Coursera Plus Annual is 40% Off — Ends July 13.

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Coursera

Data Science in Health Technology Assessment

Genentech via Coursera

Go to class Write review

Overview

Google, IBM & Meta Certificates – 40% Off
One plan covers every Professional Certificate on Coursera.
Unlock All Certificates
This course explores key concepts and methods in Health Economics and Health Technology Assessment (HTA) and is intended for learners who have a foundation in data science, clinical science, regulatory and are new to this field and would like to understand basic principles used by payers for their reimbursement decisions.

Syllabus

  • Health Economics
    • This module covers the key principles of economic evaluation, including types of analysis, the technical issues such as choosing the comparator, perspective, and time horizon. It looks at types of costs, and the need for discounting.
  • Health measurements and QALYs
    • This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.
  • Health Economic Modelling
    • This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.

Taught by

Monica Daigl

Reviews

5.0 rating, based on 1 Class Central review

Start your review of Data Science in Health Technology Assessment

  • Profile image for Dr. Mohamed Bouchoucha
    Dr. Mohamed Bouchoucha @DrBM
    2
    I would rate the course on Data Science in Health Technology Assessment by Genentech via Coursera as excellent. The content is well-structured and provides a comprehensive understanding of how data science can be applied in health technology assessments. The instructors are knowledgeable, and the course includes practical examples that enhance learning. It effectively combines theoretical concepts with real-world applications, making it beneficial for both beginners and those with some background in the field. Overall, it's a valuable resource for anyone interested in the intersection of data science and healthcare.
Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.