Wwiser - Implementation and adoption of AI-supported voice reporting in mental healthcare: psychological and organizational factors
Type of assignment: MA
Internal or external?: external: Minddistrict, location: hybrid / Amsterdam
Maximum number of students: 1
Individual collecting of data? Yes
Type of research: mixed / qualitative
Description of the assignment:
Mental healthcare organizations within the Dutch GGZ sector are increasingly experimenting with AI-supported and voice-driven reporting tools, such as speech-to-text documentation and automated reporting systems. These technologies are often introduced with the promise of reducing administrative burden, increasing efficiency, and allowing healthcare professionals to spend more time on patient care.
At the same time, early implementation experiences suggest that adoption of these technologies is not always straightforward. Mental healthcare professionals already express concerns and resistance towards the use of AI-supported reporting tools. Frequently mentioned concerns include:
“The tool cannot read between the lines.”
“Writing reports helps me structure my own thoughts.”
“If I become more efficient, I will simply receive a larger caseload and experience higher work pressure.”
These examples suggest that successful implementation is not only a technological issue, but also a psychological and organizational challenge involving professional identity, trust, workload perception, behavioral change, and organizational culture.
Wwiser, part of Minddistrict B.V., has been supporting healthcare organizations in the implementation and sustainable integration of eHealth since 2008. Based on this practical experience, we developed a pragmatic approach that aligns with the daily practice of healthcare professionals. In this way, digital care becomes not an additional task, but a natural and integrated part of everyday work.
From the perspective of Wwiser (our philosophy is “the technology is not the goal and therefore not the issue; working differently starts with looking differently) there is growing interest in understanding whether mental healthcare organizations require additional implementation and adoption support for these technologies.
Currently, this assumption is mainly based on practical observations and conversations with clients rather than systematic research. It remains unclear:
- how widespread implementation challenges actually are;
- which barriers most strongly influence adoption and sustainable use;
- whether organizations already manage implementation successfully without additional support;
and whether there is a concrete need for implementation and change guidance within the GGZ sector.
The goal of this thesis project is therefore to investigate the adoption, resistance, and implementation needs surrounding AI-supported reporting tools within Dutch mental healthcare organizations.
Possible research questions include:
- What factors influence the adoption of AI-supported reporting tools among GGZ professionals?
- Which psychological and organizational barriers hinder sustainable use?
- How do professionals perceive the impact of these tools on workload, autonomy, and quality of care?
- What implementation support needs exist within GGZ organizations?
- Which implementation strategies may contribute to successful and sustainable adoption?
Students are encouraged to develop and refine the final research question together with Wwiser and university supervisor. Mixed-methods approach is preferred, but qualitative is also possible.
Who are we looking for?
We are looking for a Master’s student in Health Psychology & Technology:
- Dutch language proficiency is preferred due to collaboration with Dutch GGZ organizations. For international students, fluency in English (written and spoken) is essential.
- is interested in healthcare innovation, AI, and behavioral change;
- has affinity with the mental healthcare sector (GGZ);
- can work independently and proactively;
- enjoys conducting interviews and applied research;
- is interested in translating scientific insights into practical recommendations for organizations.
What are we offering?
- A highly relevant and contemporary research topic within the Dutch GGZ sector;
- Collaboration with an innovative consultancy organization focused on sustainable change and technology adoption;
- Access to GGZ organizations and through the network of Wwiser;
- A flexible workplace and collaboration environment;
The opportunity to contribute to future implementation and adoption strategies for AI-supported healthcare technologies.
More information?: For more information or questions, you can contact Albertje Breitsma via a.breitsma@wwiser.nl
Additional : Wwiser is part of Minddistrict.