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Digitization of Medicine

Data literacy for clinical research and health care

Hannover Medical School (MHH)

This module is part of the certificate ”Digitalization of Clinical Research and Care”

Teaching Language: German

Workload: 0h presence / 8h online / 20h self-study = 28h total1 (1 ECTS) 

Target Group: The module primarily addresses medical students as well as physicians in further education.

Pretty young student studying at home sitting at her dining table with a large binder of notes checking something on the screen of her laptop computer
top view of Medicine doctor hand working with modern computer and smart phone on wooden desk as medical concept-1
Focused classmates studying together and using laptop in library

Consultation & Registration:
If you have any questions, please do not hesitate to contact us:

Form of teaching: Online tasks incl. group work; literature, videos, podcasts etc. for self-study  

The digitization of medicine has a strong influence on the work of health professionals. Advanced information infrastructure concepts, for the sharing of medical data, along with advancements in data analytics, such as machine learning and data mining, offer new opportunities and challenges for the reuse of medical data in clinical research.

In turn, there is a wish for a learning health care system that incorporates results from research back to medical practice. Against this background, the module enables the acquisition of basic skills for the scientific handling of medical data.

Learning Objectives

On the basis of five topics, a basic data literacy is taught, which is necessary for successful and secure work with medical data. The structure of the module corresponds to the five main topics of data literacy, defining the competencies which are required for successful and secure work with medical data. Based on current developments, a conceptual framework with relevant terms and concepts is defined and reflected. By collecting own activity and health data using mobile sensors as well as analyzing various sources of medical data, different aspects of ´data collection´ are addressed.

The examination of functionalities and tasks of data integration centres combined with approaches to data modelling introduces the medical data management. Practical exercises in data analysis and data visualization refer to the area of data evaluation. With regard to data application, the role of physicians in the cross-sectoral collection and use of medical data is discussed in addition to ethical and legal aspects. An essential aspect of the module is the promotion of an active engagement of the learners with different questions.


The module “Digitization of Medicine - Data literacy for clinical research and health care” comprises 28 hours within five weeks and is integrated as elective subject into the model study program HannibaL ( (“Hannover integrated adaptive practice-related learning concept“). HannibaL was established at the Hannover Medical School in 2005.

It's main characteristics are early patient contacts for practical skills and patient communication as well as the imparting of profound knowledge with a focus on scientific work and research.


1The times serve as rough orientation. The real times may differ.