AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools

A study is investigating the impact of artificial intelligence in clinical applications beyond the technical specifications. In order for a holistic and efficient implementation to take place in the healthcare sector, data from practice must also be evaluated. Dr Noé Brasier co-authored this evaluation framework.

Artificial intelligence (AI) has the potential to revolutionise healthcare by improving clinical work and diagnostic capabilities as well as operational efficiency.
However, widespread clinical application is slower than expected, mainly due to the lack of comprehensive evaluations.
Existing categorisations remain inadequate and tend to focus on technical metrics such as accuracy and validation, while ignoring key real-world factors such as clinical impact, integration and economic sustainability. This limited focus prevents AI tools from being effectively implemented, which continues to delay their broader impact and long-term viability in clinical practice.

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