How artificial intelligence can improve medical care
Federal Ministry of Health supports new research project at the faculty
How can artificial intelligence (AI) improve medical care in the long term? The Chair of Interorganizational Information of the Faculty of Business and Economics is working on this topic together with colleagues from Darmstadt, Essen, Cologne and Munich in the new joint project "Establishing a platform for the development and validation of AI solutions in the clinical routine" (EVA-KI). The Federal Ministry of Health (BMG) is funding the project with 1.7 million euros.
In medicine, preventive measures and the early detection of diseases often provide better chances of recovery. One possible application is pulmonary embolism. Pulmonary embolism is a narrowing of a blood vessel in the lung or pulmonary circulation that can lead to occlusion. This constriction is usually caused by a blood clot, more rarely by gas bubbles or fat. Since this disease is potentially life-threatening, it should be detected and treated in time. "EVA-KI" aims to continuously collect data in clinical practice and to develop algorithms for clinical diagnostics. In doing so, the AI is intended to create a basis that enables more efficient diagnosis of diseases and, in the long term, expands medical treatment options.
The team around Prof. Dr. Manuel Trenz, Professor for Interorganizational Information Systems at the University of Göttingen, focuses on the interaction with the novel technology and its acceptance. "In addition to the technical and medical challenge, it is important to understand the interaction processes between artificial intelligence and doctors and to design them in such a way that the new information can be used efficiently for diagnosis, ultimately improving medical care," explains Trenz. Moreover, such innovations often fail to gain the acceptance of decision-makers and, due to a lack of dissemination, can only have a limited impact. This is where the team comes in and develops acceptance models and sustainable business models for the dissemination of AI solutions in the healthcare sector.
The interdisciplinary consortium with partners from computer science, medicine and economics is funded by the BMG within the framework of the funding line "Digital innovations for the improvement of patient-centered care in the health care system". Further information on the project can be found at http://hessian.ai-health.care/eva-ki.
Press release