Preaload Image

Forecasting in Oncology


Outcomes: The aim of the course is to instill greater confidence in Oncology forecasting by providing an in-depth understanding of Oncology specific forecasting topics. Following this course you will be able to:

  • Understand Oncology specific forecasting considerations, and how these can be factored into your forecasts
  • Evaluate the pros and cons of a patient flow based forecasting methodology, and compare to other approaches
  • Develop an Oncology forecast, taking into consideration the different approaches applicable throughout an Oncology forecast
  • Critically assess existing Oncology forecasts

Who should attend: We developed the Oncology Forecasting course for anyone who plays a role in the forecasting process, where the forecast is focused on Oncology or other progressive diseases.

What will be covered: This course builds upon the best practice forecast principles covered in our Fundamentals of Forecasting training course, delving more in depth in the areas specific to Oncology. We would encourage you to enroll on the Fundamentals course first to ensure a comprehensive understanding of these key principles.

Key Oncology topics covered in this training include:

  • How Oncology forecasts differ to other forecasts
  • Why a patient flow methodology is more appropriate
  • Key Terminology used in Oncology and Oncology Forecasting
  • How to include Oncology specific considerations such as: biomarkers and patient specific therapies, product restrictions, length of therapy, progression through lines/stages, weight/BSA based conversion, product vs regimens and much more
  • When a cross-sectional methodology may be applicable

Once purchased,  you will have access to this training course for 6 months.

How will it be covered:

The training is brought to life using engaging visuals, real-life examples, and a do-it-yourself case study.

  • 9 videos and accompanying text walk you through the key considerations when forecasting Oncology
  • 2 real-life examples bring theory to life
  • 5 quizzes test your understanding as you move through the training
  • 1 case study to put into practice what you have learnt – use our Onco+ software to design, build, and populate your own Oncology forecast model.

Total time: 3.5 hours



Course Features

  • Lectures 20
  • Quizzes 5
  • Students 29
  • Certificate Yes
  • Assessments Yes
  • Introduction to Oncology Forecasting 0/5

    • Lecture1.1
      Pre-Training Evaluation
    • Lecture1.2
      Overview of Course Content and Objectives
    • Lecture1.3
      Key Concepts and Challenges when Forecasting in Oncology 04 min
    • Lecture1.4
      Key Terminology 06 min
    • Quiz1.1
      Introduction to Oncology Forecasting Quiz 4 questions
  • Patient Flow Methodology 0/10

    • Lecture2.1
      Introduction 01 min
    • Lecture2.2
      What is a Patient Flow Methodology? 10 min
    • Lecture2.3
      Key Considerations for a Patient Flow 08 min
    • Lecture2.4
      Epi/Target Patient Definition Section 06 min
    • Quiz2.1
      Epi/Target Patient Definition Section Quiz 4 questions
    • Lecture2.5
      Patient Dynamic Section 13 min
    • Quiz2.2
      Patient Dynamic Quiz 3 questions
    • Lecture2.6
      Conversion Section 05 min
    • Quiz2.3
      Conversion Quiz 3 questions
    • Lecture2.7
      Example of a Simple Patient Flow Model 04 min
  • Cross Sectional Method 0/3

    • Lecture3.1
      Pros and Cons of a Cross Sectional Method 05 min
    • Lecture3.2
      Example of a Cross Sectional Model 03 min
    • Quiz3.1
      Cross Sectional Method Quiz 3 questions
  • Case Study 0/5

    • Lecture4.1
    • Lecture4.2
      Map out Model Flow
    • Lecture4.3
      Build and Populate the Model
    • Lecture4.4
      Additional Analysis
    • Lecture4.5
  • Completion 0/2

    • Lecture5.1
      Post-Training Feedback
    • Lecture5.2