New AI-based tools are being developed and tested every day, but few of these make it beyond the research setting into clinical practice. Our goal in this study was to understand the factors that prevent or limit the adoption of AI-based tools and explore ways to overcome them.
Our findings from the literature review, interviews and an international workshop with stakeholders identified 26 key considerations adopters should address to adopt AI-based tools into clinical practice. These considerations were categorised into eight themes: (i) legal and regulatory, (ii) data, (iii) algorithm, (iv) integration, (v) leadership and governance, (vi) procurement and economic, (vii) culture and AI acceptance, and (viii) competence and literacy.
We expect the whitepaper to help foster the safe and widespread adoption of AI-based tools in healthcare.
As an independent assurance and risk management organization, DNV aims to create value both directly and indirectly through assurance services provided. We are looking to develop new roles and services which meet the changing needs of stakeholders that the adoption of AI in healthcare presents. By understanding the key considerations to adopt AI-based tools in healthcare, we work towards identifying trust needs and practical assurance strategies to help enable AI adoption in healthcare.
If you are interested in learning more or collaborating with us, please get in touch.