Very interesting piece of work with great insights about the Enterprise Architecture Framework that we would like to share with the audience
Abstract
Over the past few years, there has been growing evidence of the potential of Artificial Intelligence (AI) in improving healthcare services. However, its actual adoption in healthcare practices is very limited. Based on some of the previously established research work, this paper identifies issues such as: major technical challenges and ethical concerns that are illustrated by researchers as the root cause for this limited adoption; and investigates the ability of three famous Enterprise Architecture Frameworks (EAF) to address these AI challenges in healthcare. The result of our investigation suggests that: TOGAF addresses the ethical concerns most comprehensively, Service Oriented Architecture (SOA) can eliminate technical challenges of interoperability and integration in the most systematic manner and Zachman, due to its ability to partially address the technical and ethical challenges, can only be adopted for maintaining and classification of important artefacts.
Research completed and published by:
- Antra Arshad University of Melbourne arshada@student.unimelb.edu.au
- Reema A. Alduaiji University of Melbourne ralduaiji@student.unimelb.edu.au
- Amrit Kurup University of Melbourne kurupa@student.unimelb.edu.au
- Maryam Alshehri
University of Melbourne maryamhamoud@student.unimelb.edu.au - Shruti Sunil University of Melbourne ssunil@student.unimelb.edu.au
Link to the file
https://nst.agency/wp-content/uploads/2022/02/EA-Framework-and-AI-Challenges-in-Healthcare.pdf
