Project

AI in inpatient rehabilitation

Artificial intelligence (AI) methods have been attracting increased public attention, at least since the introduction of generative AI such as ChatGPT. In healthcare, there are already established areas of application, such as the automated evaluation of image data or robot-assisted surgery. AI applications in healthcare have the potential, among other things, to improve the quality of care, increase efficiency, counteract the shortage of skilled workers and contribute to a greater personalisation of care. Overall, they are viewed positively by a majority of both practitioners and patients. Despite these expectations, there are various uncertainties and risks associated with the use of AI, for example with regard to data quality, data protection, possible discrimination against underrepresented groups, job satisfaction or the relationship of trust between doctors and patients. Therefore, especially in clinical settings and when interpersonal interactions are involved, it is important to carefully select areas of application and tools, define clear rules for the use of AI and quality assurance, and to design processes in such a way that human and technical capabilities are optimally combined.

The REHASAN group of companies would like to examine possible uses and areas of application for AI within the group in order to realize potential and thus generate benefits for patients, employees and the company. The aim of the study is to support REHASAN in this process, i.e. to assist in the selection and preparation of the roll-out of selected AI-supported technology(s). To this end, a systematic screening of possible AI applications and tools is being carried out to identify relevant applications. An analysis of the needs and requirements of employees and patients will be considered in the final selection, along with costs, technical requirements and other framework conditions. Finally, implementation steps for the business plan of the group will be defined for the selected application scenario.

Duration

7/2024 – 11/2024

Client

  • REHASAN-Kliniken Holding GmbH