BIG Data:
A Pharmacist's Perspective
UNC Continuing Education Spring Series
Date: January 16, 2013
Presenter: Adam Wolfe, PharmD, BCPS
Disclosures
Adam Wolfe has nothing to disclose.
Objectives
1. Understand the big data,
2. Identify multiple methods of handling and processing big data
3. Illustrate the potential application of big data in the pharmacy profession
4. Develop personal development plan for improving analytic skill set including big data analysis
Self-Assessment
Google Trends: Big Data

- Does this this have anything to do with healthcare?
image source: www.google.com/trends
7 MegaTrends in Healthcare
- Availability of tools to translate big data into relevant information.
- Demand from consumers to access that data.
- Big data will separate hospitals winners from losers. - marketplace advantage over competitive hospitals
Paul Keckley, Executive Director, Deloitte
Big Data Sectors
Are You Ready for The Era of Big Data?, McKinsey Quarterly, Oct 2011
DEFINING BIG DATA
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
The Data byte
www.endgadget.com
the zettabyte era: BIG DATA
ICD Digital Universe
- 1 ZB, 2010
- 2.7 ZB, 2012
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
ENABLING BIG DATA
- conversion from analog to digital
-
inexpensive storage
- proliferation of sensor and data capture technology
- increasing connections to information via the cloud
-
virtualized storage infrastructures
- innovative software and analysis tools
Extracting value from chaos, IDC IVIEW, June 2011
The sourceS OF Big Data
- web transactions
- telematics
- text
-
time and location
-
radio frequency identification
-
smart-grid
-
sensor data
- telemetry
Franks B. Taming the big data tidal wave: finding opportunities in huge data streams with advanced analytics. 2012.
Big DataSets
Big Data Big Problem
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.
-IDC 2011
big data Business
Whyare they doing this?
image source: wikibon.org/bigdata
Big Data Big Value
5 broad value creation methods
- Transparency
- Segmentation
- Decision Support
- Innovation
- Industry Sectors Growth
http://online-behavior.com/analytics/big-data
Unstructured BIG DATA
image source: What Is Big Data?, Autonomy/HP Infographic
Think Differently

-
non-relational datasets
-
parallel processing
-
distributed hardware
Big DaTA Storage
Non-relational databases allow data to reveal its own structure and pattern
The Story of Big Data; Computer Sciences Corp; 2012
Web Tracking Collusion

Visualize and block tracking sites with Collusion for Chrome
BIG Data Analytics
A G.R.E.A.T. analysis is:
-
Guided by a business problem
-
Relevant
-
Explainable
-
Actionable
-
Timely
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.
Analytic Resources
http://www.mckinsey.com/Features/Big_Data
FOCUSed Analytics
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?
Pharmacist analysts
Who can be a pharmacist analyst?
Pharmacist Informaticist?
-
Clinical Pharmacist?
-
Outpatient Pharmacist?
- Administrative Pharmacist?
[The Pharmacy profession] Clinical practice owns answering the questions.
- Mark Siska
Pharmacy Analytics
By utilizing available tools the pharmacy analytics team will provide a quantitative advantage to improve a qualitative outcome.
Rogue Analytics

If the information gets into the wrong hands it can result in a lot of unintended consequences
Productivity Paradox
You can see the computer age everywhere but in the productivity statistics
Pharmacy Analytics
table.tableizer-table { border: 1px solid #CCC; font-family: Arial, Helvetica, sans-serif; font-size: 12px; } .tableizer-table td { padding: 4px; margin: 3px; border: 1px solid #ccc; } .tableizer-table th { background-color: #104E8B; color: #FFF; font-weight: bold; }- Vendor Product Use Thomson Reuters Action OI Operational Performance Improvement University of HealthSystem Consortium Clinical Data Base/Resource Manager Internal/External benchmarking MedAssets Service Line Analytics Supply utilization analysis Amerisource Bergen Purchasing data Cost Control Pyxis C2 Safe Controlled Substance Diversion Tracking Pharmacy Information System Prescriptions Research/Clinical Decision Support
Tools Beyond Excel
User-friendly analytic platforms
- Big Query
- Big Sheets
- Google Analytics
- infogr.am
- visual.ly
- Many Eyes (IBM)
Big query

Wikipedia Pharmacy
Big Mistake

This search cost me $10 (lucky it wasn't more!)
Big Sheets
Cloud-based analytic tool
Works similar to Excel
Healthcare application:
Target: Top Drug Prescribers
Identify
Monitor
Big Sheets
Sentiment analytics

Web Data Admin Residency
Web Data Google Analytics
admin program traffic
WEB DATA SEGMENTation
social network Linkedin ALUMNI
Text Analysis Meeting
Text Analysis EMR
- Automate data collection
- Leverage dashboard views
- Enforce standards of care
Pharmacy CDM/RM
University Healthcare Consortium
Report Builder Interface

UHC Benchmarking
96 participating hospitals
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
UHC CDB/RM Antibiotic Use
Antibiotic Olympics
Action OI
Thomson Reuters

benchmarking (self and peer)
operational performance
http://healthcare.thomsonreuters.com/actionoi/
service line analytics (SLA)
http://www.medassets.com/Our-Solutions/Supply-Chain-Management/Supply-Chain-Optimization/PublishingImages/Service-Line-Analytics.jpg
Research
- Dose Limits
UK vs. Michigan
Benchmark Data Leverage
- Kansas and NY
What is your example? How deep do you analyze? Try this...
Your PDP
What is your personalized development plan?
- Commit to learning opportunities
- If you want to start, start here
- Big Data University
bigdatauniversity.com
- Data Visualization
excelcharts.com
- Advancing Analytics
???
Acknowledgements
CE Adviser:
Robert Granko
Content Contributors:
Mark Siska
Allen Flynn
Technology Support:
Chris Francart
big data
By adrock
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