Utrecht, Netherlands

Data Science in Clinical Practice

online course
when 1 February 2022 - 31 December 2023
language English
duration 100 weeks
credits 2 EC

Careful data curation and analyses are essential in developing machine learning algorithms, that may usefully contribute to solving problems encountered in routine healthcare. Nevertheless, many valuable contributions never transition from the computer to the beside. Often implementation is never attempted, or they fail to get the relevant CE marking (or equivalent local standard), or their implementation fails to elicit the intended health benefit (failure due to lack of clinical utility).

The current courses focus on the latter and provides the foundation necessary to plan and conduct clinical evaluation of machine learning solutions to fairly assess their contribution to clinical practice. Specifically, using relevant case studies you will learn:

A short introduction on prognostication and machine learning,
Field usability and feasibility analyses,
Early clinical evaluation,
Introduction to causal inference,
Limitations of traditional RCTs and alternative designs for clinical evaluations,
Critical considerations of front-end-development
Check the DATAclinic Animation Video here.

Course leader

Dr. Floriaan Schmidt

Target group

Healthcare professionals

Fee info

EUR 0: Course + course materials

During Summer 2022 this online course will be offered in combination with an 1.5 hour interactive virtual masterclass, in which participants will learn directly from the experts. The course fee for this blended edition of the Data Science in Clinical Practice course is € 625.

More information will follow soon on this website.

Register for this course
on course website