Dr. Alexander Scherrer, deputy head of the “Optimization in the Life Sciences” department at Fraunhofer ITWM, explains: “Our aim is to enable staff in applied care to efficiently plan optimal care services based on existing expertise and experience, tailored to each case.” ViKI pro uses a comprehensive medical history and a risk matrix to record precise case data. Based on this data and digitized care knowledge, the AI suggests suitable care measures.
“When care planners upload a case to the software, the system automatically analyzes the knowledge base and suggests case-specific care measures including reasons why certain measures are the optimal choice. This way, the software replaces the manual, potentially error-prone process of finding and weighing up individual measures,” explains Dr. Jonas Flechsig from the project team.
ViKI pro is developing the traditional care planning process into an AI-assisted process that integrates care documentation and thus offers comprehensive digital support. Once the measures have been implemented, the nursing staff can assess their effectiveness and gain practical experience that will inform future care decisions.
An initial prototype of the system will be tested in Caritas and Johanniter care facilities this summer.
MEDICA-tradefair.com; Source: Fraunhofer Institute for Industrial Mathematics ITWM
