Frequently Asked Questions
Frequently Asked Questions About Artificial Intelligence in Care
Who is this roadmap for, and who should use it in our facility?
Who is this roadmap for, and who should use it in our facility?
This roadmap is aimed at everyone responsible for or involved in digitalisation in care: management, facility and care service managers, IT specialists, quality management teams, and project teams.
Since a successful AI implementation process affects all levels of an organisation, the roadmap helps you take an interdisciplinary approach and involve your entire team from the very beginning – from care professionals to employee representatives.
Isn’t Artificial Intelligence in care too expensive and bureaucratic for our facility?
Isn’t Artificial Intelligence in care too expensive and bureaucratic for our facility?
The initial investment is usually only part of the story. In Step 4 (Concept Development – Planning Costs, Resources, and Technical Infrastructure), we show you how to realistically account for hidden follow-up costs, such as those for interfaces and training.
There are also often attractive funding opportunities available. The roadmap helps you navigate the “funding jungle” and remove budget barriers at an early stage.
What about data protection (GDPR) when using AI in care?
What about data protection (GDPR) when using AI in care?
Since care involves particularly sensitive health data, IT security is a requirement from day one.
In Step 3 (Law, Ethics & Data Protection – Acting Responsibly), you will learn how to comply pragmatically with GDPR requirements and the provisions of the EU AI Act.
Will Artificial Intelligence replace or dictate how our care professionals work?
Will Artificial Intelligence replace or dictate how our care professionals work?
No, absolutely not.
AI is not a replacement for care professionals and does not make autonomous medical decisions. It serves purely as an assistive tool – for example, to support biographical work or documentation – giving the team more time for direct, human-centred care.
The final decision and responsibility always remain with the care professional on site (human-in-the-loop principle).
What can we do if our team is sceptical about new technology?
What can we do if our team is sceptical about new technology?
Scepticism is completely normal and is often a protective response to the fear of additional workload. In Step 5 (Involving Stakeholders – Shaping Change Together), we show you how to address concerns in a targeted way using our persona concept.
One proven approach from our roadmap: Bring sceptical team members directly into your mixed test team. When critics experience the benefits in everyday work themselves during a protected pilot phase, they often become some of your strongest advocates within the team.
Do we need to replace our entire IT infrastructure to use AI?
Do we need to replace our entire IT infrastructure to use AI?
Generally, no. Most modern AI solutions are cloud-based, so you do not need expensive servers on site.
The real bottlenecks, however, are reliable, high-coverage Wi-Fi and interfaces with your existing care documentation and staff scheduling systems.
In Step 4 (Concept Development – Planning Costs, Resources, and Technical Infrastructure) and Step 6 (Pilot Phase & Evaluation – Gaining Experience and Learning from It), we provide you with practical checklists to carry out this “infrastructure check” with your software providers before signing a contract.