What?

With the ViKI pro project, the consortium is developing and testing an AI-based, knowledge- and data-driven as well as self-learning support system for professional care process design in long-term care. The essential function of ViKI pro, developed for the first time for nursing as a hybrid AI system, is an interactive decision support as digitally assisted nursing planning, in which nursing professionals are proposed scientifically and professionally justified nursing measures weighted with regard to their quality. In the further course of the care process, ViKI pro continues to be active in the background and makes it possible to incorporate a changed situation as well as new knowledge learned in the meantime into the decision-making process. This continuously intelligent support is one of the strengths of ViKI pro, which sets the system apart from other nursing documentation systems.

How?

Using the knowledge and case databases as the data basis for the AI, the system compares the current situation and the risks of the residents along defined items and then proposes care measures whose quality is determined by the respective degree of recommendation and the information on effectiveness. The target value for the AI is thus the relevance of a care measure or its recommendation for care planning. The nursing staff can then weigh these up on the basis of their experience and, together with the residents, select suitable measures, incorporate them into the care planning and assess their effectiveness after certain periods of time. The latter is also fed back into the system and flows into future proposals for measures. To avoid duplicate documentation, ViKI pro is compatible with the now widespread structured information collection SIS® of the nursing facilities and the nursing information and documentation system in use, so that the nursing staff receive suggestions for suitable measures in the working environment they are familiar with, and can plan, document and evaluate them.