Second Implementation of "Digitization of Medicine" Course in Hannover

Second implementation of the module “Digitization of Medicine - Data literacy for clinical research and health care” has begun in Hannover

The HiGHmed consortium – made up of renowned German medical institutes – empowers aspiring leaders of the healthcare field of tomorrow, by promoting digital literacy and supporting digital integration across all fields of allied health. To achieve this, HiGHmed is developing HiGHmeducation – an innovative training framework for teaching health informatics and data science skills to physicians, nurses and other staff from all fields of allied health. Multiple newly established online courses are already underway, right across our various academic partner sites. These online courses can be taken individually and we will soon offering an integrated vocational training programme, which will allow participants to earn HiGHmed professional certificates in e-health.

On 20th April 2020, the second round of the module "Digitization of Medicine - Data Literacy for Clinical Research and Healthcare" began as planned with 12 medical students, despite the corona pandemic – all thanks to the e-learning concepts utilised by the institute. The innovative e-learning module was developed at Hannover Medical School as part of the HiGHmeducation teaching and training subgroup of the HiGHmed Project. Research and practice share a strong symbiotic and cyclic relationship. 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 repeat utility of medical data in clinical research. In turn, there is a wish for a learning and ever updating health care system that incorporates results from research back to medical practice. Against this background, our module provides medical students with the necessary skills in data literacy for both scientific and clinical work. The structure of the module, with its five collaborative e-learning lectures combined with four webinars, corresponds to the five main topics of data literacy, defining the competencies which are required for successful and secure work with medical data. Starting with realistic examples of the use of medical data, our students will learn within a conceptual framework complete with relevant terms and concepts. Our course identifies and examines data collection from various medical sources, such as registries, wearables, omics databases and more. The students will generate their own data by measuring themselves with sensors and, in so doing, will gain personal and relevant experience concerning potential problems while measuring and documenting. The course also introduces the requirements (e.g. FAIR data principles, guidelines for the management of research data) and principles of medical data management during the data lifecycle. Furthermore, the students receive information about the tasks of a data integration centre and they learn introductory approaches to data modelling. The section about data evaluation delivers insights into different computerized data analyses, as well as visualization and classification approaches combined with practical exercises. In the context of data application, aspects of data privacy and protection will also be discussed. The elective module comprising a learning unit of 28 hours is integrated into the medicine model study program HannibaL (“Hannover integrated adaptive practice-related learning concept“).

First posted 23.04.2020, 13:30:00.