recorded Revenue Forecasting and Epidemiology Immersion

Revenue Forecasting and Epidemiology Immersion showcases the intersection of epidemiology, revenue forecasting, and drug valuation. It details global market perspectives, tactical competitive assessments, market share analysis, drug pricing strategies, and the impact of demographics. These financial considerations are juxtaposition against epidemiology, including real-world disease rates, projections, and patient populations. This interactive course includes data source exercises, case studies, and revenue forecast activities. This engaging course equips you with the knowledge and skills to navigate the complex landscape of revenue forecasting using the science of epidemiology. Don’t miss this opportunity to broaden your understanding and enhance your decision-making prowess. Enroll today and unlock the secrets to maximizing a drug’s valuation! 

Week 1: Revenue Forecasting Context

Gain insight into the strategic and tactical importance of revenue forecasting in the pharmaceutical industry. Understand the impact of external and internal factors on forecasts, and explore the art and science of market perspectives. Learn how forecasting is utilized throughout a product’s lifecycle, including market assessment, product forecasts, and in-line product support.

Week 2: Competitive Assessments

Master the art of competitive assessments in the pharmaceutical industry. Learn to define the scope, indication, and competitor landscape effectively. Explore techniques for data mining in and conducting technical reviews. Discover how to identify and evaluate competitors, even in the context of rare and genetic diseases, and adjust risk assessments accordingly.

Week 3: Market Share Assignment

Dive into the world of market share assessment. Understand the significance of market share, learn how to measure it, and explore the key factors that influence it, including therapeutic value, competition, and launch speed.

Week 4: Market Share Models

Explore various market share models and gain insights into their advantages and disadvantages. Delve into prominent models like McKinsey/MIT, Schulze/Rigel, and McKinsey and Company/EvaluatePharma to understand their impact on market share analysis.

Week 5: Drug Pricing Today

Gain insight into the current landscape of drug pricing, including US drug pricing legislation, proposed modifications, and various pricing elements. Explore the role of key players like Medicare, Medicaid, and pharmacy benefit managers, and consider pricing factors such as clinical value, pharmacoeconomic models, and international pricing. Dive into pricing references, resources, annual increases, generics, and additional forecasting considerations.

Week 6: Basic Epidemiology Terminology

Explore the fundamentals of epidemiology with this introductory course. Discover key concepts like prevalence rates, various types of prevalence measures, and incidence rates. Understand the connection between prevalence and incidence, and learn how to work with survival data. Dive into the basics of epidemiological study designs, including cross-sectional studies, cohort studies, and case-control studies.

Week 7: Disease Rates

Find out the significance of disease rates in public health research. Understand why disease rates are essential and how they are employed in epidemiological studies. Learn about various types of disease rates, including world standard rates, crude rates, age-specific rates, and age-adjusted rates. Dive deeper with a case study comparing Renal Cell Carcinoma disease rates in Japan and the Philippines.

Week 8: Role of Demographics in Epidemiological Projections

Discover the pivotal role of demographics in predicting future health trends. Learn how specific data, such as prevalence and incidence, with age and gender considerations, are used for epidemiological projections. Dive into real-world examples, like cancer epidemiology profiles, and explore a case study that illustrates how demographic changes in Japan and the Philippines can influence future health trends. Understand how disease rates play a crucial role in projecting the number of future patients.

Week 9: The Process of Determining Patient Populations

Get a clear understanding of the process involved in identifying patient populations. Explore the step-by-step journey of quantitative epidemiology, from defining who the patient is to establishing their epidemiological characteristics. Learn how to construct a patient tree and gather information from various sources, including literature. Discover the methods for processing, analyzing, and interpreting data, and how to perform epidemiology calculations and meta-analysis to generate meaningful results.

Week 10: Basic Sources of Epidemiological Data

Explore the fundamental sources of epidemiological data. Delve into peer-reviewed scientific and medical literature, including the PRISMA approach for systematic reviews. Learn about unique sources for rare and orphan diseases, disease registries, and extensive government health databases from around the world, including the US, Japan, Korea, China, Canada, the EU, and the UK. Dive into a case study on data sources specifically related to oncology.

Week 11: Revenue Forecast Assumptions Summary

Get a concise summary of the key revenue forecasting assumptions in just 20 minutes. Learn how to conduct a SEER query and gain insights from a case study that examines the epidemiology of AML (Acute Myeloid Leukemia).

Five Takeaways


  1. Explain how revenue forecasts are developed to drive strategic decision making and investment in the biopharma industry.
  2. List the core elements of revenue forecasting and explain the role of each.
  3. Discuss how revenue forecasting varies across geographies and cite the considerations that need to be accounted for.
  4. Discuss the logical process (workstreams) that leads to effective, defensible revenue forecasting and the interpretation of its findings.
  5. Generate insights and actionable decisions from the forecasting process.

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