A Systematic Review of Leveraging Enterprise Architecture to Overcome Blockers in AI-CDSS Implementation
by Anthony Lua, Ching Yi Chan, Takeichi Gushiken, Zong-Han Hsieh, Vivek Kothary, Rod Dilnutt and ABM Nayeem
In this article, students from the University of Melbourne analyse the literature exploring how EA can resolve the key barriers to adoption of AI-powered Clinical Decision Support Systems. The key areas of data governance, ethics, AI reliability, organisational resistance, and system interoperability are addressed, and the article shows how EA can be used as both a technical solution and a strategic enabler for the adoption of these AI-powered systems.
Acknowledgement
The paper has been created under the supervision of Dr Rod Dilnutt, School of Computing and Information Systems, The University of Melbourne.
