Data Science in Health Technology Assessment

Data Science in Health Technology Assessment

Instructor: Monica Daigl

2,548 already enrolled

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3 modules

Gain insight into a topic and learn the fundamentals.

23 reviews

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

23 reviews

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

Skills you'll gain

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

3 assignments

Taught in English

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There are 3 modules in this course

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.

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.

What's included

12 videos4 readings1 assignment

12 videosTotal 15 minutes

Introduction1 minute
Comparators1 minute
Scope of the evaluation1 minute
Type of costs1 minute
Perspective1 minute
Discounting2 minutes
Type of analyses3 minutes
Cost-effectiveness and cost-utility analyses1 minute
QALYs0 minutes
ICER1 minute
Other decision elements1 minute
Summary0 minutes

4 readingsTotal 100 minutes

Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022)30 minutes
ISPOR Value Flower30 minutes
Multiple Criteria Decision Analysis for Health Technology Assessment30 minutes
Notes10 minutes

1 assignmentTotal 20 minutes

Testing your knowledge on Economic Evaluation20 minutes

This module covers the measurement of health-related quality of life and its incorporation into economic evaluation.

What's included

9 videos4 readings1 assignment

9 videosTotal 12 minutes

Introduction0 minutes
Definition of Health And Patient Reported Outcomes1 minute
Quality of Life Measurement1 minute
Health Related Quality of Life Instruments2 minutes
Utility2 minutes
Valuation Techniques3 minutes
Preference Based Instruments1 minute
QALYs2 minutes
Summary0 minutes

4 readingsTotal 100 minutes

Introducing economic and quality of life measurements into clinical studies by Michael Drummond30 minutes
Valuing health-related quality of life: An EQ-5D-5L value set for England30 minutes
A Review of Generic Preference-Based Measures for Use in Cost-Effectiveness Models30 minutes
Notes10 minutes

1 assignmentTotal 18 minutes

Testing your Knowledge on QALYs18 minutes

This module introduces decision modelling techniques, deterministic and probabilitic sensitivity analyes and best practices for problem and model conceptualization.

What's included

6 videos3 readings1 assignment

6 videosTotal 11 minutes

Introduction0 minutes
Decision Modelling2 minutes
Decision Trees2 minutes
Markov Models2 minutes
Sensitivity Analyses5 minutes
Summary0 minutes

3 readingsTotal 70 minutes

Conceptualizing a Model: ISPOR-SMDM Modeling Good Research Practices30 minutes
Model Parameter Estimation and Uncertainty: ISPOR-SMDM Modeling Good Research Practices30 minutes
Notes10 minutes

1 assignmentTotal 15 minutes

Testing your knowledge on Economic Modelling15 minutes

Instructor

Instructor ratings

(9 ratings)

Monica Daigl

Genentech

0 Courses0 learners

Offered by

Genentech

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Reviewed on Jan 22, 2026

Great overview, would be useful to have more real-life examples.

Reviewed on Apr 16, 2024

I love this course as it is simple to understand and concise. Will be better if it can include more calculation or case scenarios in this course =)

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