Data Integration and Analysis at HsH – New Digital Teaching Course

The Hanover University of Applied Sciences (HsH), as a HiGHmeducation partner, has developed a course all about data management, entitled “Advanced Technologies and Methods of Data Analysis and Curation,” under the direction of Prof. Oliver J. Bott and Prof. Peter Wübbelt.

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 be offering an integrated vocational training programme, which will allow participants to earn HiGHmed professional certificates in e-health.

The Hanover University of Applied Sciences (HsH), as a HiGHmeducation partner, has developed a course all about data management, entitled “Advanced Technologies and Methods of Data Analysis and Curation” under the direction of Prof. Oliver J. Bott and Prof. Peter Wübbelt. “Data analysis” and “data curation” are broad terms in data management, which encompass Business Intelligence, Data Warehousing and Data Mining. In the increasingly digital world of both business and research, the question is no longer whether there is enough data to analyse a problem but what to do with all the data.

In the field of healthcare and medical research, the ever growing volume of data being digitally generated represents greater knowledge potential, but also presents particular challenges – this data is stored in different formats, in different coding languages and is of differing quality. Before a meaningful analysis of the data can be undertaken, it needs to be managed and unified. Before data management can take place, there needs to exist considerable resources to underpin it –in the form of both powerful digital infrastructure and human expertise. There is currently a shortage of skilled workers in the field of medical informatics, which will worsen without suitable training and further education measures.

The first offering of the “Advanced Technologies and Methods of Data Analysis and Curation” course began in the HsH in September, 2019. The module catered for masters’ students in fields like medical information management or medical informatics as well as scientists, professional and managerial staff who desired further training in data integration and analysis in the context of medical research. The course introduces concepts and methods relevant to clinical data warehouses and data mining analysis (incl. machine learning), and specifically prepares students to utilise all methods (conceptual modelling techniques, multidimensional data models, machine learning and common machine learning algorithms) in their own research work upon completion. The course is available in an online format, which will allow all students to connect with one another and this also integrates the course within the HiGHmed framework being developed at all partner institutions.

The next course starts in March, 2020, and is available to students and staff of the academic partners and the other institutions involved in the HiGHmed project. If you are interested in the course, please direct enquiries to info@highmed-lehre.de.

First posted 15.01.2020, 09:30:00.