Pro­jects

Cur­rent re­search pro­jects at the Di­gi­Health In­sti­tute

DI­GEMED

During the surgical removal of a brain tumour, the boundary between healthy tissue and tumour tissue must be identified. The conventional method for intraoperative tumour assessment involves taking a biopsy from the section of tissue in question and sending it to neuropathology for examination. The transport of the sample, the examination of the biopsy and the transmission of the diagnosis back to the operating theatre can lead to an increase in the duration of surgery. This process is to be digitised in the DIGEMED project (funded by the Bavarian State Ministry of Science and the Arts, running from 2019-2021) by using new technology to enable the tissue to be assessed without having to be removed. The Neu-Ulm University of Applied Sciences (project coordination), the Department of Neuropathology of the Technical University of Munich Hospital, the company Carl Zeiss AG and the company Clarcert GmbH are involved in the project. (opens in a new window)

More information about the project

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CARE RE­GIO

The topic of digitalisation and technology in care has been discussed with increasing intensity in Bavaria for several years now. The goal is to establish a leading region for innovative care in Bavaria. This can only succeed with the involvement of all actors relevant to care, i.e. from applied science, the caregivers, the people who need care or assistance, the service providers, the industry, cost bearers to politics and the various interest groups. The three Swabian universities of Augsburg, Kempten, Neu-Ulm, the University of Augsburg and the Klinikum Augsburg have joined forces to form an initiative group that wants to implement the CARE REGIO project. The core topics are the digital care transition report, a research database for care and the development of a free knowledge platform for care.

More information?

Ann-Kathrin Waibel

Your con­tact per­son: Ann-Kath­rin Waibel

Research assistant for digitalisation in care

Phone: +49 731 /9762-1628

Location: Main Building B, B.2.21

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As­sist­ance ro­bot­ics in neur­o­lo­gical re­hab­il­it­a­tion

The use of robotics in healthcare to support healthcare professionals is associated with great expectations. However, these devices have not yet become established in practice. High acquisition costs and a mixed acceptance of involved stakeholders are obstacles for a broader use. Therapy in neurological early rehabilitation (phase B) is an area that offers great potential for the use of assistive robotics. At the RKU (University and Rehabilitation Clinics Ulm), gait robots are to be used in the future for mobilising the lower extremities. The DigiHealth Institute accompanies the processes in phase B and the introduction of robotics at the RKU. A joint project proposal is currently under review. In a first study, the processes in different hospitals with and without robotics were examined. By means of expert interviews, opportunities and risks in the use of assistive robotics were evaluated.

Ann-Kathrin Waibel

Your con­tact per­son: Ann-Kath­rin Waibel

Research assistant for digitalisation in care

Phone: +49 731 /9762-1628

Location: Main Building B, B.2.21

To profile of Ann-Kathrin Waibel


EvalM­Health

Creation of a framework for the evaluation of mHealth applications

Mobile digital applications are being used more and more in medicine, especially in the form of smartphone apps or wearable devices such as fitness trackers. More often, the data finds its way into diagnosis and therapy, which raises the question of whether the results obtained are valid enough. There is a lack of a framework for the evaluation of mHealth applications that can be used as widely as possible. The project aims to develop such an evaluation framework for mHealth applications. The results will be exploited within the framework of a cooperative doctorate.


SwaMMP

SwaMMP is a monitoring project to record mosquito populations in Bavaria and Swabia. The data allow conclusions to be drawn about the effects of climate change and are suitable for estimating future waves of infectious diseases caused by insects.

Dr. Martin Schmieder

Your con­tact per­son: Dr. Mar­tin Schmieder

Scientific Project Management

Strategic Research Funding

Office of the Joint Ethics Committee of the Universities of Bavaria (GEHBa)

Phone: +49 731 /9762-1625

Location: Main Building B, B.2.19

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Eth­ics and di­git­al­isa­tion in SMEs

At the DigiHealth Institute, the increasing digitalisation of the health sector is at the centre of research work. In many sectors, ethical aspects are increasingly becoming a central issue in digitisation projects. New developments also raise new questions about how good and proper coexistence can function. With an ethical perspective, people should become aware of past, present and future actions in order to make correct decisions according to moral norms and values. This is especially true in the workplace, where fair and respectful interaction is particularly important.

At the DigiHealth Institute, we would therefore like to investigate the following question: To what extent are ethical aspects taken into account in the process of digitalisation by small and medium-sized enterprises? Within the framework of an online survey, we would therefore like to ask SMEs from the Ulm/Neu-Ulm region for their experiences and opinions. All information is anonymous. The survey will take about seven minutes.

https://umfrage.hs-neu-ulm.de/limesurvey/index.php/515985?lang=de (opens in a new window)

We look forward to your participation and thank you for your time and support!

Ann-Kathrin Waibel

Your con­tact per­son: Ann-Kath­rin Waibel

Research assistant for digitalisation in care

Phone: +49 731 /9762-1628

Location: Main Building B, B.2.21

To profile of Ann-Kathrin Waibel


N4N

In the project N4N (Neuronal Networks for Neuropathology) pathological images of a glioblastoma (malignant brain tumor) are investigated. Together with the Institute of Neuropathology, which is headed by Prof. Dr. Jürgen Schlegel, relevant tumor areas have already been marked. The data now serve as the basis for training a neural network to automatically localize tumor areas.