Multiplier case: AI in care

Design requirements for an AI-based documentation system in a care home

Summary

In this multiplier case study, the AI-based documentation system introduced at a care home was examined in terms of its human-centred approach. Through staff consultations and the implementation of the Friendly Tech Check, potential benefits and risks were assessed and further design requirements were identified.

Description of the Approach

As part of a staff dialogue, the procedures and design requirements of the AI-based care documentation system introduced at the care home were discussed. The discussion covered the wide-ranging benefits that have emerged since the system was introduced. At the same time, however, ongoing challenges were also addressed. Using the Friendly Tech Check, specific opportunities and risks associated with the AI-based care documentation tool were then identified from the users’ perspective.

Goals & Results

The aim was to identify design approaches for a human-centred use of AI. Uncertainties in dealing with AI and technical uncertainties (e.g. system crashes, data loss) were cited as key challenges. The design ideas therefore focused, amongst other things, on addressing technical interface issues and on establishing information resources and forums for care staff to facilitate (collegial) support and the exchange of experiences.

Berretta, S.; Liedmann, E.; Kramer, P.-F.; Gerlmaier, A.; Schmidt, C.: Dokumentationsqualität verbessern und mehr Zeit für die ‚eigentliche Arbeit‘ schaffen: Wie die Einführung KI-basierter Dokumentationssysteme in der Pflege gelingen kann

Berretta, S.; Liedmann, E.; Kramer, P.-F.; Gerlmaier, A.; Schmidt, C. (2026): KI-basierte Dokumentationssysteme in der Pflege. In: I4S 1/2026: Angewandte KI-Ethik am Arbeitsplatz. Eine gemeinsame Verantwortung – von der Radiologie und Sprachtherapie bis zur Montage . Industry 4.0 Science.

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Institute for Work and Qualifications, University of Duisburg-Essen