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Cresswell K, De Keizer NF, Magrabi F, Williams R, Rigby M, Prgomet M, Kukhareva P, Wong ZSY, Scott P, Craven CK, Georgiou A, Medlock S, Brender J, Ammenwerth E
Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel
Evaluation frameworks for Artificial Intelligence in clinical settings: let's not reinvent the wheel
Kathrin Cresswell;
Nicolette F De Keizer;
Farah Magrabi;
Robin Williams;
Michael Rigby;
Mirela Prgomet;
Polina Kukhareva;
Zoie Shui-Yee Wong;
Philip Scott;
Catherine K Craven;
Andrew Georgiou;
Stephanie Medlock;
Jytte Brender;
Elske Ammenwerth
ABSTRACT
Background:
There is an urgent need to incorporate theory-informed health information technology evaluation frameworks into existing and emerging guidelines for the evaluation of Artificial Intelligence (AI). Such frameworks can help developers, implementers, and strategic decision makers to build on existing experience and the existing empirical evidence base.
Objective:
To provide an overview of existing frameworks.
Methods:
We here provide concrete examples on how existing theory-informed health information technology evaluation frameworks may be used to inform the safe implementation of AI in healthcare settings.
Results:
AI-based evaluation frameworks need to consider technology, design, use by health and care professionals and organisations, and implementation strategy within and across organisations over time.
Conclusions:
There is an urgent need to refine and tailor existing theoretical approaches to AI-based health information technologies.
Citation
Please cite as:
Cresswell K, De Keizer NF, Magrabi F, Williams R, Rigby M, Prgomet M, Kukhareva P, Wong ZSY, Scott P, Craven CK, Georgiou A, Medlock S, Brender J, Ammenwerth E
Evaluating Artificial Intelligence in Clinical Settings—Let Us Not Reinvent the Wheel