The health and care services have already adopted AI and are committed to broadening and scaling successful use. Start-ups and other commercial companies are constantly launching products that use AI to, for example, streamline the daily work of healthcare professionals. More AI solutions are also becoming available, increasingly enabling citizens, patients and relatives to handle health-related questions and tasks themselves, where appropriate in collaboration with the health and care services.
Due to this dynamic, where both the field of AI and the use of AI are developing rapidly, the implementation of the joint AI plan should adopt an agile approach so that it remains both relevant and flexible. Activities will be regularly prioritised and initiated, based on recommended topics and areas outlined in this report, while new topics can be prioritised in line with new or changing needs. This will necessitate considerable flexibility on the part of the participants in the plan.
Such an agile approach will be challenging to achieve with the existing organisation and decision-making processes in the health and care sector. Some measures may be implemented in an agile manner, for example in the form of line activities with the relevant stakeholders, where resource allocation is carried out internally. Larger initiatives will need to follow existing prioritisation and decision-making processes, and will thus take longer to start up and allocate resources to.
The prioritisation of new activities can be discussed within the AI Council and, where appropriate, in the National council model for eHealth.
The areas covered by the plan have one of the following statuses:
- Initiated is a subproject or management task that has been resourced by the participating organisation(s).
- Prioritised is a subproject or management task that currently has the highest priority and should be initiated.
- Recommended is a subproject or management task that is recommended, but not currently a priority.