The recordings of the conference AI for medicine and care are now available. Please join us to learn about real-world use cases where AI can support medical professionals already today.
The recordings of the conference AI for medicine and care are now available. Please join us to learn about real-world use cases where AI can support medical professionals already today.
The portion of elderly people within the Germany population is steadily increasing. As a result, the demand for adequate elderly care services is high. Currently, capacity planning and strategic decision taking is conducted by districts individually. As of today, this federated approach is lacking standardized analysis methods to create a holistic national view on the care topic.
The Electronic Registry for Elderly Care Services in Germany (ERPEL) (German: Elektronisches Register für Pflege-Dienstleistungen in Deutschland (ERPEL)) forms a longitudinal database of care-specific measures from individual districts to form a holistic national overview. For example, it contains details about available elderly care services, the current available capacity, demand for a specific service in a specific region.
ERPEL allows the up-to-date quantification of offer and demand for elderly care services across geographical regions. Thus, it enables a standardized methodological approach for interactive data analysis and exploration to support demand planning.
Amongst others, we are addressing the requirements of the following user groups: