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




http://www.polleverywhere.com/multiple_choice_polls/NDU4NTYyNTgw

Google Trends: Big Data


  • Does this this have anything to do with healthcare?

image source: www.google.com/trends

7 MegaTrends in Healthcare

  1. Availability of tools to translate big data into relevant information. 
  2.  Demand from consumers to access that data. 
  3. 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
  1. Transparency 
  2. Segmentation
  3. Decision Support
  4. Innovation
  5. 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
Data visualizations platforms
  • infogr.am
  • visual.ly
  • Many Eyes (IBM)

The list goes on!

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?
  1. Commit to learning opportunities
  2. 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