ProClarity: Practical Applications Thomas R. Emmendorfer, PharmD Assistant Chief Consultant Pharmacy Benefits Management (PBM) Services.

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Presentation transcript:

ProClarity: Practical Applications Thomas R. Emmendorfer, PharmD Assistant Chief Consultant Pharmacy Benefits Management (PBM) Services

Learning Objectives At the end of the presentation, the participant will understand: – The principles of how data cubes are organized – The principles of conducting analyses of data cubes using ProClarity – How to setup a ProClarity Briefing Book – How to export results of analyses to PowerPoint and Excel – How to establish a connection to the data cube using Excel

Overview Data Cube – Collection of data that is organized for rapid query response and designed for analysis – Derived from relational tables or a data warehouse Online Analytic Processing (OLAP) Client – Application that enables browsing and analysis of data cubes (e.g. ProClarity ® )

Pharmacy Databases Mortality Data VA National Health Surveys VA National Patient Care Databases DEpiC Diabetes Epidemiology Cohort Potential Data VA Rehab VA Dz Registries CMS Medicare Example of Relational Tables

PBM Services ProClarity® Cubes IV Unit Dose Outpatient

Dimensions = descriptive categories Measures = numeric

Example of Dimension Hierarchy

Measures: Outpatient Prescriptions

Briefing Books “Pages” or individual reports saved in one main “Book” or file Interactive and updates automatically View and modify pages within book

PBM ProClarity® Access VISN Formulary Leader Approval VISN and National access Requests sent to Signed Data Use Agreement must be scanned and ed back and/or mailed back

Question 1: What were the top 10 drugs at the generic level for VISN 24 by cost in FY2008?

Review Dimension – Select specific level Filter Rows vs. Columns

Question 2: How many unique patients were dispensed VENLAFAXINE in VISN 24 by QTR (FY08 – FY09)?

Review Dimension – Select specific level (Time) – “Search” feature (Drug) Rows vs. Columns Graphical display selection

Question 3: How many unique patients were dispensed VENLAFAXINE in VISN 24 facilities by QTR (FY08 – FY09)?

Review Dimension – Select specific level (Time, VISN) – “Search” feature (Drug) Rows vs. Columns Graphical display selection

Question 4: How many unique patients were dispensed VENLAFAXINE IR and SA in VISN 24 Station 100 by QTR (FY06 – FY07)?

Review Dimension – Select specific level (Time) – “Search” feature (Drug) – Create “Member” (Drug) Rows vs. Columns Graphical display selection

Question 5: How many unique patients were dispensed VENLAFAXINE IR and SA by VISN 24 facilities (FY06 – FY07)? (Only Display ONE facility at a time)

Copy Results of Question 5 Excel PowerPoint

How to Connect the Cube to An Excel Workbook

ProClarity® Conclusions Provides a graphical user interface Create and save customized “Briefing Books” Trend internal and external prescribing trends to a VA facility/VISN

Questions?