Data Science in Health Technology Assessment

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Data Science in Health Technology Assessment

Instructor: Monica Daigl

2,544 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 videos Total 15 minutes

Introduction 1 minute
Comparators 1 minute
Scope of the evaluation 1 minute
Type of costs 1 minute
Perspective 1 minute
Discounting 2 minutes
Type of analyses 3 minutes
Cost-effectiveness and cost-utility analyses 1 minute
QALYs 0 minutes
ICER 1 minute
Other decision elements 1 minute
Summary 0 minutes

4 readings Total 100 minutes

Consolidated Health Economic Evaluation Reporting Standards 2022 (CHEERS 2022) 30 minutes
ISPOR Value Flower 30 minutes
Multiple Criteria Decision Analysis for Health Technology Assessment 30 minutes
Notes 10 minutes

1 assignment Total 20 minutes

Testing your knowledge on Economic Evaluation 20 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 videos Total 12 minutes

Introduction 0 minutes
Definition of Health And Patient Reported Outcomes 1 minute
Quality of Life Measurement 1 minute
Health Related Quality of Life Instruments 2 minutes
Utility 2 minutes
Valuation Techniques 3 minutes
Preference Based Instruments 1 minute
QALYs 2 minutes
Summary 0 minutes

4 readings Total 100 minutes

Introducing economic and quality of life measurements into clinical studies by Michael Drummond 30 minutes
Valuing health-related quality of life: An EQ-5D-5L value set for England 30 minutes
A Review of Generic Preference-Based Measures for Use in Cost-Effectiveness Models 30 minutes
Notes 10 minutes

1 assignment Total 18 minutes

Testing your Knowledge on QALYs 18 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 videos Total 11 minutes

Introduction 0 minutes
Decision Modelling 2 minutes
Decision Trees 2 minutes
Markov Models 2 minutes
Sensitivity Analyses 5 minutes
Summary 0 minutes

3 readings Total 70 minutes

Conceptualizing a Model: ISPOR-SMDM Modeling Good Research Practices 30 minutes
Model Parameter Estimation and Uncertainty: ISPOR-SMDM Modeling Good Research Practices 30 minutes
Notes 10 minutes

1 assignment Total 15 minutes

Testing your knowledge on Economic Modelling 15 minutes

Instructor

Instructor ratings

(9 ratings)

Monica Daigl

Genentech

1 Course 2,544 learners

Offered by

Genentech

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Reviewed on Jan 21, 2026

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

Reviewed on Apr 15, 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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