Testbed Careful AI

Important results from the project

The goals have been achieved and partially exceeded by establishing a structured testbed capability for AI-driven solutions in healthcare. This includes processes for testing, legal, information security and early procurement involvement, strengthened collaboration between the public sector, business and academia, as well as new follow-up initiatives and test environments. The project has led to increased innovation maturity, improved implementation capability and long-term capacity building.

Expected long term effects

By building structures for faster testing, better risk management, earlier procurement dialogue and clearer implementation paths, better conditions are created that can have a major impact on how the public sector works with innovation, testing and implementation. The long-term effects are: • more relevant innovations, • faster introduction of new technology, • better work environment, • higher quality in healthcare and social care, • better resource utilisation.

Approach and implementation

The project established a testbed for AI and innovation with relevant activities linked to testing, legal, information security and procurement. The approach developed based on lessons learned and needs, which strengthened the implementation. The schedule was adjusted through extensions to ensure quality and long-term sustainability. External factors such as staff turnover and changing priorities affected the work, but collaborations and networks were strengthened and developed positively.

External links

Vård-och omsorgsförvaltningens och projektets specifika hemsida Webbsida för Helsingborgs stads alla testbäddar