Using Predictive Analytics to Improve Value-Based Cancer Care Delivery

ACPE UAN #:  0233-0000-17-020-H04-P

Release Date: March 28, 2017

Expiration Date:  March 28, 2020

Activity Type:    Knowledge-based

Contact Hours:  1.25

Activity Fee:  Member:  $15        Non-Member: $30

Target Audience: Pharmacists who practice in managed care settings.

Activity Overview

Oncology care is evolving into a true value-based system that rewards better outcomes and lower costs. As part of this evolution, health plans and oncology quality management companies increasingly are relying on predictive analytics to improve value based cancer care delivery. 

This case-based session highlights two specific approaches that are being used to drive quality improvement and cost savings: risk stratification to reduce inappropriate chemotherapy and predictive modeling to prevent avoidable chemotherapy-related hospital admissions. You will come away with a better understanding of how to harness available information to build effective predictive analytics models that connect clinical and financial outcomes.

Learning Objectives:  

At the completion of this activity, participants should be able to:

1. Discuss the role of predictive analytics in population health management and oncology care

2. Explain the difference between risk stratification strategies and predictive modeling strategies.

3. Identify the types of data sets (e.g., clinical, health plan claims, patient demographics) needed to build different analytic tools.

4. Outline a strategy for addressing challenges associated with implementing a predictive analytics program for oncology care delivery. 

Schedule of Educational Activity

This activity consists of an audio recording, pre-test assessment questions (not required to pass or continue), post-test questions (required to pass with a score of 70% or higher) and a specific activity evaluation. 

CPE Requirements:   

Participants should claim continuing pharmacy education (CPE) credit for this home study activity only if they have not claimed credit for the live activity presented at the AMCP Annual Meeting 2017. 

CPE credit will be processed through the AMCP Learn portal and reported directly to CPE Monitor.  Please allow 72 hours for processing and posting in your NABP account. 

To receive credit for an online activity you must:

  • Review the full content of the activity.
  • Successfully complete the post-test (required to pass with a score of 70% or higher, it may be taken a maximum of three times).
  • Complete a specific activity evaluation.

System Technical Requirements/Viewing Requirements: System Requirements Courses and learning activities are delivered via your Web browser and Acrobat PDF. For all activities, you should have a basic comfort level using a computer and navigating web sites.  View the minimum technical and system requirements for continuing education online learning activities.

As an accredited provider, AMCP strictly adheres to the ACPE Standards for Commercial Support and other relevant guidelines and standards to ensure the independence of continuing pharmacy education (CPE) activities.  It is AMCP’s intent that all CPE activities be independent, objective, balanced, evidence-based and free of any commercial bias.


Michael Pazirandeh | PharmD | Field - Health Economics Outcomes Research Scientist West | Bristol-Myers Squibb | North Hollywood, California

Credit Information

Activity Number Credit Amount Accreditation Period
ACPE UAN #0233-0000-17-020-H04-P 1.25 Contact Hours March 28, 2017 - March 28, 2020