Artificial intelligence (AI) is no longer a topic of the future in care in 2026. Nursing organizations in the DACH region are under massive pressure: a shortage of specialists, increasing documentation requirements and growing regulatory complexity are coming up against limited resources. AI is increasingly seen as a possible lever for relieving the organizational burden on nursing staff.
However, our work on digital care and support processes clearly shows that it is not the technology that determines success, but its introduction into existing processes.
Where AI provides concrete support today
In practice, AI applications that address clearly defined tasks are proving particularly successful:
- Support with documentation and structuring of care information
- Preparation of administrative follow-up processes such as billing or resource planning
- Pattern recognition in care histories or vital data
- Assistance with communication and handovers
The benefits arise where AI works alongside the process and does not generate additional rework.
Central challenges
Three factors are decisive for success or failure:
- Acceptance:
Care staff only accept AI if they experience real relief. A lack of transparency or fear of control quickly lead to rejection. - Data quality:
AI is only as good as the database. Media disruptions, incomplete documentation or inconsistent master data significantly limit the benefits. - Training & understanding:
One-off training sessions are not enough. AI must be explained, categorized and continuously supported.
Success factors
- Integration into existing workflows
- Explainable, comprehensible results
- Clear responsibilities and governance
- Data protection as a basic requirement
Conclusion
AI can significantly reduce the burden on nursing care in 2026 – if it is understood as an organizational tool. Success is not determined by algorithms, but by the interaction of processes, data and people.