Applied Pharmacoeconomics

Comprehensive Graduate program

Become a Leader in a Growing Global Field

Become a leader in this fast-growing global field by enrolling in the University of Florida's Applied Pharmacoeconomics specialty track.

Applied Pharmacoeconomics Track Webinar

What is Applied Pharmacoeconomics?

Pharmacoeconomics is an aid to better healthcare management.

Fast-Growing & Globally Important

Pharmacoeconomics utilizes economic methods to evaluate and compare the value of one drug or intervention to another. With serious concerns about the value and cost of drugs and healthcare, and continuing pressure to reduce budgets, everyone is asking the question, “Where should I spend healthcare dollars to get the most value?” Pharmacoeconomics answers this question.

A Key to Better Healthcare Outcomes

Pharmacoeconomics and its related fields of health economics and outcomes research (HEOR), provides insights that guide optimal resource allocation. Pharmacoeconomic data are used by clinicians, health systems, health insurers and payers, policy-makers, health technology assessment agencies and even patients. This exciting area of study identifies quality patient care by balancing economic, humanistic and clinical outcomes, taking the emphasis away from “what’s the cheapest?”

Selected curriculum topics include:

  • Economic valuation methods
  • Health policy & technology assessment
  • Outcomes measurement
  • Data analytic techniques & presentation of results
  • Drug pricing & reimbursement
  • Health & prescription drug benefit design
  • Micro- & macroeconomics

Top Education from a Top University

This applied pharmacoeconomics graduate program is one of the few accredited online graduate programs in the United States where you will get a comprehensive, applied and real-world education in this unique and in-demand area of study.

Vakaramoko Diaby

Free Lecture Preview

Meet the Track Director

The Applied Pharmacoeconomics specialty track is lead by Karam Diaby, Ph.D. with global experience in Economic Evaluation, Health Technology Assessment (HTA) and priority setting using Multi-Criteria Decision Analysis (MCDA). He is also interested in decision analytic modeling.