Pilot Application 7: Speech Recognition Assistance Systems in Nursing Care

Development of an AI-based demonstration system for voice-based nursing documentation and the creation of guidelines for the sustainable implementation of AI-based assistance systems in therapeutic care with Bochumer Institut für Technologie.

Starting Point

AI or machine learning-powered speech recognition and processing have a wide range of potential applications in healthcare. These technologies could greatly change healthcare professions and diagnostic and therapeutic procedures, making human-centred adoption of these technologies a key success factor.

In this pilot project, two different applications of automatic speech recognition were examined:

an assistance system designed to support nursing and medical documentation (Users: Healthcare professionals)
an assistive system for the treatment of speech and language disorders (users: patients)

The common goal that Bochum University of Applied Sciences and BO-I-T are pursuing in this pilot project is to tap into the vast potential of machine learning-based speech recognition and processing in the healthcare sector. Since these technologies will significantly transform healthcare professions, diagnostic, and therapeutic procedures, changes in technology and work design will be examined in parallel. BO-I-T approaches this shared goal primarily from the perspective of technical development, while Bochum University of Applied Sciences focuses on work design aspects and coordinates the practical implementation with end users through its network.

Additional Information

Podcast “Sprich KI mit mir!” Season 1 | April 2025

Podcast “Sprich KI mit mir!” Season 2 | November 2025

Scientific Publications

Bilda, K.; Dörr, F.; Thurmann, A. (Hg.) (2022): Artificial intelligence solutions in Parkinson therapy. Unter Mitarbeit von Tareq Ahram, Waldemar Karwowski, Pepetto Di Bucchianico, Redha Taiar, Luca Casarotto, Pietro Costa: AHFE International Open Access (Intelligent Human Systems Integration (IHSI 2022). Integrating People and Intelligent Systems. Procedings of the 5th Conference on Intelligent Human Systems Integration).

Freiwald, J.; Pracht, P.; Gergen, S.; Kolossa, D. (Hg.) (2022): Open-Source End-To-End Learning for Privacy-Preserving German ASR. DAGA 2022 – 48. Jahrestagung für Akustik, 21. – 24. März. Stuttgart (Tagungsband der DAGA 2022).

Gerlmaier, A.; Bendel, A. (2022): Usability is not enough: digitale Gestaltungskompetenz stärken mit friendlyAI@work. In: FIfF-Kommunikation (3), S. 215–246.

Gerlmaier, A. & Bendel, A. (2022): KI-Einsatz im Betrieb menschenfreundlich gestalten: das Workshopkonzept „friendly AI@work“ für betriebliche Praktiker*innen. In: Sabine Rehmer & Clarissa Eickholt (Hrsg.): 22. Workshop Psychologie der Arbeitssicherheit und Gesundheit – Transfer von Sicherheit und Gesundheit. Kröning: Asanger Verlag, S. 541–544.

Berretta, S.; Tausch, A.; Kluge, A.; Peifer, C. (2023): The Job Perception Inventory: considering human factors and needs in the design of human-AI work. In: Frontiers in psychology 14, S. 1–25. https://doi.org/10.3389/fpsyg.2023.1128945

Becker, L., Pracht, P., Sertdal, P., Uboreck, P.,Bendel, A., & Martin, R. (2024): Conditional Label Smoothing for LLM-Based Data Augmentation in Medical Text Classification. Accepted at Spoken Language Technology Workshop 2024 (SLT), Macau, China.

Thurmann, A.: Bilda, K.; Dörr, F.; Tönges, L.; Weirich, A.: Digital Competence Lab (DCL): Konzeption einer Lernplattform zur Förderung digitaler Handlungskompetenzen in der Logopädie

Berretta, S., & Kluge, A. (2025). Why Job Identity Matters: Insights for SHRM in AI-Driven Organizational Change. 5th International Conference in Human Resource Management, February 27-28, 2025, Lisbon.

Berretta, S., & Kluge, A. (2025). Job Identity as Starting Point for SHRM in AI-driven Organizational Change. 85th Annual Meeting of the Academy of Management, July 25-29, 2025, Copenhagen.

Thurmann, A.; Bilda, K.; Dörr, F.; Tönges, L.; Weirich, A. (2026): Digital Competence Lab (DCL) für die Logopädie. In: I4S 1/2026: Angewandte KI-Ethik am Arbeitsplatz. Eine gemeinsame Verantwortung – von der Radiologie und Sprachtherapie bis zur Montage . Industry 4.0 Science.

Thurmann, A., Dörr, F., Bilda, K. (2026): KI-basiertes Eigentraining in der Logopädie für Menschen mit Parkinson-Krankheit – Ergebnisse und Perspektiven einer Machbarkeitsstudie. Neurol Rehabil 2026; 32(2): 197-208 .