Data-driven working is more than simply unlocking and providing access to information. It is a way of working in which data is carefully recorded, trusted, and used for analysis and decision-making throughout the entire care chain. At the same time, it enables continuous improvement: those who measure results can translate them into new actions and interventions. 

By analysing data from various sources—ranging from patient records to sensor data and operational processes—a clear picture emerges of the current situation and underlying developments. Predictive models can help identify trends in, for example, care demand or patient risks at an earlier stage. 

This enables informed decision-making, from strategic policy choices to day-to-day planning. 

AI offers opportunities to reduce workload, accelerate care processes, and underpin decisions more thoroughly. That is why AI deserves a prominent place on the management agenda, as a strategic theme with a clear vision. A well-defined AI strategy ensures that initiatives are aligned, embraced, and truly add value. 

AI literacy is indispensable: the knowledge, skills, and awareness to use AI responsibly and effectively. The European AI Act even mandates this: organisations must ensure their people are AI literate. This legislation is already in force and will expand in scope and enforcement in the coming years. 

Now is the time for healthcare organisations to develop an integrated vision on AI, with a focus on responsible use.