ExpliCareNEXT: Intelligent assistance for care – progress at first hand

3. July 2025

Reading time:

3 minutes

Modern AI technology makes everyday care easier. The ExpliCareNEXT project involves nursing staff in the development of such a system from the outset.

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ExpliCareNEXT is developing an explanatory AI-based assistance system specifically for home care. The overarching goal is to significantly reduce the workload of care staff and ensure a high quality of care, especially when inexperienced staff or career changers enter the profession.

The consistent involvement of future users is at the forefront of system development. To this end, nursing staff were interviewed and observations directly from everyday nursing care were integrated. In co-creation workshops, the needs and experiences of the nursing staff were transferred directly into the system design. On this basis, detailed use cases have already been defined and initial mock-ups for the user interface of the assistance system have been created. These early drafts provide a concrete insight into how the system can provide guidance during personal hygiene or organize care tasks, for example.

The ongoing system development integrates central AI components such as multilingual speech recognition and synthesis as well as the integration of chatbots. These technologies are designed to recognize the need for support and generate event-driven instructions based on data from care documentation and sensors.

The connection to the SmartLivingNEXT data room is central to secure and trustworthy data exchange. This enables, for example, smart home data – from motion detectors to lighting control – to be linked with data from everyday care, such as medication information. This enables a holistic view of people’s needs, which makes everyday care easier.

For Enrico Löhrke from inHaus GmbH, who heads the ExpliCareNEXT consortium, close cooperation with users is crucial: “For us, one thing is clear from the outset: practical AI assistance for care can only be developed together with those who will later use it – the care staff. Their needs and experiences are the foundation for ExpliCareNEXT.” This approach aims to create acceptance and reduce reservations.

Once the system design has been completed, a first version of the overall system is planned for evaluation, initially in laboratory environments and later in real everyday use.

By simplifying processes and providing support during induction, ExpliCareNEXT is designed to give professionals more time for human interaction. It is an important step in addressing the shortage of skilled nursing staff with intelligent solutions.

Listen to the article (in German):

Editorial office:

Marla

 Hanenberg

Category:

ExpliCareNEXT

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Central documents for SmartLivingNEXT

The white paper contains the guideline and reference framework for the future technical development of the SmartLivingNEXT Dataspace and the desired governance structure. It was created with the collaboration of teams from German Research Center for Artificial Intelligence (DFKI), the Research Association for Electrical Engineering at ZVEI e.V., Ludwig-Maximilians-Universität München (LMU) and Materna Information & Communications SE. You can have the white paper sent to you as a PDF. Please contact our project office at projektbuero@smartlivingnext.de.

The document is intended as a structuring investor perspective and orientation framework, not as a final business plan, and analyzes the possible roles of potential investors. It was written in collaboration with Michael Schidlack, Research Association for Electrical Engineering at ZVEI e.V., Dr. Rahild Neuburger, Ludwig-Maximilians-Universität München (LMU) and Lars Thomsen, future matters AG. You can have the document sent to you as a PDF. Please contact our project office at projektbuero@smartlivingnext.de.

Das Dokument erläutert im ersten Teil (Governance & Organisation) SmartLivingNEXT als föderiertes Datenökosystem und beschreibt die Rollen, Verantwortlichkeiten und Entscheidungslogiken. Der zweite Teil (technische Architektur & Datenraum) beschreibt, wie diese Governance technisch umgesetzt wird. Es entstand unter Mitwirkung von Michael Schidlack, Forschungsvereinigung Elektrotechnik beim ZVEI e.V., Dr. Rahild Neuburger, Ludwig-Maximilians-Universität München (LMU) und Fanni Vespermann, Materna Information & Communications SE. Sie können sich das Dokument als PDF zusenden lassen. Please contact our project office at projektbuero@smartlivingnext.de.

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