by Drug
i.e. market share information at peer hospital
External Benchmarking by Clinical Category
i.e. identify top performing peer
Internal Benchmarking and Data Analysis
i.e. medication utilization evaluation
CDB/RM User Manual for Pharmacy Reporting

http://healthcare.thomsonreuters.com/actionoi/
http://www.medassets.com/Our-Solutions/Supply-Chain-Management/Supply-Chain-Optimization/PublishingImages/Service-Line-Analytics.jpg